{"id":22,"date":"2021-04-19T14:39:30","date_gmt":"2021-04-19T14:39:30","guid":{"rendered":"https:\/\/engineering.utsa.edu\/reu\/?page_id=22"},"modified":"2024-10-21T15:50:41","modified_gmt":"2024-10-21T15:50:41","slug":"projects","status":"publish","type":"page","link":"https:\/\/ceid.utsa.edu\/reu\/projects\/","title":{"rendered":"Projects"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"22\" class=\"elementor elementor-22\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-22be030 ot-traditional elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"22be030\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t\t<div class=\"elementor-background-overlay\"><\/div>\n\t\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-c790311 ot-flex-column-vertical\" data-id=\"c790311\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-b7d452e elementor-widget elementor-widget-spacer\" data-id=\"b7d452e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a7a9088 elementor-widget elementor-widget-heading\" data-id=\"a7a9088\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h1 class=\"elementor-heading-title elementor-size-default\">Projects<span style=\"letter-spacing: -1.7px\"> <\/span><\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-d5381e1 elementor-widget elementor-widget-spacer\" data-id=\"d5381e1\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-067582b ot-traditional elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"067582b\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-30fa1dc ot-flex-column-vertical\" data-id=\"30fa1dc\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-3f570e1 elementor-widget elementor-widget-spacer\" data-id=\"3f570e1\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-6bf5de6c ot-traditional elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"6bf5de6c\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-50b660b0 ot-flex-column-vertical\" data-id=\"50b660b0\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-ec31f80 elementor-widget elementor-widget-heading\" data-id=\"ec31f80\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h5 class=\"elementor-heading-title elementor-size-default\">Traffic Congestion Control Using Reinforcement Learning: Dr. Yufang Jin<\/h5>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-be6f6a0 elementor-widget elementor-widget-toggle\" data-id=\"be6f6a0\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"toggle.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-toggle\">\n\t\t\t\t\t\t\t<div class=\"elementor-toggle-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-1991\" class=\"elementor-tab-title\" data-tab=\"1\" role=\"button\" aria-controls=\"elementor-tab-content-1991\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon elementor-toggle-icon-left\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-closed\"><i class=\"fas fa-caret-right\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-opened\"><i class=\"elementor-toggle-icon-opened fas fa-caret-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-toggle-title\" tabindex=\"0\">View Project<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<div id=\"elementor-tab-content-1991\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"1\" role=\"region\" aria-labelledby=\"elementor-tab-title-1991\"><div style=\"margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr;color: #000000;font-family: 'Segoe UI', 'Segoe UI Web', Arial, Verdana, sans-serif;font-size: 12px\"><p style=\"margin-bottom: 0px;padding: 0px;vertical-align: baseline;background-color: transparent;color: windowtext\"><strong><span lang=\"EN-US\" style=\"background-color: transparent;color: windowtext;margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" xml:lang=\"EN-US\" data-contrast=\"auto\">Project description<\/span><span style=\"background-color: transparent;color: windowtext;margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" data-ccp-props=\"{}\">\u00a0<\/span><\/strong><\/p><\/div><div style=\"margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr;color: #000000\"><p style=\"font-family: 'Segoe UI', 'Segoe UI Web', Arial, Verdana, sans-serif;font-size: 12px;margin-bottom: 0px;padding: 0px;vertical-align: baseline;background-color: transparent;color: windowtext\"><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span style=\"font-family: Calibri, sans-serif;font-size: 11pt\">This project aims to develop a simulation package for autonomous driving and route redirection in a designated region using reinforcement learning (RL) algorithms. The developed RL algorithms will determine the motion and routes of vehicles considering the traffic safety, shortest traveling path, shortest traveling time, and traffic conditions to reduce traffic congestion. We will further verify the algorithms using a hardware-in-the-loop testbed including scale-down tracks, car-like rovers, and traffic signaling systems. Currently, 3 rovers (75:1 scale-down) have been built, and traffic signaling systems are developed by a senior design group.\u00a0<\/span><\/span><\/p><\/div><p><img fetchpriority=\"high\" decoding=\"async\" class=\"alignnone wp-image-469 size-large\" src=\"https:\/\/ceid.utsa.edu\/reu\/wp-content\/uploads\/sites\/110\/2022\/02\/Screen-Shot-2022-02-17-at-11.07.07-AM-2-1024x379.png\" alt=\"\" width=\"1024\" height=\"379\" srcset=\"https:\/\/ceid.utsa.edu\/reu\/wp-content\/uploads\/sites\/110\/2022\/02\/Screen-Shot-2022-02-17-at-11.07.07-AM-2-1024x379.png 1024w, https:\/\/ceid.utsa.edu\/reu\/wp-content\/uploads\/sites\/110\/2022\/02\/Screen-Shot-2022-02-17-at-11.07.07-AM-2-300x111.png 300w, https:\/\/ceid.utsa.edu\/reu\/wp-content\/uploads\/sites\/110\/2022\/02\/Screen-Shot-2022-02-17-at-11.07.07-AM-2-768x284.png 768w, https:\/\/ceid.utsa.edu\/reu\/wp-content\/uploads\/sites\/110\/2022\/02\/Screen-Shot-2022-02-17-at-11.07.07-AM-2-160x59.png 160w, https:\/\/ceid.utsa.edu\/reu\/wp-content\/uploads\/sites\/110\/2022\/02\/Screen-Shot-2022-02-17-at-11.07.07-AM-2-720x267.png 720w, https:\/\/ceid.utsa.edu\/reu\/wp-content\/uploads\/sites\/110\/2022\/02\/Screen-Shot-2022-02-17-at-11.07.07-AM-2.png 1034w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/p><p style=\"font-family: 'Segoe UI', 'Segoe UI Web', Arial, Verdana, sans-serif;font-size: 12px;margin-bottom: 0px;padding: 0px;vertical-align: baseline;background-color: transparent;color: windowtext\">\u00a0<\/p><div style=\"margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr;color: #000000\"><div style=\"font-family: 'Segoe UI', 'Segoe UI Web', Arial, Verdana, sans-serif;font-size: 12px;margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr\"><p style=\"margin-bottom: 0px;padding: 0px;vertical-align: baseline;background-color: transparent;color: windowtext\"><strong><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" xml:lang=\"EN-US\" data-contrast=\"auto\">T<span style=\"font-family: arial, helvetica, sans-serif\">asks\u00a0<\/span><\/span><\/strong><\/p><\/div><div style=\"margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr\"><ul><li style=\"font-family: 'Segoe UI', 'Segoe UI Web', Arial, Verdana, sans-serif;font-size: 12px;vertical-align: baseline;background-color: transparent;color: windowtext\"><span style=\"font-family: arial, helvetica, sans-serif;font-size: 12pt\"><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;line-height: 20.5042px\" xml:lang=\"EN-US\" data-contrast=\"auto\">Learn the basic concept of <\/span><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;line-height: 20.5042px\" xml:lang=\"EN-US\" data-contrast=\"auto\">the reinforcement learning algorithm<\/span><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;line-height: 20.5042px\" xml:lang=\"EN-US\" data-contrast=\"auto\">; (<\/span><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;line-height: 20.5042px\" xml:lang=\"EN-US\" data-contrast=\"auto\">W<\/span><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;line-height: 20.5042px\" xml:lang=\"EN-US\" data-contrast=\"auto\">eek<\/span><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;line-height: 20.5042px\" xml:lang=\"EN-US\" data-contrast=\"auto\">s<\/span><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;line-height: 20.5042px\" xml:lang=\"EN-US\" data-contrast=\"auto\">\u00a01<\/span><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;line-height: 20.5042px\" xml:lang=\"EN-US\" data-contrast=\"auto\">-2)<\/span><\/span><\/li><li style=\"font-family: 'Segoe UI', 'Segoe UI Web', Arial, Verdana, sans-serif;font-size: 12px;vertical-align: baseline;background-color: transparent;color: windowtext\"><span style=\"font-size: 12pt;font-family: arial, helvetica, sans-serif\">Get familiar with existing RL and interpretation algorithm<span lang=\"EN-US\" style=\"background-color: transparent;color: windowtext;margin: 0px;padding: 0px;line-height: 20.5042px\" xml:lang=\"EN-US\" data-contrast=\"auto\">\u00a0developed in Python<\/span><span lang=\"EN-US\" style=\"background-color: transparent;color: windowtext;margin: 0px;padding: 0px;line-height: 20.5042px\" xml:lang=\"EN-US\" data-contrast=\"auto\">;\u00a0<\/span><span lang=\"EN-US\" style=\"background-color: transparent;color: windowtext;margin: 0px;padding: 0px;line-height: 20.5042px\" xml:lang=\"EN-US\" data-contrast=\"auto\">(<\/span><span lang=\"EN-US\" style=\"background-color: transparent;color: windowtext;margin: 0px;padding: 0px;line-height: 20.5042px\" xml:lang=\"EN-US\" data-contrast=\"auto\">Week<\/span><span lang=\"EN-US\" style=\"background-color: transparent;color: windowtext;margin: 0px;padding: 0px;line-height: 20.5042px\" xml:lang=\"EN-US\" data-contrast=\"auto\">s<\/span><span lang=\"EN-US\" style=\"background-color: transparent;color: windowtext;margin: 0px;padding: 0px;line-height: 20.5042px\" xml:lang=\"EN-US\" data-contrast=\"auto\">\u00a02-3)<\/span><\/span><\/li><li style=\"vertical-align: baseline;background-color: transparent;color: windowtext\"><span style=\"font-family: arial, helvetica, sans-serif\">Get familiar with Simulators including CARLA, SUMO, and Python programming (Weeks 2-3)\u00a0<\/span><\/li><li style=\"vertical-align: baseline;background-color: transparent;color: windowtext\"><span style=\"font-family: arial, helvetica, sans-serif\">Determine possible reward functions to optimize an objective function related to the motion of vehicles. (Weeks 4-6)<\/span><\/li><li style=\"vertical-align: baseline;background-color: transparent;color: windowtext\"><span style=\"font-family: arial, helvetica, sans-serif\">Demonstrate single-vehicle motion or multiple vehicle routing with RL (Weeks 6-9)<\/span><\/li><li style=\"font-family: 'Segoe UI', 'Segoe UI Web', Arial, Verdana, sans-serif;font-size: 12px;vertical-align: baseline;background-color: transparent;color: windowtext\"><span style=\"font-family: arial, helvetica, sans-serif;font-size: 12pt\">Write a\u00a0<span lang=\"EN-US\" style=\"background-color: transparent;color: windowtext;margin: 0px;padding: 0px;line-height: 20.5042px\" xml:lang=\"EN-US\" data-contrast=\"auto\">weekly\u00a0<\/span><span lang=\"EN-US\" style=\"background-color: transparent;color: windowtext;margin: 0px;padding: 0px;line-height: 20.5042px\" xml:lang=\"EN-US\" data-contrast=\"auto\">report<\/span><span lang=\"EN-US\" style=\"background-color: transparent;color: windowtext;margin: 0px;padding: 0px;line-height: 20.5042px\" xml:lang=\"EN-US\" data-contrast=\"auto\">, project progress, manuscript for paper submission<\/span><span lang=\"EN-US\" style=\"background-color: transparent;color: windowtext;margin: 0px;padding: 0px;line-height: 20.5042px\" xml:lang=\"EN-US\" data-contrast=\"auto\">, and REU final presentation<\/span><span lang=\"EN-US\" style=\"background-color: transparent;color: windowtext;margin: 0px;padding: 0px;line-height: 20.5042px\" xml:lang=\"EN-US\" data-contrast=\"auto\">; (Weeks 2-10)<\/span><\/span><\/li><\/ul><\/div><div style=\"font-family: 'Segoe UI', 'Segoe UI Web', Arial, Verdana, sans-serif;font-size: 12px;margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr\"><div style=\"margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr\"><p style=\"margin-bottom: 0px;padding: 0px;vertical-align: baseline;background-color: transparent;color: windowtext\"><strong><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" xml:lang=\"EN-US\" data-contrast=\"auto\">Prerequisite<\/span><\/strong><\/p><\/div><div style=\"margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr\"><p style=\"margin-bottom: 0px;padding: 0px;vertical-align: baseline;background-color: transparent;color: windowtext\"><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" xml:lang=\"EN-US\" data-contrast=\"auto\">The basics of neural networks and Python are needed.<\/span><\/p><\/div><div style=\"margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr\"><p style=\"margin-bottom: 0px;padding: 0px;vertical-align: baseline;background-color: transparent;color: windowtext\"><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" xml:lang=\"EN-US\" data-contrast=\"auto\">References:\u00a0<\/span><\/p><\/div><div style=\"margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr\"><ol><li style=\"vertical-align: baseline;background-color: transparent;color: windowtext\"><span style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" data-ccp-props=\"{}\"><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span style=\"margin: 0px;padding: 0px;background-color: inherit\">Introduction to Reforcement Learning by David SIlver: https:\/\/www.youtube.com\/watch?v=2pWv7GOvuf0&amp;list=PLqYmG7hTraZDM-OYHWgPebj2MfCFzFObQ<\/span><\/span><br \/><\/span><\/li><\/ol><\/div><\/div><\/div><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-a496c53 ot-traditional elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"a496c53\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-09e55d2 ot-flex-column-vertical\" data-id=\"09e55d2\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-bdfd962 elementor-widget elementor-widget-spacer\" data-id=\"bdfd962\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-861610a ot-traditional elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"861610a\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-3ddc93a ot-flex-column-vertical\" data-id=\"3ddc93a\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-444b49f elementor-widget elementor-widget-heading\" data-id=\"444b49f\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h5 class=\"elementor-heading-title elementor-size-default\">Magma 5G Open Source Software Technology: Dr. Brian Kelley <br>GRA: Taylor\u202fEisman<br><\/h5>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a3312da elementor-widget elementor-widget-toggle\" data-id=\"a3312da\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"toggle.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-toggle\">\n\t\t\t\t\t\t\t<div class=\"elementor-toggle-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-1711\" class=\"elementor-tab-title\" data-tab=\"1\" role=\"button\" aria-controls=\"elementor-tab-content-1711\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon elementor-toggle-icon-left\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-closed\"><i class=\"fas fa-caret-right\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-opened\"><i class=\"elementor-toggle-icon-opened fas fa-caret-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-toggle-title\" tabindex=\"0\">View Project<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<div id=\"elementor-tab-content-1711\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"1\" role=\"region\" aria-labelledby=\"elementor-tab-title-1711\"><div style=\"margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr;color: #000000;font-family: 'Segoe UI', 'Segoe UI Web', Arial, Verdana, sans-serif;font-size: 12px\"><p style=\"margin-bottom: 0px;padding: 0px;vertical-align: baseline;background-color: transparent;color: windowtext\"><strong><span lang=\"EN\" style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" xml:lang=\"EN\" data-contrast=\"auto\">Project Description<\/span><span style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" data-ccp-props=\"{}\">\u00a0<\/span><\/strong><\/p><\/div><div style=\"margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr;color: #000000\"><p style=\"font-family: 'Segoe UI', 'Segoe UI Web', Arial, Verdana, sans-serif;font-size: 12px;margin-bottom: 0px;padding: 0px;vertical-align: baseline;background-color: transparent;color: windowtext\"><span lang=\"EN\" style=\"margin: 0px;padding: 0px;font-size: 12pt;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif;line-height: 20.5042px\" xml:lang=\"EN\" data-contrast=\"auto\">The goal of the project is to<\/span><span lang=\"EN\" style=\"margin: 0px;padding: 0px;font-size: 12pt;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif;line-height: 20.5042px\" xml:lang=\"EN\" data-contrast=\"auto\">\u202f<\/span><span lang=\"EN\" style=\"margin: 0px;padding: 0px;font-size: 12pt;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif;line-height: 20.5042px\" xml:lang=\"EN\" data-contrast=\"auto\">learn next generation 5G SW Standards, 5G Programming, and 5G\u202fNetworks critical to engineers and vital for emerging software engineers, network engineers,\u00a0<\/span><span lang=\"EN\" style=\"margin: 0px;padding: 0px;font-size: 12pt;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif;line-height: 20.5042px\" xml:lang=\"EN\" data-contrast=\"auto\"><span style=\"margin: 0px;padding: 0px;background-position: left bottom;border-bottom: 1px solid transparent;background-color: inherit\">telecomm<\/span><\/span><span lang=\"EN\" style=\"margin: 0px;padding: 0px;font-size: 12pt;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif;line-height: 20.5042px\" xml:lang=\"EN\" data-contrast=\"auto\">, and advanced R&amp;D.\u202f\u202fLearn, download, and build models of 5G\u202fNetworks used\u202fin the most advanced\u202fnetwork standard in the world.\u202fREU Students\u202fcompose 5G Network\u202fmodels from Open Source\u202fLibraries;\u202fdevelop a Protocol Data Unit Session for 5G Systems.\u202f<\/span><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;font-size: 12pt;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif;line-height: 20.5042px\" xml:lang=\"EN-US\" data-contrast=\"auto\">\u202f<\/span><span lang=\"EN\" style=\"margin: 0px;padding: 0px;font-size: 12pt;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif;line-height: 20.5042px\" xml:lang=\"EN\" data-contrast=\"auto\">Magma is a\u202f5G\u202fOpen Source Software project develop software applications that communicate 5G data packets.\u202f<\/span><span lang=\"EN\" style=\"margin: 0px;padding: 0px;font-size: 12pt;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif;line-height: 20.5042px\" xml:lang=\"EN\" data-contrast=\"auto\">Facebook has developed Magma (see\u202f<\/span><a style=\"margin: 0px;padding: 0px;color: inherit\" href=\"https:\/\/www.magmacore.org\/\" target=\"_blank\" rel=\"noreferrer noopener\"><span lang=\"EN\" style=\"margin: 0px;padding: 0px;font-size: 12pt;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif;line-height: 20.5042px\" xml:lang=\"EN\" data-contrast=\"auto\">https:\/\/www.magmacore.org\/<\/span><\/a><span lang=\"EN\" style=\"margin: 0px;padding: 0px;font-size: 12pt;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif;line-height: 20.5042px\" xml:lang=\"EN\" data-contrast=\"auto\">).\u202f It is an open source software\u202fproject for\u202f5G Telecommunication researchers, operators, and labs for rapid prototyping of 5G Core Networks. The\u202fOpen Source Project provides software-centric, distributed data packet networks, containerized network function, and tools for automated\u202fnetwork management.\u202f<\/span><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;font-size: 12pt;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif;line-height: 20.5042px\" xml:lang=\"EN-US\" data-contrast=\"auto\">\u202f<\/span><span style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" data-ccp-props=\"{}\">\u00a0<\/span><\/p><p style=\"font-family: 'Segoe UI', 'Segoe UI Web', Arial, Verdana, sans-serif;font-size: 12px;margin-bottom: 0px;padding: 0px;vertical-align: baseline;background-color: transparent;color: windowtext\"><span style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" data-ccp-props=\"{}\">\u00a0<\/span><\/p><p><img decoding=\"async\" class=\"alignnone wp-image-189\" src=\"https:\/\/ceid.utsa.edu\/reu\/wp-content\/uploads\/sites\/110\/2021\/04\/Kelleyprojpic.png\" alt=\"\" width=\"544\" height=\"265\" srcset=\"https:\/\/ceid.utsa.edu\/reu\/wp-content\/uploads\/sites\/110\/2021\/04\/Kelleyprojpic.png 624w, https:\/\/ceid.utsa.edu\/reu\/wp-content\/uploads\/sites\/110\/2021\/04\/Kelleyprojpic-300x146.png 300w, https:\/\/ceid.utsa.edu\/reu\/wp-content\/uploads\/sites\/110\/2021\/04\/Kelleyprojpic-160x78.png 160w\" sizes=\"(max-width: 544px) 100vw, 544px\" \/><\/p><div style=\"font-family: 'Segoe UI', 'Segoe UI Web', Arial, Verdana, sans-serif;font-size: 12px;margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr\"><p style=\"margin-bottom: 0px;padding: 0px;vertical-align: baseline;background-color: transparent;color: windowtext\"><strong><span lang=\"EN\" style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" xml:lang=\"EN\" data-contrast=\"auto\">Tasks<\/span><span style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" data-ccp-props=\"{}\">\u00a0<\/span><\/strong><\/p><\/div><div style=\"margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr\"><ul style=\"font-family: 'Segoe UI', 'Segoe UI Web', Arial, Verdana, sans-serif;font-size: 12px\"><li style=\"vertical-align: baseline;background-color: transparent;color: windowtext\"><span style=\"font-family: arial, helvetica, sans-serif;font-size: 12pt\"><span lang=\"EN\" style=\"margin: 0px;padding: 0px;line-height: 20.5042px\" xml:lang=\"EN\" data-contrast=\"auto\">Install open source software packages from Anaconda,\u202f<\/span><span lang=\"EN\" style=\"margin: 0px;padding: 0px;line-height: 20.5042px\" xml:lang=\"EN\" data-contrast=\"auto\"><span style=\"margin: 0px;padding: 0px;background-position: left bottom;border-bottom: 1px solid transparent;background-color: inherit\">Pycharm<\/span><\/span><span lang=\"EN\" style=\"margin: 0px;padding: 0px;line-height: 20.5042px\" xml:lang=\"EN\" data-contrast=\"auto\">, Magma, and\u202f<\/span><span lang=\"EN\" style=\"margin: 0px;padding: 0px;line-height: 20.5042px\" xml:lang=\"EN\" data-contrast=\"auto\"><span style=\"margin: 0px;padding: 0px;background-position: left bottom;border-bottom: 1px solid transparent;background-color: inherit\">Github<\/span><\/span><span lang=\"EN\" style=\"margin: 0px;padding: 0px;line-height: 20.5042px\" xml:lang=\"EN\" data-contrast=\"auto\">\u202f<\/span><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;line-height: 20.5042px\" xml:lang=\"EN-US\" data-contrast=\"auto\">\u202f<\/span> <\/span><\/li><li><span style=\"font-family: arial, helvetica, sans-serif;font-size: 12pt\">Review Software tutorials with your mentors, once a week<span lang=\"EN-US\" style=\"background-color: transparent;color: windowtext;margin: 0px;padding: 0px;line-height: 20.5042px\" xml:lang=\"EN-US\" data-contrast=\"auto\">\u202f<\/span> Download\u202fand\u202fOpen Source 5G Software,\u202fAnaconda, Magma,\u202fand\u202f<span lang=\"EN\" style=\"background-color: transparent;color: windowtext;margin: 0px;padding: 0px;line-height: 20.5042px\" xml:lang=\"EN\" data-contrast=\"auto\"><span style=\"margin: 0px;padding: 0px;background-position: left bottom;border-bottom: 1px solid transparent;background-color: inherit\">Github<\/span><\/span><\/span><span style=\"font-family: arial, helvetica, sans-serif;font-size: 12pt\"><span style=\"font-family: arial, helvetica, sans-serif;font-size: 12pt\"><span lang=\"EN-US\" style=\"background-color: transparent;color: windowtext;margin: 0px;padding: 0px;line-height: 20.5042px\" xml:lang=\"EN-US\" data-contrast=\"auto\">\u202f<\/span><\/span><\/span>\u00a0<\/li><\/ul><div style=\"font-family: 'Segoe UI', 'Segoe UI Web', Arial, Verdana, sans-serif;font-size: 12px;margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr\"><ul><li style=\"list-style-type: none\"><ul><li style=\"vertical-align: baseline;background-color: transparent;color: windowtext\"><span style=\"color: #3366ff\"><a style=\"margin: 0px;padding: 0px;color: #3366ff\" href=\"https:\/\/magmacore.org\/\" target=\"_blank\" rel=\"noreferrer noopener\"><span lang=\"EN\" style=\"margin: 0px;padding: 0px;font-size: 12pt;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif;line-height: 20.5042px\" xml:lang=\"EN\" data-contrast=\"auto\">https:\/\/magmacore.org<\/span><\/a><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;font-size: 12pt;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif;line-height: 20.5042px\" xml:lang=\"EN-US\" data-contrast=\"auto\">\u202f<\/span> <\/span><\/li><li style=\"vertical-align: baseline;background-color: transparent;color: windowtext\"><a style=\"margin: 0px;padding: 0px;color: #3366ff\" href=\"https:\/\/github.com\/magma\/magma\" target=\"_blank\" rel=\"noreferrer noopener\"><span lang=\"EN\" style=\"margin: 0px;padding: 0px;font-size: 12pt;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif;line-height: 20.5042px\" xml:lang=\"EN\" data-contrast=\"auto\">https:\/\/github.com\/magma\/magma<\/span><\/a><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;font-size: 12pt;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif;line-height: 20.5042px\" xml:lang=\"EN-US\" data-contrast=\"auto\">\u202f<\/span><\/li><li style=\"vertical-align: baseline;background-color: transparent;color: windowtext\"><a style=\"margin: 0px;padding: 0px;color: #3366ff\" href=\"https:\/\/www.anaconda.com\/\" target=\"_blank\" rel=\"noreferrer noopener\"><span lang=\"EN\" style=\"margin: 0px;padding: 0px;font-size: 12pt;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif;line-height: 20.5042px\" xml:lang=\"EN\" data-contrast=\"auto\">https:\/\/www.anaconda.com<\/span><\/a><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;font-size: 12pt;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif;line-height: 20.5042px\" xml:lang=\"EN-US\" data-contrast=\"auto\">\u202f<\/span><\/li><li style=\"vertical-align: baseline;background-color: transparent;color: windowtext\"><a style=\"margin: 0px;padding: 0px;color: #3366ff\" href=\"https:\/\/www.intel.com\/content\/www\/us\/en\/wireless-network\/what-is-5g.html\" target=\"_blank\" rel=\"noreferrer noopener\"><span lang=\"EN\" style=\"margin: 0px;padding: 0px;font-size: 12pt;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif;line-height: 20.5042px\" xml:lang=\"EN\" data-contrast=\"auto\">https:\/\/www.intel.com\/content\/www\/us\/en\/wireless-network\/what-is-5g.html<\/span><\/a><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;font-size: 12pt;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif;line-height: 20.5042px\" xml:lang=\"EN-US\" data-contrast=\"auto\">\u202f<\/span><\/li><li style=\"vertical-align: baseline;background-color: transparent;color: windowtext\"><a style=\"margin: 0px;padding: 0px;color: #3366ff\" href=\"https:\/\/www.ericsson.com\/en\/5g\/5g-for-consumers\" target=\"_blank\" rel=\"noreferrer noopener\"><span lang=\"EN\" style=\"margin: 0px;padding: 0px;font-size: 12pt;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif;line-height: 20.5042px\" xml:lang=\"EN\" data-contrast=\"auto\">https:\/\/www.ericsson.com\/en\/5g\/5g-for-consumers<\/span><\/a><span lang=\"EN\" style=\"margin: 0px;padding: 0px;font-size: 12pt;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif;line-height: 20.5042px\" xml:lang=\"EN\" data-contrast=\"auto\">\u202f<\/span><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;font-size: 12pt;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif;line-height: 20.5042px\" xml:lang=\"EN-US\" data-contrast=\"auto\">\u202f<\/span><span style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" data-ccp-props=\"{}\">\u00a0<\/span>\u00a0<\/li><\/ul><\/li><\/ul><\/div><ul style=\"font-family: 'Segoe UI', 'Segoe UI Web', Arial, Verdana, sans-serif;font-size: 12px\"><li style=\"vertical-align: baseline;background-color: transparent;color: windowtext\"><span style=\"font-family: arial, helvetica, sans-serif;font-size: 12pt\">Set up software platforms and review\u202fsoftware\u202fmethodology with GRA\u202fmentor<span lang=\"EN-US\" style=\"background-color: transparent;color: windowtext;margin: 0px;padding: 0px;line-height: 20.5042px\" xml:lang=\"EN-US\" data-contrast=\"auto\">\u202f<\/span> <\/span><\/li><li style=\"vertical-align: baseline;background-color: transparent;color: windowtext\"><span style=\"font-family: arial, helvetica, sans-serif;font-size: 12pt\">Students Develop 5G network prototypes in Open Source Software<\/span><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" xml:lang=\"EN-US\" data-contrast=\"auto\">\u202f<\/span><span style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" data-ccp-props=\"{}\">\u00a0<\/span><\/li><\/ul><\/div><div style=\"font-family: 'Segoe UI', 'Segoe UI Web', Arial, Verdana, sans-serif;font-size: 12px;margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr\"><p style=\"margin-bottom: 0px;padding: 0px;vertical-align: baseline;background-color: transparent;color: windowtext\"><span style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" data-ccp-props=\"{}\">\u00a0<\/span><\/p><\/div><div style=\"font-family: 'Segoe UI', 'Segoe UI Web', Arial, Verdana, sans-serif;font-size: 12px;margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr\"><p style=\"margin-bottom: 0px;padding: 0px;vertical-align: baseline;background-color: transparent;color: windowtext\"><strong><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" xml:lang=\"EN-US\" data-contrast=\"auto\">Prerequisite<\/span><span style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" data-ccp-props=\"{}\">\u00a0<\/span><\/strong><\/p><\/div><div style=\"font-family: 'Segoe UI', 'Segoe UI Web', Arial, Verdana, sans-serif;font-size: 12px;margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr\"><p style=\"margin-bottom: 0px;padding: 0px;vertical-align: baseline;background-color: transparent;color: windowtext\"><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" xml:lang=\"EN-US\" data-contrast=\"auto\">Basic programming in\u00a0<\/span><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" xml:lang=\"EN-US\" data-contrast=\"auto\">Matlab<\/span><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" xml:lang=\"EN-US\" data-contrast=\"auto\">\/Python<\/span><\/p><\/div><\/div><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-bfbe02d ot-traditional elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"bfbe02d\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-3b63ae9 ot-flex-column-vertical\" data-id=\"3b63ae9\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-01cefb0 elementor-widget elementor-widget-spacer\" data-id=\"01cefb0\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-c7b2741 ot-traditional elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"c7b2741\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-6bf4abc ot-flex-column-vertical\" data-id=\"6bf4abc\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-79e0dda elementor-widget elementor-widget-heading\" data-id=\"79e0dda\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h5 class=\"elementor-heading-title elementor-size-default\">Construction of Homogeneity-Inspired Neural Network:   Dr. Chunjiang Qian<\/h5>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-460702b elementor-widget elementor-widget-toggle\" data-id=\"460702b\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"toggle.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-toggle\">\n\t\t\t\t\t\t\t<div class=\"elementor-toggle-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-7341\" class=\"elementor-tab-title\" data-tab=\"1\" role=\"button\" aria-controls=\"elementor-tab-content-7341\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon elementor-toggle-icon-left\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-closed\"><i class=\"fas fa-caret-right\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-opened\"><i class=\"elementor-toggle-icon-opened fas fa-caret-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-toggle-title\" tabindex=\"0\">View Project<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<div id=\"elementor-tab-content-7341\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"1\" role=\"region\" aria-labelledby=\"elementor-tab-title-7341\"><div style=\"margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr;color: #000000;font-family: 'Segoe UI', 'Segoe UI Web', Arial, Verdana, sans-serif;font-size: 12px\"><p style=\"margin-bottom: 0px;padding: 0px;vertical-align: baseline;background-color: transparent;color: windowtext\"><strong><span lang=\"EN\" style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" xml:lang=\"EN\" data-contrast=\"auto\">Project Description<\/span><span style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" data-ccp-props=\"{}\">\u00a0<\/span><\/strong><\/p><\/div><div style=\"margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr;color: #000000\"><p style=\"font-family: 'Segoe UI', 'Segoe UI Web', Arial, Verdana, sans-serif;font-size: 12px;margin-bottom: 0px;padding: 0px;vertical-align: baseline;background-color: transparent;color: windowtext\"><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;font-size: 12pt;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif;line-height: 20.5042px\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span lang=\"EN-US\" style=\"font-size: 12pt;margin: 0px;padding: 0px;line-height: 20.5042px\" xml:lang=\"EN-US\" data-contrast=\"auto\">Dynamic systems use mathematical models to describe various things or environments, such as unmanned vehicles, energy-saving and SpaceX rockets. In order to simplify the modeling and control problems in dynamical systems, many big data technologies have been applied, and neural networks are one of them. Neural network has flexible architecture and can be very useful\u00a0<\/span><span lang=\"EN-US\" style=\"font-size: 12pt;margin: 0px;padding: 0px;line-height: 20.5042px\" xml:lang=\"EN-US\" data-contrast=\"auto\">in classifications, regressions\u00a0<\/span><span lang=\"EN-US\" style=\"font-size: 12pt;margin: 0px;padding: 0px;line-height: 20.5042px\" xml:lang=\"EN-US\" data-contrast=\"auto\">as long as enough data sets are collected. Neural networks are mainly used in the field of computer vision, but it can also be used to simulate dynamic systems and predict the future state of the system.\u00a0<\/span><span lang=\"EN-US\" style=\"font-size: 12pt;margin: 0px;padding: 0px;line-height: 20.5042px\" xml:lang=\"EN-US\" data-contrast=\"auto\">Recent work on Neural Ordinary Differential Equations (Neural ODEs) [1] has provided a correspondence between discrete deep learning networks and continuous-time ODEs. This has given new tools for designing the network infrastructure of deep learning networks, as well as for training. [2] proposed an algebra framework and an approximation theory to reveal the relationship between the neural networks and the structure of the compositional function to be approximated. The compositional functions use directed acyclic graph (DAG) to represent a mapping between input and output and provide an intuitive structure. With this theoretical foundation, we can make error analysis of neural networks for functions as input-output relations and functions generated based on the trajectories of differential equations.<\/span><span style=\"font-size: 12pt;margin: 0px;padding: 0px;line-height: 20.5042px\" data-ccp-props=\"{}\">\u00a0<\/span>\u202f<\/span><span style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" data-ccp-props=\"{}\">\u00a0<\/span><\/p><p style=\"font-family: 'Segoe UI', 'Segoe UI Web', Arial, Verdana, sans-serif;font-size: 12px;margin-bottom: 0px;padding: 0px;vertical-align: baseline;background-color: transparent;color: windowtext\"><span style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" data-ccp-props=\"{}\">\u00a0<\/span><\/p><p><img decoding=\"async\" class=\"alignnone wp-image-194\" src=\"https:\/\/ceid.utsa.edu\/reu\/wp-content\/uploads\/sites\/110\/2021\/04\/Qianprojpic.png\" alt=\"\" width=\"423\" height=\"195\" srcset=\"https:\/\/ceid.utsa.edu\/reu\/wp-content\/uploads\/sites\/110\/2021\/04\/Qianprojpic.png 1020w, https:\/\/ceid.utsa.edu\/reu\/wp-content\/uploads\/sites\/110\/2021\/04\/Qianprojpic-300x139.png 300w, https:\/\/ceid.utsa.edu\/reu\/wp-content\/uploads\/sites\/110\/2021\/04\/Qianprojpic-768x355.png 768w, https:\/\/ceid.utsa.edu\/reu\/wp-content\/uploads\/sites\/110\/2021\/04\/Qianprojpic-160x74.png 160w, https:\/\/ceid.utsa.edu\/reu\/wp-content\/uploads\/sites\/110\/2021\/04\/Qianprojpic-720x332.png 720w\" sizes=\"(max-width: 423px) 100vw, 423px\" \/><\/p><div style=\"font-family: 'Segoe UI', 'Segoe UI Web', Arial, Verdana, sans-serif;font-size: 12px;margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr\"><p style=\"margin-bottom: 0px;padding: 0px;vertical-align: baseline;background-color: transparent;color: windowtext\"><strong><span lang=\"EN\" style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" xml:lang=\"EN\" data-contrast=\"auto\">Tasks<\/span><span style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: arial, helvetica, sans-serif\" data-ccp-props=\"{}\">\u00a0<\/span><\/strong><\/p><\/div><div style=\"margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr\"><ul style=\"font-family: 'Segoe UI', 'Segoe UI Web', Arial, Verdana, sans-serif;font-size: 12px\"><li><span style=\"font-family: arial, helvetica, sans-serif;font-size: 12pt\"><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;line-height: 20.5042px\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span style=\"background-color: inherit\"><span style=\"background-color: inherit\">Use neural networks to simulate dynamic systems and predict the future state of them\u00a0<\/span>\u00a0<\/span>\u202f<\/span> <\/span><\/li><li><span style=\"font-family: arial, helvetica, sans-serif;font-size: 12pt\"><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;line-height: 20.5042px\" xml:lang=\"EN-US\" data-contrast=\"auto\">Construct\u00a0<\/span><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;line-height: 20.5042px\" xml:lang=\"EN-US\" data-contrast=\"auto\">a discrete-depth network by employing the homogenous functions at the nodes.\u00a0<\/span><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;line-height: 20.5042px\" xml:lang=\"EN-US\" data-contrast=\"auto\">The homogeneous network (Figure 1) is represented as a directed acyclic graph (DAG) and can be considered as a compositional function<\/span><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;line-height: 20.5042px\" xml:lang=\"EN-US\" data-contrast=\"auto\">\u00a0[2]<\/span><\/span><\/li><li><span style=\"font-family: arial, helvetica, sans-serif;font-size: 12pt\">Realize the new construction and training in Python\/MATLAB.<\/span><\/li><li style=\"vertical-align: baseline;background-color: transparent;color: windowtext\"><span lang=\"EN-US\" style=\"background-blend-mode: normal;border-collapse: separate;border-spacing: 0px;border-radius: 0px;caption-side: top;clear: none;columns: auto auto;column-fill: balance;column-rule: 0px none #000000;column-span: none;cursor: text;direction: ltr;flex: 0 1 auto;flex-flow: row nowrap;float: none;font-family: arial, helvetica, sans-serif;font-size: 12pt;grid-auto-columns: auto;grid-auto-rows: auto;grid-template-columns: none;grid-template-rows: none;height: auto;line-height: 20.5042px;margin: 0px;max-height: none;max-width: none;min-height: 0px;min-width: 0px;overflow: visible;padding: 0px;vertical-align: baseline;border: 0px none #000000\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span style=\"background-color: inherit\">Test different constructions of new neural networks and compare the effectiveness to the traditional construction.<\/span><\/span><\/li><\/ul><\/div><div style=\"font-family: 'Segoe UI', 'Segoe UI Web', Arial, Verdana, sans-serif;font-size: 12px;margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr\"><p style=\"margin-bottom: 0px;padding: 0px;vertical-align: baseline;background-color: transparent;color: windowtext\"><span style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" data-ccp-props=\"{}\">\u00a0<\/span><\/p><\/div><div style=\"font-family: 'Segoe UI', 'Segoe UI Web', Arial, Verdana, sans-serif;font-size: 12px;margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr\"><p style=\"margin-bottom: 0px;padding: 0px;vertical-align: baseline;background-color: transparent;color: windowtext\"><strong><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" xml:lang=\"EN-US\" data-contrast=\"auto\">Prerequisite<\/span><span style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" data-ccp-props=\"{}\">\u00a0<\/span><\/strong><\/p><\/div><div style=\"font-family: 'Segoe UI', 'Segoe UI Web', Arial, Verdana, sans-serif;font-size: 12px;margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr\"><div style=\"margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr\"><p style=\"margin-bottom: 0px;padding: 0px;vertical-align: baseline;background-color: transparent;color: windowtext\"><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" xml:lang=\"EN-US\" data-contrast=\"auto\">The basics of neural networks and Python\/MATLAB are needed.<\/span><span style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" data-ccp-props=\"{}\">\u00a0<\/span><\/p><p style=\"margin-bottom: 0px;padding: 0px;vertical-align: baseline;background-color: transparent;color: windowtext\"><span style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" data-ccp-props=\"{}\">\u00a0<\/span><\/p><\/div><div style=\"margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr\"><p style=\"margin-bottom: 0px;padding: 0px;vertical-align: baseline;background-color: transparent;color: windowtext\"><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" xml:lang=\"EN-US\" data-contrast=\"auto\">Re<span style=\"font-family: arial, helvetica, sans-serif\">ferences:<\/span><\/span><\/p><div style=\"margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr\"><ol><li style=\"vertical-align: baseline;background-color: transparent;color: windowtext\"><span style=\"font-family: arial, helvetica, sans-serif;font-size: 12pt\"><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;line-height: 20.5042px\" xml:lang=\"EN-US\" data-contrast=\"auto\">T.Q. Chen, Y.\u00a0<\/span><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;line-height: 20.5042px\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span style=\"margin: 0px;padding: 0px;background-position: left bottom;border-bottom: 1px solid transparent;background-color: inherit\">Rubanova<\/span><\/span><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;line-height: 20.5042px\" xml:lang=\"EN-US\" data-contrast=\"auto\">, J. Bettencourt, D.K.\u00a0<\/span><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;line-height: 20.5042px\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span style=\"margin: 0px;padding: 0px;background-position: left bottom;border-bottom: 1px solid transparent;background-color: inherit\">Duvenaud<\/span><\/span><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;line-height: 20.5042px\" xml:lang=\"EN-US\" data-contrast=\"auto\">,\u00a0<\/span><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;line-height: 20.5042px\" xml:lang=\"EN-US\" data-contrast=\"auto\">\u201c<\/span><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;line-height: 20.5042px\" xml:lang=\"EN-US\" data-contrast=\"auto\">Neural ordinary differential equations<\/span><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;line-height: 20.5042px\" xml:lang=\"EN-US\" data-contrast=\"auto\">.\u201d<\/span><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;line-height: 20.5042px\" xml:lang=\"EN-US\" data-contrast=\"auto\">\u00a0Advances in neural information processing systems, 2018.<\/span><span style=\"margin: 0px;padding: 0px;line-height: 20.5042px\" data-ccp-props=\"{}\">\u00a0<\/span><\/span><\/li><li style=\"vertical-align: baseline;background-color: transparent;color: windowtext\"><span style=\"font-family: arial, helvetica, sans-serif;font-size: 12pt\">W. Kang<span lang=\"EN-US\" style=\"background-color: transparent;color: windowtext;margin: 0px;padding: 0px;line-height: 20.5042px\" xml:lang=\"EN-US\" data-contrast=\"auto\">,\u00a0<\/span><span lang=\"EN-US\" style=\"background-color: transparent;color: windowtext;margin: 0px;padding: 0px;line-height: 20.5042px\" xml:lang=\"EN-US\" data-contrast=\"auto\">and Q. Gong<\/span><span lang=\"EN-US\" style=\"background-color: transparent;color: windowtext;margin: 0px;padding: 0px;line-height: 20.5042px\" xml:lang=\"EN-US\" data-contrast=\"auto\">,\u00a0<\/span><span lang=\"EN-US\" style=\"background-color: transparent;color: windowtext;margin: 0px;padding: 0px;line-height: 20.5042px\" xml:lang=\"EN-US\" data-contrast=\"auto\">\u201cNeural Network Approximations of Compositional Functions with Applications to Dynamical Systems.\u201d<\/span><span lang=\"EN-US\" style=\"background-color: transparent;color: windowtext;margin: 0px;padding: 0px;line-height: 20.5042px\" xml:lang=\"EN-US\" data-contrast=\"auto\">\u00a0<\/span><span lang=\"EN-US\" style=\"background-color: transparent;color: windowtext;margin: 0px;padding: 0px;line-height: 20.5042px\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span style=\"margin: 0px;padding: 0px;background-position: left bottom;border-bottom: 1px solid transparent;background-color: inherit\">arXiv<\/span><\/span><span lang=\"EN-US\" style=\"background-color: transparent;color: windowtext;margin: 0px;padding: 0px;line-height: 20.5042px\" xml:lang=\"EN-US\" data-contrast=\"auto\">\u00a0preprint,\u202f<\/span><a style=\"margin: 0px;padding: 0px;color: inherit\" href=\"https:\/\/arxiv.org\/abs\/2012.01698\" target=\"_blank\" rel=\"noreferrer noopener\"><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;line-height: 20.5042px\" xml:lang=\"EN-US\" data-contrast=\"auto\">arXiv:2012.01698<\/span><\/a><span lang=\"EN-US\" style=\"background-color: transparent;color: windowtext;margin: 0px;padding: 0px;line-height: 20.5042px\" xml:lang=\"EN-US\" data-contrast=\"auto\">, 2020.<\/span><\/span><\/li><\/ol><\/div><\/div><\/div><\/div><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-984bb8f ot-traditional elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"984bb8f\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-d1b2a06 ot-flex-column-vertical\" data-id=\"d1b2a06\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-063fde9 elementor-widget elementor-widget-spacer\" data-id=\"063fde9\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-16eea4f ot-traditional elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"16eea4f\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-9183ed8 ot-flex-column-vertical\" data-id=\"9183ed8\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-9c102a3 elementor-widget elementor-widget-heading\" data-id=\"9c102a3\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h5 class=\"elementor-heading-title elementor-size-default\">Robotic Behavior Learning From Human Demonstrations: Dr. Yongcan Cao<\/h5>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-12835bb elementor-widget elementor-widget-toggle\" data-id=\"12835bb\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"toggle.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-toggle\">\n\t\t\t\t\t\t\t<div class=\"elementor-toggle-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-1941\" class=\"elementor-tab-title\" data-tab=\"1\" role=\"button\" aria-controls=\"elementor-tab-content-1941\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon elementor-toggle-icon-left\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-closed\"><i class=\"fas fa-caret-right\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-opened\"><i class=\"elementor-toggle-icon-opened fas fa-caret-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-toggle-title\" tabindex=\"0\">View Project<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<div id=\"elementor-tab-content-1941\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"1\" role=\"region\" aria-labelledby=\"elementor-tab-title-1941\"><div style=\"margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr;color: #000000;font-family: 'Segoe UI', 'Segoe UI Web', Arial, Verdana, sans-serif;font-size: 12px\"><p style=\"margin-bottom: 0px;padding: 0px;vertical-align: baseline;background-color: transparent;color: windowtext\"><strong><span lang=\"EN\" style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" xml:lang=\"EN\" data-contrast=\"auto\">Project Description<\/span><span style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" data-ccp-props=\"{}\">\u00a0<\/span><\/strong><\/p><\/div><div style=\"margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr;color: #000000\"><p style=\"font-family: 'Segoe UI', 'Segoe UI Web', Arial, Verdana, sans-serif;font-size: 12px;margin-bottom: 0px;padding: 0px;vertical-align: baseline;background-color: transparent;color: windowtext\"><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" xml:lang=\"EN-US\" data-contrast=\"auto\">Learning complex behaviors is a challenging task for robots to demonstrate human-level performance in real-world environments. The objective of the project is to learn robotic behaviors through human guidance via learning from demonstrations. One important approach to enable robotic behavior learning is through inverse reinforcement learning, which is then followed by reinforcement learning. In particular, human demonstrations will be used to learn rewards, through inverse reinforcement learning, which can be used to generate control policies.<\/span><span style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" data-ccp-props=\"{}\">\u00a0<\/span><\/p><p style=\"font-family: 'Segoe UI', 'Segoe UI Web', Arial, Verdana, sans-serif;font-size: 12px;margin-bottom: 0px;padding: 0px;vertical-align: baseline;background-color: transparent;color: windowtext\"><span style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" data-ccp-props=\"{}\">\u00a0<\/span><\/p><div style=\"font-family: 'Segoe UI', 'Segoe UI Web', Arial, Verdana, sans-serif;font-size: 12px;margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr\"><p style=\"margin-bottom: 0px;padding: 0px;vertical-align: baseline;background-color: transparent;color: windowtext\"><strong><span lang=\"EN\" style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" xml:lang=\"EN\" data-contrast=\"auto\">Tasks<\/span><span style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: arial, helvetica, sans-serif\" data-ccp-props=\"{}\">\u00a0<\/span><\/strong><\/p><\/div><div style=\"margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr\"><ul style=\"font-family: 'Segoe UI', 'Segoe UI Web', Arial, Verdana, sans-serif;font-size: 12px\"><li><span style=\"font-family: arial, helvetica, sans-serif;font-size: 12pt\"><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;line-height: 20.5042px\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span style=\"background-color: inherit\"><span style=\"background-color: inherit\">Setting up simulation environments<\/span>\u00a0<\/span>\u202f<\/span> <\/span><\/li><li><span lang=\"EN-US\" style=\"background-blend-mode: normal;border-collapse: separate;border-spacing: 0px;border-radius: 0px;caption-side: top;clear: none;columns: auto auto;column-fill: balance;column-rule: 0px none #000000;column-span: none;cursor: text;direction: ltr;flex: 0 1 auto;flex-flow: row nowrap;float: none;font-family: WordVisi_MSFontService, Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif;font-size: 16px;grid-auto-columns: auto;grid-auto-rows: auto;grid-template-columns: none;grid-template-rows: none;height: auto;line-height: 20.5042px;margin: 0px;max-height: none;max-width: none;min-height: 0px;min-width: 0px;overflow: visible;padding: 0px;vertical-align: baseline;width: auto;border: 0px none #000000\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span style=\"background-color: inherit\">Generating human demonstrations<\/span><\/span><\/li><li><span lang=\"EN-US\" style=\"background-blend-mode: normal;border-collapse: separate;border-spacing: 0px;border-radius: 0px;caption-side: top;clear: none;columns: auto auto;column-fill: balance;column-rule: 0px none #000000;column-span: none;cursor: text;direction: ltr;flex: 0 1 auto;flex-flow: row nowrap;float: none;font-family: WordVisi_MSFontService, Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif;font-size: 16px;grid-auto-columns: auto;grid-auto-rows: auto;grid-template-columns: none;grid-template-rows: none;height: auto;line-height: 20.5042px;margin: 0px;max-height: none;max-width: none;min-height: 0px;min-width: 0px;overflow: visible;padding: 0px;vertical-align: baseline;width: auto;border: 0px none #000000\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span style=\"background-color: inherit\">Adapting and executing inverse reinforcement learning algorithms<\/span><\/span><\/li><li style=\"vertical-align: baseline;background-color: transparent;color: windowtext\"><span lang=\"EN-US\" style=\"background-blend-mode: normal;border-collapse: separate;border-spacing: 0px;border-radius: 0px;caption-side: top;clear: none;columns: auto auto;column-fill: balance;column-rule: 0px none #000000;column-span: none;cursor: text;direction: ltr;flex: 0 1 auto;flex-flow: row nowrap;float: none;font-family: WordVisi_MSFontService, Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif;font-size: 16px;grid-auto-columns: auto;grid-auto-rows: auto;grid-template-columns: none;grid-template-rows: none;height: auto;line-height: 20.5042px;margin: 0px;max-height: none;max-width: none;min-height: 0px;min-width: 0px;overflow: visible;padding: 0px;vertical-align: baseline;width: auto;border: 0px none #000000\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span style=\"background-color: inherit\">Adapting and executing reinforcement learning algorithms<\/span><\/span><\/li><li style=\"vertical-align: baseline;background-color: transparent;color: windowtext\"><span lang=\"EN-US\" style=\"background-blend-mode: normal;border-collapse: separate;border-spacing: 0px;border-radius: 0px;caption-side: top;clear: none;columns: auto auto;column-fill: balance;column-rule: 0px none #000000;column-span: none;cursor: text;direction: ltr;flex: 0 1 auto;flex-flow: row nowrap;float: none;font-family: arial, helvetica, sans-serif;font-size: 12pt;grid-auto-columns: auto;grid-auto-rows: auto;grid-template-columns: none;grid-template-rows: none;height: auto;line-height: 20.5042px;margin: 0px;max-height: none;max-width: none;min-height: 0px;min-width: 0px;overflow: visible;padding: 0px;vertical-align: baseline;border: 0px none #000000\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span style=\"background-color: inherit\">Statistical Analysis<\/span><\/span><\/li><\/ul><\/div><div style=\"font-family: 'Segoe UI', 'Segoe UI Web', Arial, Verdana, sans-serif;font-size: 12px;margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr\"><p style=\"margin-bottom: 0px;padding: 0px;vertical-align: baseline;background-color: transparent;color: windowtext\"><strong><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" xml:lang=\"EN-US\" data-contrast=\"auto\">Prerequisite<\/span><span style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" data-ccp-props=\"{}\">\u00a0<\/span><\/strong><\/p><\/div><div style=\"font-family: 'Segoe UI', 'Segoe UI Web', Arial, Verdana, sans-serif;font-size: 12px;margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr\"><div style=\"margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr\"><div style=\"margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr\"><ul><li style=\"vertical-align: baseline;background-color: transparent;color: windowtext\"><span style=\"font-size: 12pt;font-family: arial, helvetica, sans-serif\"><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;line-height: 20.5042px\" xml:lang=\"EN-US\" data-contrast=\"auto\">Strong background in programming, preferably in Python<\/span> <\/span><\/li><li style=\"vertical-align: baseline;background-color: transparent;color: windowtext\"><span style=\"font-size: 12pt;font-family: arial, helvetica, sans-serif\">Strong background in statistics and control systems <\/span><\/li><li style=\"vertical-align: baseline;background-color: transparent;color: windowtext\"><span style=\"font-size: 12pt;font-family: arial, helvetica, sans-serif\">Excellent communication skills <\/span><\/li><li style=\"vertical-align: baseline;background-color: transparent;color: windowtext\"><span style=\"font-size: 12pt;font-family: arial, helvetica, sans-serif\">Prior experience on machine learning and\/or robotics\u202f\u202f<span style=\"background-color: transparent;color: windowtext;margin: 0px;padding: 0px;line-height: 20.5042px\" data-ccp-props=\"{}\">\u00a0<\/span><\/span><\/li><\/ul><\/div><\/div><\/div><\/div><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-0df3784 ot-traditional elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"0df3784\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-e7d168c ot-flex-column-vertical\" data-id=\"e7d168c\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-c1eb1c5 elementor-widget elementor-widget-spacer\" data-id=\"c1eb1c5\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-cc76906 ot-traditional elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"cc76906\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-8966dc1 ot-flex-column-vertical\" data-id=\"8966dc1\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-68eef65 elementor-widget elementor-widget-heading\" data-id=\"68eef65\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h5 class=\"elementor-heading-title elementor-size-default\">Optimal Charging Strategy for AI-powered EVs:   Dr. Sara Ahmed<\/h5>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-1c1232e elementor-widget elementor-widget-toggle\" data-id=\"1c1232e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"toggle.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-toggle\">\n\t\t\t\t\t\t\t<div class=\"elementor-toggle-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-2941\" class=\"elementor-tab-title\" data-tab=\"1\" role=\"button\" aria-controls=\"elementor-tab-content-2941\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon elementor-toggle-icon-left\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-closed\"><i class=\"fas fa-caret-right\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-opened\"><i class=\"elementor-toggle-icon-opened fas fa-caret-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-toggle-title\" tabindex=\"0\">View Project<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<div id=\"elementor-tab-content-2941\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"1\" role=\"region\" aria-labelledby=\"elementor-tab-title-2941\"><div style=\"margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr;color: #000000;font-family: 'Segoe UI', 'Segoe UI Web', Arial, Verdana, sans-serif;font-size: 12px\"><p style=\"margin-bottom: 0px;padding: 0px;vertical-align: baseline;background-color: transparent;color: windowtext\"><strong><span lang=\"EN\" style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" xml:lang=\"EN\" data-contrast=\"auto\">Project Description<\/span><span style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" data-ccp-props=\"{}\">\u00a0<\/span><\/strong><\/p><\/div><div style=\"margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr;color: #000000\"><div style=\"margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr;font-family: 'Segoe UI', 'Segoe UI Web', Arial, Verdana, sans-serif;font-size: 12px\"><p style=\"margin-bottom: 0px;padding: 0px;vertical-align: baseline;background-color: transparent;color: windowtext\"><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" xml:lang=\"EN-US\" data-contrast=\"auto\">The number of Electric Vehicles (EV) has increased significantly in the past decades due to its advantages including emission reduction and improved energy efficiency. However, the adoption of EV could lead to overloading the grid and degrading the power quality of the distribution system. It also demands an increase in the number of EV charging stations. To meet the\u00a0<\/span><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span style=\"margin: 0px;padding: 0px;background-position: left bottom;border-bottom: 1px solid transparent;background-color: inherit\">charging<\/span><\/span><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" xml:lang=\"EN-US\" data-contrast=\"auto\">\u00a0needs of 15 million EVs by the year 2030 with limited charging stations, prediction of charging needs and reallocating charging resources are in emerging needs. Our group developed three modeling methods, multi-step LSTM, one-step LSTM, and ARIMA to predict charging loads with temporal profiles for 3 charging stations in two years on the campus of the University of Texas at San Antonio.<\/span><span style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" data-ccp-props=\"{}\">\u00a0<\/span><\/p><p style=\"margin-bottom: 0px;padding: 0px;vertical-align: baseline;background-color: transparent;color: windowtext\"><span style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" data-ccp-props=\"{}\">\u00a0<\/span><\/p><p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone  wp-image-195\" src=\"https:\/\/ceid.utsa.edu\/reu\/wp-content\/uploads\/sites\/110\/2021\/04\/Ahmedprojpic.png\" alt=\"\" width=\"242\" height=\"263\" srcset=\"https:\/\/ceid.utsa.edu\/reu\/wp-content\/uploads\/sites\/110\/2021\/04\/Ahmedprojpic.png 224w, https:\/\/ceid.utsa.edu\/reu\/wp-content\/uploads\/sites\/110\/2021\/04\/Ahmedprojpic-147x160.png 147w\" sizes=\"(max-width: 242px) 100vw, 242px\" \/><\/p><\/div><p style=\"font-family: 'Segoe UI', 'Segoe UI Web', Arial, Verdana, sans-serif;font-size: 12px;margin-bottom: 0px;padding: 0px;vertical-align: baseline;background-color: transparent;color: windowtext\"><span style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" data-ccp-props=\"{}\"><span lang=\"EN-US\" style=\"background-color: transparent;color: windowtext;margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px\" xml:lang=\"EN-US\" data-contrast=\"auto\">In the summer REU program, an undergraduate student will help validate our predeveloped prediction models by developing a simulation platform and a proof of concept prototype that includes emulated smart charging systems and mini-EV vehicle prototypes that would communicate together and host our proposed management system.\u00a0<\/span><span style=\"background-color: transparent;color: windowtext;margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px\" data-ccp-props=\"{}\">\u00a0<\/span>\u00a0<\/span><\/p><p style=\"font-family: 'Segoe UI', 'Segoe UI Web', Arial, Verdana, sans-serif;font-size: 12px;margin-bottom: 0px;padding: 0px;vertical-align: baseline;background-color: transparent;color: windowtext\"><span style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" data-ccp-props=\"{}\">\u00a0<\/span><\/p><div style=\"font-family: 'Segoe UI', 'Segoe UI Web', Arial, Verdana, sans-serif;font-size: 12px;margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr\"><p style=\"margin-bottom: 0px;padding: 0px;vertical-align: baseline;background-color: transparent;color: windowtext\"><strong><span lang=\"EN\" style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" xml:lang=\"EN\" data-contrast=\"auto\">Tasks<\/span><span style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: arial, helvetica, sans-serif\" data-ccp-props=\"{}\">\u00a0<\/span><\/strong><\/p><div style=\"margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr\"><ul><li style=\"vertical-align: baseline;background-color: transparent;color: windowtext\"><span style=\"font-family: arial, helvetica, sans-serif;font-size: 12pt\"><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;line-height: 20.5042px\" xml:lang=\"EN-US\" data-contrast=\"auto\">Learn the developed prediction models; (Weeks 1-2)<\/span> <\/span><\/li><li style=\"vertical-align: baseline;background-color: transparent;color: windowtext\"><span style=\"font-family: arial, helvetica, sans-serif;font-size: 12pt\">Prepare the proof-of-concept simulation\/prototype; (Weeks 2-3) <\/span><\/li><li style=\"vertical-align: baseline;background-color: transparent;color: windowtext\"><span style=\"font-family: arial, helvetica, sans-serif;font-size: 12pt\">Use part of UTSA geoinformation (roadmap) as our simulation platform with entry, traffic flow information, intersection of roads, etc.\u00a0 <\/span><\/li><li style=\"vertical-align: baseline;background-color: transparent;color: windowtext\"><span style=\"font-family: arial, helvetica, sans-serif;font-size: 12pt\">Define number of EVs in the simulated study <\/span><\/li><li style=\"vertical-align: baseline;background-color: transparent;color: windowtext\"><span style=\"font-family: arial, helvetica, sans-serif;font-size: 12pt\">Define number and location of the EV charging stations, current utility ratio, price charging\u00a0\u00a0 <\/span><\/li><li style=\"vertical-align: baseline;background-color: transparent;color: windowtext\"><span style=\"font-family: arial, helvetica, sans-serif;font-size: 12pt\">Develop an application that will input data to the cloud and provide the availability of the charging station; (Weeks 3-4) <\/span><\/li><li style=\"vertical-align: baseline;background-color: transparent;color: windowtext\"><span style=\"font-family: arial, helvetica, sans-serif;font-size: 12pt\">Demonstrate the proposed management system performance with computer simulations; (Weeks 4-6) <\/span><\/li><li style=\"vertical-align: baseline;background-color: transparent;color: windowtext\"><span style=\"font-family: arial, helvetica, sans-serif;font-size: 12pt\">Validate the system with the proof-of-concept prototype; (Weeks 6-9) <\/span><\/li><li style=\"vertical-align: baseline;background-color: transparent;color: windowtext\"><span style=\"font-family: arial, helvetica, sans-serif;font-size: 12pt\">Write weekly report, project progress, manuscript for paper submission, and REU final presentation; (Weeks 2-10)<span style=\"background-color: transparent;color: windowtext;margin: 0px;padding: 0px;line-height: 20.5042px\" data-ccp-props=\"{}\">\u00a0<\/span><\/span><\/li><\/ul><\/div><\/div><div style=\"font-family: 'Segoe UI', 'Segoe UI Web', Arial, Verdana, sans-serif;font-size: 12px;margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr\"><p style=\"margin-bottom: 0px;padding: 0px;vertical-align: baseline;background-color: transparent;color: windowtext\"><strong><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" xml:lang=\"EN-US\" data-contrast=\"auto\">Prerequisite<\/span><span style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" data-ccp-props=\"{}\">\u00a0<\/span><\/strong><\/p><\/div><div style=\"font-family: 'Segoe UI', 'Segoe UI Web', Arial, Verdana, sans-serif;font-size: 12px;margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr\"><div style=\"margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr\"><p style=\"margin-bottom: 0px;padding: 0px;vertical-align: baseline;background-color: transparent;color: windowtext\"><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" xml:lang=\"EN-US\" data-contrast=\"auto\">The basics of neural networks and Python\/MATLAB are needed. Experience with App development, hardware and software experience with Arduino and Raspberry Pi.<\/span><\/p><\/div><div style=\"margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr\"><div style=\"margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr\">\u00a0<\/div><\/div><\/div><\/div><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-bfd9b48 ot-traditional elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"bfd9b48\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-3c9b9be ot-flex-column-vertical\" data-id=\"3c9b9be\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-af73b05 elementor-widget elementor-widget-spacer\" data-id=\"af73b05\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-aa11cbb ot-traditional elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"aa11cbb\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-176bd1d ot-flex-column-vertical\" data-id=\"176bd1d\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-cc48b2e elementor-widget elementor-widget-heading\" data-id=\"cc48b2e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h5 class=\"elementor-heading-title elementor-size-default\">Understanding organically organized system functions and structures using artificial intelligence approaches:    Dr. Michelle Zhang<\/h5>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-43b981f elementor-widget elementor-widget-toggle\" data-id=\"43b981f\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"toggle.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-toggle\">\n\t\t\t\t\t\t\t<div class=\"elementor-toggle-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-7101\" class=\"elementor-tab-title\" data-tab=\"1\" role=\"button\" aria-controls=\"elementor-tab-content-7101\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon elementor-toggle-icon-left\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-closed\"><i class=\"fas fa-caret-right\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-opened\"><i class=\"elementor-toggle-icon-opened fas fa-caret-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-toggle-title\" tabindex=\"0\">View Project<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<div id=\"elementor-tab-content-7101\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"1\" role=\"region\" aria-labelledby=\"elementor-tab-title-7101\"><div style=\"margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr;color: #000000;font-family: 'Segoe UI', 'Segoe UI Web', Arial, Verdana, sans-serif;font-size: 12px\"><p style=\"margin-bottom: 0px;padding: 0px;vertical-align: baseline;background-color: transparent;color: windowtext\"><strong><span lang=\"EN\" style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" xml:lang=\"EN\" data-contrast=\"auto\">Project Description<\/span><span style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" data-ccp-props=\"{}\">\u00a0<\/span><\/strong><\/p><\/div><div style=\"margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr;color: #000000\"><p style=\"font-family: 'Segoe UI', 'Segoe UI Web', Arial, Verdana, sans-serif;font-size: 12px;margin-bottom: 0px;padding: 0px;vertical-align: baseline;background-color: transparent;color: windowtext\"><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" xml:lang=\"EN-US\" data-contrast=\"auto\">Currently, most systems are assumed to have a causal system structure that isolate a set of factors that can be treated as \u201ccauses\u201d and the rest as \u201ceffects\u201d so that various phenomena can be interpreted [1], and inferences can be made for the effective intervention of such systems. However, such an approach often fails in practice because in reality, most dynamic systems are organized organically in which, parts are mutually\u00a0<\/span><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span style=\"margin: 0px;padding: 0px;background-position: left bottom;border-bottom: 1px solid transparent;background-color: inherit\">casual [<\/span><\/span><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" xml:lang=\"EN-US\" data-contrast=\"auto\">2]. For example, within the human body, if we take the view that the heart is the root organ and it affects the lung but not vice versa, then it\u2019s treated as a causally organized system. However, if we take the view that all major organs are affecting each other mutually, then it\u2019s an organically organized system. There lacks development of theories and approaches for inferring components and functions of such systems. The significance of the development is immense because virtually all medically related data inferencing problems should be modeled in the proposed approach.\u00a0<\/span><\/p><p style=\"font-family: 'Segoe UI', 'Segoe UI Web', Arial, Verdana, sans-serif;font-size: 12px;margin-bottom: 0px;padding: 0px;vertical-align: baseline;background-color: transparent;color: windowtext\"><span style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" data-ccp-props=\"{}\">\u00a0<\/span><\/p><div style=\"font-family: 'Segoe UI', 'Segoe UI Web', Arial, Verdana, sans-serif;font-size: 12px;margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr\"><p style=\"margin-bottom: 0px;padding: 0px;vertical-align: baseline;background-color: transparent;color: windowtext\"><strong><span lang=\"EN\" style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" xml:lang=\"EN\" data-contrast=\"auto\">Tasks<\/span><span style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: arial, helvetica, sans-serif\" data-ccp-props=\"{}\">\u00a0<\/span><\/strong><\/p><div style=\"margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr\"><ul><li style=\"vertical-align: baseline;background-color: transparent;color: windowtext\"><span style=\"font-family: arial, helvetica, sans-serif;font-size: 12pt\"><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;line-height: 20.5042px\" xml:lang=\"EN-US\" data-contrast=\"auto\">Learn the basic concept of organically organized networks and develop simulated models of such networks using\u00a0<\/span><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;line-height: 20.5042px\" xml:lang=\"EN-US\" data-contrast=\"auto\">Matlab<\/span><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;line-height: 20.5042px\" xml:lang=\"EN-US\" data-contrast=\"auto\">; (Weeks 1-2)<\/span> <\/span><\/li><li style=\"vertical-align: baseline;background-color: transparent;color: windowtext\"><span style=\"font-family: arial, helvetica, sans-serif;font-size: 12pt\">Learn the basic concept of deep learning algorithm in Python and\u00a0<span lang=\"EN-US\" style=\"background-color: transparent;color: windowtext;margin: 0px;padding: 0px;line-height: 20.5042px\" xml:lang=\"EN-US\" data-contrast=\"auto\">Matlab<\/span><span lang=\"EN-US\" style=\"background-color: transparent;color: windowtext;margin: 0px;padding: 0px;line-height: 20.5042px\" xml:lang=\"EN-US\" data-contrast=\"auto\">; (Weeks 2-3)<\/span> <\/span><\/li><li style=\"vertical-align: baseline;background-color: transparent;color: windowtext\"><span style=\"font-family: arial, helvetica, sans-serif;font-size: 12pt\">Apply the existing algorithm to train the deep learning model with the simulated data; (Weeks 3-5) <\/span><\/li><li style=\"vertical-align: baseline;background-color: transparent;color: windowtext\"><span style=\"font-family: arial, helvetica, sans-serif;font-size: 12pt\">Apply the model for making inference of the learned model interpretation; (Weeks 6-9) <\/span><\/li><li style=\"vertical-align: baseline;background-color: transparent;color: windowtext\"><span style=\"font-family: arial, helvetica, sans-serif;font-size: 12pt\">Write weekly report, project progress, manuscript for paper submission, and REU final presentation; (Weeks 2-10)<span style=\"background-color: transparent;color: windowtext;margin: 0px;padding: 0px;line-height: 20.5042px\" data-ccp-props=\"{}\">\u00a0<\/span><\/span><\/li><\/ul><\/div><\/div><div style=\"font-family: 'Segoe UI', 'Segoe UI Web', Arial, Verdana, sans-serif;font-size: 12px;margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr\"><p style=\"margin-bottom: 0px;padding: 0px;vertical-align: baseline;background-color: transparent;color: windowtext\"><strong><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" xml:lang=\"EN-US\" data-contrast=\"auto\">Prerequisite<\/span><span style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" data-ccp-props=\"{}\">\u00a0<\/span><\/strong><\/p><\/div><div style=\"font-family: 'Segoe UI', 'Segoe UI Web', Arial, Verdana, sans-serif;font-size: 12px;margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr\"><div style=\"margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr\"><p style=\"margin-bottom: 0px;padding: 0px;vertical-align: baseline;background-color: transparent;color: windowtext\"><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" xml:lang=\"EN-US\" data-contrast=\"auto\">The basics of neural networks and Python\/MATLAB are needed.<\/span><span style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" data-ccp-props=\"{}\">\u00a0<\/span><\/p><p style=\"margin-bottom: 0px;padding: 0px;vertical-align: baseline;background-color: transparent;color: windowtext\"><span style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" data-ccp-props=\"{}\">\u00a0<\/span><\/p><\/div><div style=\"margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr\"><p style=\"margin-bottom: 0px;padding: 0px;vertical-align: baseline;background-color: transparent;color: windowtext\"><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" xml:lang=\"EN-US\" data-contrast=\"auto\">Re<span style=\"font-family: arial, helvetica, sans-serif\">ferences:<\/span><\/span><\/p><div style=\"margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr\"><ol><li style=\"vertical-align: baseline;background-color: transparent;color: windowtext\"><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" xml:lang=\"EN-US\" data-contrast=\"auto\">Pearl, Judea. &#8220;Causal inference.&#8221;\u202f<\/span><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" xml:lang=\"EN-US\" data-contrast=\"auto\">Causality: Objectives and Assessment<\/span><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" xml:lang=\"EN-US\" data-contrast=\"auto\">\u202f(2010): 39-58.<\/span><\/li><li style=\"vertical-align: baseline;background-color: transparent;color: windowtext\"><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" xml:lang=\"EN-US\" data-contrast=\"auto\">Hegel, G. W. F. (1929). Hegel&#8217;s science of logic.\u00a0 <\/span><span style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" data-ccp-props=\"{}\">\u00a0\u00a0<\/span><\/li><\/ol><\/div><\/div><\/div><\/div><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-3af097a ot-traditional elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"3af097a\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-1543a2a ot-flex-column-vertical\" data-id=\"1543a2a\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-9939616 elementor-widget elementor-widget-spacer\" data-id=\"9939616\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-c22eff5 ot-traditional elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"c22eff5\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-83be18b ot-flex-column-vertical\" data-id=\"83be18b\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-baf799f elementor-widget elementor-widget-heading\" data-id=\"baf799f\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h5 class=\"elementor-heading-title elementor-size-default\">Integrating on-road data for driving-safety:    Dr. Miltos Alamaniotis<\/h5>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-e06d9b4 elementor-widget elementor-widget-toggle\" data-id=\"e06d9b4\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"toggle.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-toggle\">\n\t\t\t\t\t\t\t<div class=\"elementor-toggle-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-2351\" class=\"elementor-tab-title\" data-tab=\"1\" role=\"button\" aria-controls=\"elementor-tab-content-2351\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon elementor-toggle-icon-left\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-closed\"><i class=\"fas fa-caret-right\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-opened\"><i class=\"elementor-toggle-icon-opened fas fa-caret-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-toggle-title\" tabindex=\"0\">View Project<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<div id=\"elementor-tab-content-2351\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"1\" role=\"region\" aria-labelledby=\"elementor-tab-title-2351\"><div style=\"margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr;color: #000000;font-family: 'Segoe UI', 'Segoe UI Web', Arial, Verdana, sans-serif;font-size: 12px\"><p style=\"margin-bottom: 0px;padding: 0px;vertical-align: baseline;background-color: transparent;color: windowtext\"><strong><span lang=\"EN-US\" style=\"background-color: transparent;color: windowtext;margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" xml:lang=\"EN-US\" data-contrast=\"auto\">Project description<\/span><span style=\"background-color: transparent;color: windowtext;margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" data-ccp-props=\"{}\">\u00a0<\/span><\/strong><\/p><\/div><div style=\"margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr;color: #000000;font-family: 'Segoe UI', 'Segoe UI Web', Arial, Verdana, sans-serif;font-size: 12px\"><p style=\"margin-bottom: 0px;padding: 0px;vertical-align: baseline;background-color: transparent;color: windowtext\"><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" xml:lang=\"EN-US\" data-contrast=\"auto\">On the main features that most of the autonomous cars share is modern systems for the avoidance of collisions. Though systems have greatly improved in that direction, the majority of avoidance collision systems focus on car-to-car crashes neglecting the car-to-animal collision. The objective of this project is to develop a system that predicts the behavior of animals on the fly. In that direction, deep learning with image processing will be utilized to integrate data taken from car sensors on the road. The Applied Artificial Intelligence Laboratory (directed by Dr.\u00a0<\/span><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span style=\"margin: 0px;padding: 0px;background-position: left bottom;border-bottom: 1px solid transparent;background-color: inherit\">Alamaniotis<\/span><\/span><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" xml:lang=\"EN-US\" data-contrast=\"auto\">) has novel datasets that will be used in the project. The student will have to utilize the datasets and develop the deep learning tool.<\/span><span style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" data-ccp-props=\"{}\">\u00a0<\/span><\/p><p style=\"margin-bottom: 0px;padding: 0px;vertical-align: baseline;background-color: transparent;color: windowtext\"><span style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" data-ccp-props=\"{}\">\u00a0<\/span><\/p><p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-182\" src=\"https:\/\/ceid.utsa.edu\/reu\/wp-content\/uploads\/sites\/110\/2021\/04\/Alamaniotisprojpic.png\" alt=\"\" width=\"706\" height=\"167\" srcset=\"https:\/\/ceid.utsa.edu\/reu\/wp-content\/uploads\/sites\/110\/2021\/04\/Alamaniotisprojpic.png 975w, https:\/\/ceid.utsa.edu\/reu\/wp-content\/uploads\/sites\/110\/2021\/04\/Alamaniotisprojpic-300x71.png 300w, https:\/\/ceid.utsa.edu\/reu\/wp-content\/uploads\/sites\/110\/2021\/04\/Alamaniotisprojpic-768x181.png 768w, https:\/\/ceid.utsa.edu\/reu\/wp-content\/uploads\/sites\/110\/2021\/04\/Alamaniotisprojpic-160x38.png 160w, https:\/\/ceid.utsa.edu\/reu\/wp-content\/uploads\/sites\/110\/2021\/04\/Alamaniotisprojpic-720x170.png 720w\" sizes=\"(max-width: 706px) 100vw, 706px\" \/><\/p><div style=\"margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr\"><p style=\"margin-bottom: 0px;padding: 0px;vertical-align: baseline;background-color: transparent;color: windowtext\"><strong><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" xml:lang=\"EN-US\" data-contrast=\"auto\">T<span style=\"font-family: arial, helvetica, sans-serif\">asks\u00a0<\/span><\/span><span style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: arial, helvetica, sans-serif\" data-ccp-props=\"{}\">\u00a0<\/span><\/strong><\/p><\/div><div style=\"margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr\"><ul><li style=\"vertical-align: baseline;background-color: transparent;color: windowtext\"><span style=\"font-family: arial, helvetica, sans-serif;font-size: 12pt\"><span lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\">Data preparation (select datasets and create training and testing datasets)<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/span><\/li><li style=\"vertical-align: baseline;background-color: transparent;color: windowtext\"><span style=\"font-family: arial, helvetica, sans-serif;font-size: 12pt\"><span lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\">Develop\u00a0<\/span><span lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\">of\u00a0<\/span><span lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\">a deep network architecture<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/span><\/li><li style=\"vertical-align: baseline;background-color: transparent;color: windowtext\"><span style=\"font-family: arial, helvetica, sans-serif;font-size: 12pt\"><span lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\">Compare with a simple network (<\/span><span lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\">non deep<\/span><span lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\">)<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/span><\/li><li style=\"vertical-align: baseline;background-color: transparent;color: windowtext\"><span style=\"font-family: arial, helvetica, sans-serif;font-size: 12pt\"><span lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\">Validation of the tool<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/span><\/li><li style=\"vertical-align: baseline;background-color: transparent;color: windowtext\"><span style=\"font-family: arial, helvetica, sans-serif;font-size: 12pt\"><span lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\">Write Report<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/span><\/li><\/ul><\/div><div style=\"margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr\"><p style=\"margin-bottom: 0px;padding: 0px;vertical-align: baseline;background-color: transparent;color: windowtext\"><span style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" data-ccp-props=\"{}\"><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px\" xml:lang=\"EN-US\" data-contrast=\"auto\">The student will have weekly meeting with the mentor (Dr.\u00a0<\/span><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span style=\"margin: 0px;padding: 0px;background-position: left bottom;border-bottom: 1px solid transparent;background-color: inherit\">Alamaniotis<\/span><\/span><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px\" xml:lang=\"EN-US\" data-contrast=\"auto\">) and will collaborate with grad students from the Applied Artificial Intelligence Laboratory.<\/span><span style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px\" data-ccp-props=\"{}\">\u00a0<\/span>\u00a0<\/span><\/p><p style=\"margin-bottom: 0px;padding: 0px;vertical-align: baseline;background-color: transparent;color: windowtext\"><span style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" data-ccp-props=\"{}\">\u00a0<\/span><\/p><div style=\"margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr\"><p style=\"margin-bottom: 0px;padding: 0px;vertical-align: baseline;background-color: transparent;color: windowtext\"><strong><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" xml:lang=\"EN-US\" data-contrast=\"auto\">Prerequisite<\/span><span style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" data-ccp-props=\"{}\">\u00a0<\/span><\/strong><\/p><\/div><div style=\"margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr\"><ul><li><span style=\"font-family: arial, helvetica, sans-serif;font-size: 12pt\"> Strong background in programming, preferably in Python\/Matlab<\/span><\/li><li><span style=\"font-family: arial, helvetica, sans-serif;font-size: 12pt\" data-contrast=\"auto\"> Knowledge of basic probabilities and statistical concepts<\/span><\/li><\/ul><\/div><div style=\"margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr\"><p style=\"margin-bottom: 0px;padding: 0px;vertical-align: baseline;background-color: transparent;color: windowtext\"><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" xml:lang=\"EN-US\" data-contrast=\"auto\">References:\u00a0<\/span><span style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" data-ccp-props=\"{}\">\u00a0<\/span><\/p><\/div><div style=\"margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr\"><ol><li><span style=\"font-family: arial, helvetica, sans-serif;font-size: 12pt\">Munian, Y., Martinez-Molina, A., &amp;\u00a0Alamaniotis, M., \u201cA Design and Implementation of a Nocturnal Animal Detection Intelligent System in Transportation Applications,\u201d\u202fASCE International Conference on Transportation &amp; Development, June 6-9, 2021, Virtual Conference, pp. 12.\u00a0<\/span><\/li><li><span style=\"font-family: arial, helvetica, sans-serif;font-size: 12pt\">Munian, Y.,\u00a0Alamaniotis, M., Martinez-Molina, A., \u201cIntelligent System for Detection of Wild Animals Using HOG and CNN in Automobile Applications,\u201d\u202f9th\u202fInternational Conference on Information, Systems and Applications\u202f(IISA), Piraeus, Greece, July 2020, pp. 8.\u202f\u00a0<\/span><\/li><\/ol><\/div><\/div><\/div><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-41d7eb6 ot-traditional elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"41d7eb6\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-e0b5a71 ot-flex-column-vertical\" data-id=\"e0b5a71\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-8843ec5 elementor-widget elementor-widget-spacer\" data-id=\"8843ec5\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-40ee4b8 ot-traditional elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"40ee4b8\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-a119df9 ot-flex-column-vertical\" data-id=\"a119df9\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-6635aaf elementor-widget elementor-widget-heading\" data-id=\"6635aaf\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h5 class=\"elementor-heading-title elementor-size-default\">Building Deep Learning Models that Understand Biology: Dr. Yufei Huang<\/h5>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-868b777 elementor-widget elementor-widget-toggle\" data-id=\"868b777\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"toggle.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-toggle\">\n\t\t\t\t\t\t\t<div class=\"elementor-toggle-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-1411\" class=\"elementor-tab-title\" data-tab=\"1\" role=\"button\" aria-controls=\"elementor-tab-content-1411\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon elementor-toggle-icon-left\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-closed\"><i class=\"fas fa-caret-right\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-opened\"><i class=\"elementor-toggle-icon-opened fas fa-caret-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-toggle-title\" tabindex=\"0\">View Project<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<div id=\"elementor-tab-content-1411\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"1\" role=\"region\" aria-labelledby=\"elementor-tab-title-1411\"><div style=\"margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr;color: #000000;font-family: 'Segoe UI', 'Segoe UI Web', Arial, Verdana, sans-serif;font-size: 12px\">\n<p style=\"margin-bottom: 0px;padding: 0px;vertical-align: baseline;background-color: transparent;color: windowtext\"><strong><span lang=\"EN-US\" style=\"background-color: transparent;color: windowtext;margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" xml:lang=\"EN-US\" data-contrast=\"auto\">Project description<\/span><span style=\"background-color: transparent;color: windowtext;margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" data-ccp-props=\"{}\">&nbsp;<\/span><\/strong><\/p>\n<\/div>\n<div style=\"margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr;color: #000000\">\n<p style=\"font-family: 'Segoe UI', 'Segoe UI Web', Arial, Verdana, sans-serif;font-size: 12px;margin-bottom: 0px;padding: 0px;vertical-align: baseline;background-color: transparent;color: windowtext\"><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 19.425px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" xml:lang=\"EN-US\" data-contrast=\"auto\">The ever-growing genomics data from omics profiling and single-cell technologies have spurred rapid developments of deep learning (DL) methods for genomics data analysis.<\/span><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 19.425px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" xml:lang=\"EN-US\" data-contrast=\"auto\">&nbsp;<\/span><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 19.425px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" xml:lang=\"EN-US\" data-contrast=\"auto\">While producing accurate prediction is a critical objective, the next generation omics analysis tools call for XDL models capable of explaining how and why the predictions are mad<\/span><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 19.425px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" xml:lang=\"EN-US\" data-contrast=\"auto\">e. In this project, we will investigate and develop XDL approaches for&nbsp;<\/span><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 19.425px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" xml:lang=\"EN-US\" data-contrast=\"auto\">gene&nbsp;<\/span><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 19.425px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span style=\"margin: 0px;padding: 0px;background-position: left bottom;border-bottom: 1px solid transparent;background-color: inherit\">expression&nbsp;<\/span><\/span><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 19.425px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span style=\"margin: 0px;padding: 0px;background-position: left bottom;border-bottom: 1px solid transparent;background-color: inherit\">based<\/span><\/span><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 19.425px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" xml:lang=\"EN-US\" data-contrast=\"auto\">&nbsp;predictions that can&nbsp;<\/span><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 19.425px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" xml:lang=\"EN-US\" data-contrast=\"auto\">model functional interactions and inform underlying biological functions<\/span><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 19.425px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" xml:lang=\"EN-US\" data-contrast=\"auto\">.<\/span><span style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 19.425px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" data-ccp-props=\"{}\">&nbsp;<\/span><\/p>\n<p style=\"font-family: 'Segoe UI', 'Segoe UI Web', Arial, Verdana, sans-serif;font-size: 12px\">\n<\/p><div style=\"font-family: 'Segoe UI', 'Segoe UI Web', Arial, Verdana, sans-serif;font-size: 12px;margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr\">\n<p style=\"margin-bottom: 0px;padding: 0px;vertical-align: baseline;background-color: transparent;color: windowtext\"><strong><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" xml:lang=\"EN-US\" data-contrast=\"auto\">T<span style=\"font-family: arial, helvetica, sans-serif\">asks&nbsp;<\/span><\/span><span style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: arial, helvetica, sans-serif\" data-ccp-props=\"{}\">&nbsp;<\/span><\/strong><\/p>\n<\/div>\n<div style=\"font-family: 'Segoe UI', 'Segoe UI Web', Arial, Verdana, sans-serif;font-size: 12px;margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr\">\n<ul>\n<li style=\"vertical-align: baseline;background-color: transparent;color: windowtext\"><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 19.425px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" xml:lang=\"EN-US\" data-contrast=\"auto\">Building DL models for gene&nbsp;<\/span><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 19.425px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span style=\"margin: 0px;padding: 0px;background-position: left bottom;border-bottom: 1px solid transparent;background-color: inherit\">expression based<\/span><\/span><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 19.425px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" xml:lang=\"EN-US\" data-contrast=\"auto\">&nbsp;prediction of cell types, cancer stage, and drug response<\/span><\/li>\n<li style=\"vertical-align: baseline;background-color: transparent;color: windowtext\"><span lang=\"EN-US\" style=\"background-blend-mode: normal;border-collapse: separate;border-spacing: 0px;border-radius: 0px;caption-side: top;clear: none;columns: auto auto;column-fill: balance;column-rule: 0px none #000000;column-span: none;cursor: text;direction: ltr;flex: 0 1 auto;flex-flow: row nowrap;float: none;font-family: WordVisi_MSFontService, Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif;font-size: 16px;grid-auto-columns: auto;grid-auto-rows: auto;grid-template-columns: none;grid-template-rows: none;height: auto;line-height: 19.425px;margin: 0px;max-height: none;max-width: none;min-height: 0px;min-width: 0px;overflow: visible;padding: 0px;vertical-align: baseline;width: auto;border: 0px none #000000\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span style=\"background-color: inherit\">Learning and experimenting different XDL approaches<\/span><\/span><\/li>\n<li style=\"vertical-align: baseline;background-color: transparent;color: windowtext\"><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 19.425px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" xml:lang=\"EN-US\" data-contrast=\"auto\">Developing XDL for gene expression based predictions.<\/span><\/li>\n<li style=\"vertical-align: baseline;background-color: transparent;color: windowtext\"><span lang=\"EN-US\" style=\"font-family: arial, helvetica, sans-serif;font-size: 12pt;background-color: transparent;color: windowtext\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span style=\"background-color: inherit\">Analyze the results and making improvements.&nbsp;<\/span>Write Report<\/span><span style=\"font-family: arial, helvetica, sans-serif;font-size: 12pt;background-color: transparent;color: windowtext\" data-ccp-props=\"{}\">&nbsp;<\/span><\/li>\n<\/ul>\n<\/div>\n<div style=\"margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr\">\n<div style=\"font-family: 'Segoe UI', 'Segoe UI Web', Arial, Verdana, sans-serif;font-size: 12px;margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr\">\n<p style=\"margin-bottom: 0px;padding: 0px;vertical-align: baseline;background-color: transparent;color: windowtext\"><strong><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" xml:lang=\"EN-US\" data-contrast=\"auto\">Prerequisite<\/span><span style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" data-ccp-props=\"{}\">&nbsp;<\/span><\/strong><\/p>\n<\/div>\n<div style=\"margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr\">\n<ul style=\"font-family: 'Segoe UI', 'Segoe UI Web', Arial, Verdana, sans-serif;font-size: 12px\">\n<li><span style=\"font-family: arial, helvetica, sans-serif;font-size: 12pt\"> Strong background in programming, preferably in Python<\/span><\/li>\n<li><span class=\"TextRun BCX8 SCXW94950232\" lang=\"EN-US\" style=\"background-blend-mode: normal;border-collapse: separate;border-spacing: 0px;border-radius: 0px;caption-side: top;clear: none;columns: auto auto;column-fill: balance;column-rule: 0px none #000000;column-span: none;cursor: text;direction: ltr;flex: 0 1 auto;flex-flow: row nowrap;float: none;font-family: WordVisi_MSFontService, Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif;font-size: 16px;grid-auto-columns: auto;grid-auto-rows: auto;grid-template-columns: none;grid-template-rows: none;height: auto;line-height: 19.425px;margin: 0px;max-height: none;max-width: none;min-height: 0px;min-width: 0px;overflow: visible;padding: 0px;vertical-align: baseline;width: auto;border: 0px none #000000\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun BCX8 SCXW94950232\" style=\"background-color: inherit\">Strong background in statistics<\/span><\/span><\/li>\n<li><span class=\"TextRun BCX8 SCXW94950232\" lang=\"EN-US\" style=\"background-blend-mode: normal;border-collapse: separate;border-spacing: 0px;border-radius: 0px;caption-side: top;clear: none;columns: auto auto;column-fill: balance;column-rule: 0px none #000000;column-span: none;cursor: text;direction: ltr;flex: 0 1 auto;flex-flow: row nowrap;float: none;font-family: WordVisi_MSFontService, Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif;font-size: 16px;grid-auto-columns: auto;grid-auto-rows: auto;grid-template-columns: none;grid-template-rows: none;height: auto;line-height: 19.425px;margin: 0px;max-height: none;max-width: none;min-height: 0px;min-width: 0px;overflow: visible;padding: 0px;vertical-align: baseline;width: auto;border: 0px none #000000\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun BCX8 SCXW94950232\" style=\"background-color: inherit\"><span class=\"NormalTextRun BCX8 SCXW210373477\" style=\"background-color: inherit\">Excellent communication skills<\/span><br><\/span><\/span><\/li>\n<li><span class=\"TextRun BCX8 SCXW94950232\" lang=\"EN-US\" style=\"background-blend-mode: normal;border-collapse: separate;border-spacing: 0px;border-radius: 0px;caption-side: top;clear: none;columns: auto auto;column-fill: balance;column-rule: 0px none #000000;column-span: none;cursor: text;direction: ltr;flex: 0 1 auto;flex-flow: row nowrap;float: none;font-family: WordVisi_MSFontService, Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif;font-size: 16px;grid-auto-columns: auto;grid-auto-rows: auto;grid-template-columns: none;grid-template-rows: none;height: auto;line-height: 19.425px;margin: 0px;max-height: none;max-width: none;min-height: 0px;min-width: 0px;overflow: visible;padding: 0px;vertical-align: baseline;width: auto;border: 0px none #000000\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun BCX8 SCXW94950232\" style=\"background-color: inherit\"><span class=\"NormalTextRun BCX8 SCXW210373477\" style=\"background-color: inherit\"><span class=\"NormalTextRun SCXW255711515 BCX8\" style=\"margin: 0px;padding: 0px;background-color: inherit\">Prior experience on machine learning&nbsp;<\/span><span class=\"TextRun SCXW255711515 BCX8\" lang=\"EN-US\" style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 19.425px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span class=\"NormalTextRun SCXW255711515 BCX8\" style=\"margin: 0px;padding: 0px;background-color: inherit\">will be preferred<\/span><\/span><\/span><\/span><\/span><\/li><\/ul><\/div>\n<\/div>\n<\/div><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-da7cd04 ot-traditional elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"da7cd04\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-9025570 ot-flex-column-vertical\" data-id=\"9025570\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-4650fa1 elementor-widget elementor-widget-spacer\" data-id=\"4650fa1\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-074d7e5 ot-traditional elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"074d7e5\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-309c679 ot-flex-column-vertical\" data-id=\"309c679\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-1217d24 elementor-widget elementor-widget-heading\" data-id=\"1217d24\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h5 class=\"elementor-heading-title elementor-size-default\">Data-Driven Strategies for Largescale Cooperative Control:   Dr. Claire Walton<\/h5>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-64b8e28 elementor-widget elementor-widget-toggle\" data-id=\"64b8e28\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"toggle.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-toggle\">\n\t\t\t\t\t\t\t<div class=\"elementor-toggle-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-1051\" class=\"elementor-tab-title\" data-tab=\"1\" role=\"button\" aria-controls=\"elementor-tab-content-1051\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon elementor-toggle-icon-left\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-closed\"><i class=\"fas fa-caret-right\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-opened\"><i class=\"elementor-toggle-icon-opened fas fa-caret-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-toggle-title\" tabindex=\"0\">View Project<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<div id=\"elementor-tab-content-1051\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"1\" role=\"region\" aria-labelledby=\"elementor-tab-title-1051\"><div style=\"margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr;color: #000000;font-family: 'Segoe UI', 'Segoe UI Web', Arial, Verdana, sans-serif;font-size: 12px\"><p style=\"margin-bottom: 0px;padding: 0px;vertical-align: baseline;background-color: transparent;color: windowtext\"><strong><span lang=\"EN-US\" style=\"background-color: transparent;color: windowtext;margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" xml:lang=\"EN-US\" data-contrast=\"auto\">Project description<\/span><span style=\"background-color: transparent;color: windowtext;margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" data-ccp-props=\"{}\">\u00a0<\/span><\/strong><\/p><\/div><div style=\"margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr;color: #000000;font-family: 'Segoe UI', 'Segoe UI Web', Arial, Verdana, sans-serif;font-size: 12px\"><p style=\"margin-bottom: 0px;padding: 0px;vertical-align: baseline;background-color: transparent;color: windowtext\"><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 19.425px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" xml:lang=\"EN-US\" data-contrast=\"auto\">As autonomous vehicle platforms become more scalable in size and cost, largescale (&gt;100) cooperative efforts have become more feasible. Largescale multi-agent systems have potential applications in telecommunications, search and rescue, package delivery, and autonomous driving. Designing scalable algorithms for collision avoidance and cooperative task completion remains a challenging problem.<\/span><span style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 19.425px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" data-ccp-props=\"{}\">\u00a0<\/span><\/p><p style=\"margin-bottom: 0px;padding: 0px;vertical-align: baseline;background-color: transparent;color: windowtext\"><span lang=\"EN-US\" style=\"background-color: transparent;color: windowtext;margin: 0px;padding: 0px;font-size: 12pt;line-height: 19.425px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" xml:lang=\"EN-US\" data-contrast=\"auto\">\u00a0<\/span><\/p><p style=\"margin-bottom: 0px;padding: 0px;vertical-align: baseline;background-color: transparent;color: windowtext\"><span lang=\"EN-US\" style=\"background-color: transparent;color: windowtext;margin: 0px;padding: 0px;font-size: 12pt;line-height: 19.425px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" xml:lang=\"EN-US\" data-contrast=\"auto\">There are two inter-related objectives of this project. The first objective is to study the implementation of existing multi-agent algorithms, such as those in [1], [2], [3] on vehicles with dynamic constraints and nonlinear dynamics. We will implement these in a simulation testbed and examine whether the stability properties of the algorithms persist. The second objective is to consider the improvement of these models, especially for nonlinear vehicle dynamics, through substituting some of their response rules with trainable neural network inserts. Training will be done on a set of formation objectives (aligning as a group to goal formations\/reference trajectories) and training data will be generated through simulation.<\/span><span style=\"background-color: transparent;color: windowtext;margin: 0px;padding: 0px;font-size: 12pt;line-height: 19.425px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" data-ccp-props=\"{}\">\u00a0<\/span><\/p><p>\u00a0<\/p><div style=\"margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr\"><p style=\"margin-bottom: 0px;padding: 0px;vertical-align: baseline;background-color: transparent;color: windowtext\"><strong><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" xml:lang=\"EN-US\" data-contrast=\"auto\">T<span style=\"font-family: arial, helvetica, sans-serif\">asks\u00a0<\/span><\/span><span style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: arial, helvetica, sans-serif\" data-ccp-props=\"{}\">\u00a0<\/span><\/strong><\/p><\/div><div style=\"margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr\"><ul><li style=\"vertical-align: baseline;background-color: transparent;color: windowtext\"><span style=\"font-family: arial, helvetica, sans-serif;font-size: 12pt\"><span data-ccp-props=\"{}\"><span style=\"margin: 0px;padding: 0px;background-color: inherit\">Set up virtual simulation environment with either MATLAB or Python<\/span><span style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 19.425px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" data-ccp-props=\"{}\">\u00a0<\/span>\u00a0<\/span><\/span><\/li><li style=\"vertical-align: baseline;background-color: transparent;color: windowtext\"><span style=\"font-family: arial, helvetica, sans-serif;font-size: 12pt\"><span data-ccp-props=\"{}\"><span style=\"margin: 0px;padding: 0px;background-color: inherit\">Demonstrate behavior of at least 1 flocking algorithm on a swarm with nonlinear dynamics<\/span><span style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 19.425px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" data-ccp-props=\"{}\">\u00a0<\/span>\u00a0<\/span><\/span><\/li><li style=\"vertical-align: baseline;background-color: transparent;color: windowtext\"><span style=\"font-family: arial, helvetica, sans-serif;font-size: 12pt\"><span lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\">Compare with a simple network (<\/span><span lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\">non deep<\/span><span lang=\"EN-US\" xml:lang=\"EN-US\" data-contrast=\"auto\">)<\/span><span data-ccp-props=\"{}\">\u00a0<\/span><\/span><\/li><li style=\"vertical-align: baseline;background-color: transparent;color: windowtext\"><span style=\"font-family: arial, helvetica, sans-serif;font-size: 12pt\"><span data-ccp-props=\"{}\"><span style=\"margin: 0px;padding: 0px;background-color: inherit\">Consider analytic improvements to adjust for the vehicle dynamics<\/span><span style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 19.425px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" data-ccp-props=\"{}\">\u00a0<\/span><\/span><\/span><\/li><li style=\"vertical-align: baseline;background-color: transparent;color: windowtext\"><span style=\"font-family: arial, helvetica, sans-serif;font-size: 12pt\"><span data-ccp-props=\"{}\"><span style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 19.425px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" data-ccp-props=\"{}\">Implement a neural network training for several of the response rules<\/span><\/span><\/span><\/li><\/ul><\/div><div style=\"margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr\"><div style=\"margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr\"><p style=\"margin-bottom: 0px;padding: 0px;vertical-align: baseline;background-color: transparent;color: windowtext\"><strong><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" xml:lang=\"EN-US\" data-contrast=\"auto\">Prerequisite<\/span><span style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" data-ccp-props=\"{}\">\u00a0<\/span><\/strong><\/p><p style=\"margin-bottom: 0px;padding: 0px;vertical-align: baseline;background-color: transparent;color: windowtext\"><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 19.425px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" xml:lang=\"EN-US\" data-contrast=\"auto\">Basic knowledge of ordinary differential equations, neural networks, and either MATLAB or Python.<\/span><span style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 19.425px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" data-ccp-props=\"{}\">\u00a0<\/span><strong><span style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" data-ccp-props=\"{}\"><br \/><\/span><\/strong><\/p><p style=\"margin-bottom: 0px;padding: 0px;vertical-align: baseline;background-color: transparent;color: windowtext\"><span style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 19.425px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" data-ccp-props=\"{}\">\u00a0<\/span><\/p><\/div><div style=\"margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr\"><p style=\"margin-bottom: 0px;padding: 0px;vertical-align: baseline;background-color: transparent;color: windowtext\"><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" xml:lang=\"EN-US\" data-contrast=\"auto\">References:\u00a0<\/span><span style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 20.5042px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" data-ccp-props=\"{}\">\u00a0<\/span><\/p><\/div><div style=\"margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr\"><ol><li><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 19.425px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" xml:lang=\"EN-US\" data-contrast=\"auto\">N. E. Leonard and E. Fiorelli, \u201cVirtual leaders, artificial potentials and coordinated control of groups,\u201d in\u00a0<\/span><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 19.425px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" xml:lang=\"EN-US\" data-contrast=\"auto\">Proceedings of the 40th IEEE Conference on Decision and Control<\/span><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 19.425px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" xml:lang=\"EN-US\" data-contrast=\"auto\">\u00a0(Cat. No. 01CH37228), vol. 3. IEEE, 2001, pp. 2968\u20132973.<\/span><\/li><li><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 19.425px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" xml:lang=\"EN-US\" data-contrast=\"auto\">C. W. Reynolds, Flocks, herds and schools: A distributed behavioral model.<\/span><span style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 19.425px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" data-ccp-props=\"{}\">\u00a0<\/span><\/li><li><div style=\"margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr;font-family: 'Segoe UI', 'Segoe UI Web', Arial, Verdana, sans-serif;font-size: 12px\"><p style=\"margin-bottom: 0px;padding: 0px;vertical-align: baseline;background-color: transparent;color: windowtext\"><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 19.425px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span style=\"margin: 0px;padding: 0px;background-color: inherit\">Mehmood, N. Paoletti, D. Phan, R. Grosu, S. Lin, S. D. Stoller, A. Tiwari, J. Yang, and S. A. Smolka, \u201cDeclarative vs rule-based control for flocking dynamics,\u201d in Proceedings of the 33rd Annual ACM Symposium on Applied Computing. ACM, 2018, pp. 816\u2013823.<\/span><\/span><span style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 19.425px;font-family: Arial, Arial_EmbeddedFont, Arial_MSFontService, sans-serif\" data-ccp-props=\"{}\">\u00a0<\/span><\/p><\/div><\/li><\/ol><\/div><\/div><\/div><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-99f92ae ot-traditional elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"99f92ae\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-820c7be ot-flex-column-vertical\" data-id=\"820c7be\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-004d8b5 elementor-widget elementor-widget-spacer\" data-id=\"004d8b5\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-6fdae0e elementor-widget elementor-widget-heading\" data-id=\"6fdae0e\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h5 class=\"elementor-heading-title elementor-size-default\">Predict real-time traffic flow and risk using AI: Dr. Yufang Jin<\/h5>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-7ecdab2 elementor-widget elementor-widget-toggle\" data-id=\"7ecdab2\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"toggle.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-toggle\">\n\t\t\t\t\t\t\t<div class=\"elementor-toggle-item\">\n\t\t\t\t\t<div id=\"elementor-tab-title-1321\" class=\"elementor-tab-title\" data-tab=\"1\" role=\"button\" aria-controls=\"elementor-tab-content-1321\" aria-expanded=\"false\">\n\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon elementor-toggle-icon-left\" aria-hidden=\"true\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-closed\"><i class=\"fas fa-caret-right\"><\/i><\/span>\n\t\t\t\t\t\t\t\t<span class=\"elementor-toggle-icon-opened\"><i class=\"elementor-toggle-icon-opened fas fa-caret-up\"><\/i><\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t\t\t<a class=\"elementor-toggle-title\" tabindex=\"0\">View Project<\/a>\n\t\t\t\t\t<\/div>\n\n\t\t\t\t\t<div id=\"elementor-tab-content-1321\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"1\" role=\"region\" aria-labelledby=\"elementor-tab-title-1321\"><div style=\"margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr;color: #000000;font-family: 'Segoe UI', 'Segoe UI Web', Arial, Verdana, sans-serif;font-size: 12px\">\n<div style=\"margin: 0px;padding: 0px\">\n<div style=\"margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr\">\n<p style=\"margin-bottom: 0px;padding: 0px;vertical-align: baseline;background-color: transparent;color: windowtext\"><span lang=\"EN-US\" style=\"font-family: arial, helvetica, sans-serif;background-color: transparent;color: windowtext;font-size: 12pt;margin: 0px;padding: 0px;line-height: 18px;font-weight: bold\" xml:lang=\"EN-US\" data-contrast=\"none\">Project Description<\/span><span style=\"font-family: arial, helvetica, sans-serif;background-color: transparent;color: windowtext;font-size: 12pt;margin: 0px;padding: 0px;line-height: 18px\" data-ccp-props=\"{\">&nbsp;<\/span><\/p>\n<\/div>\n<div style=\"margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr\">\n<p style=\"margin-bottom: 0px;padding: 0px;vertical-align: baseline;background-color: transparent;color: windowtext;text-align: justify\"><span style=\"font-family: arial, helvetica, sans-serif\"><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 18px\" xml:lang=\"EN-US\" data-contrast=\"auto\">The objective of this project is to enhance road safety in high-risk regions by providing real-time safety notifications to drivers using the current VIVDS. To achieve this goal, we will enable the current VIVDS to process massive real-time data, extract real-time traffic information, and identify potential safety risks using the limited computational resources from VIVDS devices. Once the high-risk threshold is reached, the framework will generate safety notifications and show the notifications on a display panel powered by energy harvesting technology before the drivers enter the high-risk regions to minimize the potential for human errors. To enhance the night-time safety, auxiliary devices compatible with the guidelines of VIVDS will also be employed and tested.<\/span><span style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 18px\" data-ccp-props=\"{\">&nbsp;<\/span><\/span><\/p>\n<\/div>\n<div style=\"margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr\">\n<p style=\"margin-bottom: 0px;padding: 0px;vertical-align: baseline;background-color: transparent;color: windowtext\"><span style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 18px;font-family: arial, helvetica, sans-serif\" data-ccp-props=\"{\">&nbsp;<\/span><\/p>\n<\/div>\n<div style=\"margin: 0px;padding: 0px\">\n<ol style=\"margin-bottom: 0px;padding: 0px;overflow: visible;cursor: text;list-style-type: upper-alpha\" role=\"list\" start=\"2\">\n<li style=\"margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr;font-size: 12pt;font-family: 'Times New Roman', 'Times New Roman_MSFontService', serif;vertical-align: baseline\" role=\"listitem\" data-leveltext=\"%1.\" data-font=\"Times New Roman\" data-listid=\"1\" data-aria-posinset=\"2\" data-aria-level=\"1\">\n<p style=\"margin-bottom: 0px;padding: 0px;vertical-align: baseline;background-color: transparent;color: windowtext\"><span style=\"font-family: arial, helvetica, sans-serif\"><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 18px;font-weight: bold\" xml:lang=\"EN-US\" data-contrast=\"none\">Tasks<\/span><span style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 18px\" data-ccp-props=\"{\">&nbsp;<\/span><\/span><\/p>\n<\/li>\n<\/ol>\n<\/div>\n<\/div>\n<div style=\"margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr\">\n<p style=\"margin-bottom: 0px;padding: 0px;vertical-align: baseline;background-color: transparent;color: windowtext;text-align: justify\"><span style=\"font-family: arial, helvetica, sans-serif\"><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 18px\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span style=\"margin: 0px;padding: 0px\" data-ccp-parastyle=\"TextBody1\">Task 1: <\/span><span style=\"margin: 0px;padding: 0px\" data-ccp-parastyle=\"TextBody1\">Learn basic knowledge <\/span><span style=\"margin: 0px;padding: 0px\" data-ccp-parastyle=\"TextBody1\">on deep learning algorithms<\/span><span style=\"margin: 0px;padding: 0px\" data-ccp-parastyle=\"TextBody1\"> and python programming. Weeks 1-2)<\/span><span style=\"margin: 0px;padding: 0px\" data-ccp-parastyle=\"TextBody1\">&nbsp;<\/span><\/span><span style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 18px\" data-ccp-props=\"{\">&nbsp;<\/span><\/span><\/p>\n<\/div>\n<div style=\"margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr\">\n<p style=\"margin-bottom: 0px;padding: 0px;vertical-align: baseline;background-color: transparent;color: windowtext;text-align: justify\"><span style=\"font-family: arial, helvetica, sans-serif\"><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 18px\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span style=\"margin: 0px;padding: 0px\" data-ccp-parastyle=\"TextBody1\">Task 2: <\/span><span style=\"margin: 0px;padding: 0px\" data-ccp-parastyle=\"TextBody1\">K<\/span><span style=\"margin: 0px;padding: 0px\" data-ccp-parastyle=\"TextBody1\">now <\/span><span style=\"margin: 0px;padding: 0px\" data-ccp-parastyle=\"TextBody1\">how to access data from <\/span><span style=\"margin: 0px;padding: 0px\" data-ccp-parastyle=\"TextBody1\">Crash Reporting Information System (CRIS), and Pavement Management Information System (PMIS) <\/span><span style=\"margin: 0px;padding: 0px\" data-ccp-parastyle=\"TextBody1\">databases<\/span><span style=\"margin: 0px;padding: 0px\" data-ccp-parastyle=\"TextBody1\">, and familiar with the image format from <\/span><span style=\"margin: 0px;padding: 0px\" data-ccp-parastyle=\"TextBody1\">Video Imaging Vehicle Detection System (VIVDS)<\/span><span style=\"margin: 0px;padding: 0px\" data-ccp-parastyle=\"TextBody1\">. (Week 3)<\/span><\/span><span style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 18px\" data-ccp-props=\"{\">&nbsp;<\/span><\/span><\/p>\n<\/div>\n<div style=\"margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr\">\n<p style=\"margin-bottom: 0px;padding: 0px;vertical-align: baseline;background-color: transparent;color: windowtext;text-align: justify\"><span style=\"font-family: arial, helvetica, sans-serif\"><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 18px\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span style=\"margin: 0px;padding: 0px\" data-ccp-parastyle=\"TextBody1\">Task 3: <\/span><span style=\"margin: 0px;padding: 0px\" data-ccp-parastyle=\"TextBody1\">Identify high-risk regions and causes of collision using existing databases including CRIS and PMIS.<\/span><span style=\"margin: 0px;padding: 0px\" data-ccp-parastyle=\"TextBody1\"> (<\/span><span style=\"margin: 0px;padding: 0px\" data-ccp-parastyle=\"TextBody1\">Week 4-<\/span><span style=\"margin: 0px;padding: 0px\" data-ccp-parastyle=\"TextBody1\">6<\/span><span style=\"margin: 0px;padding: 0px\" data-ccp-parastyle=\"TextBody1\">)<\/span><\/span><span style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 18px\" data-ccp-props=\"{\">&nbsp;<\/span><\/span><\/p>\n<\/div>\n<div style=\"margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr\">\n<p style=\"margin-bottom: 0px;padding: 0px;vertical-align: baseline;background-color: transparent;color: windowtext;text-align: justify\"><span style=\"font-family: arial, helvetica, sans-serif\"><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 18px\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span style=\"margin: 0px;padding: 0px\" data-ccp-parastyle=\"TextBody1\">Task 4: <\/span><span style=\"margin: 0px;padding: 0px\" data-ccp-parastyle=\"TextBody1\">Develop on-board deep learning (DL) algorithms for real-time traffic flow detection using the compatible devices deployed by VIVDS.<\/span><span style=\"margin: 0px;padding: 0px\" data-ccp-parastyle=\"TextBody1\"> (<\/span><span style=\"margin: 0px;padding: 0px\" data-ccp-parastyle=\"TextBody1\">Week 6-9)<\/span><\/span><span style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 18px\" data-ccp-props=\"{\">&nbsp;<\/span><\/span><\/p>\n<\/div>\n<div style=\"margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr\">\n<p style=\"margin-bottom: 0px;padding: 0px;vertical-align: baseline;background-color: transparent;color: windowtext;text-align: justify\"><span style=\"font-family: arial, helvetica, sans-serif\"><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 18px\" xml:lang=\"EN-US\" data-contrast=\"auto\">Task 5: Weekly and final reports. (Weeks 2-10)<\/span><span style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 18px\" data-ccp-props=\"{\">&nbsp;<\/span><\/span><\/p>\n<\/div>\n<div style=\"margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr\">\n<p style=\"margin-bottom: 0px;padding: 0px;vertical-align: baseline;background-color: transparent;color: windowtext\"><span style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 18px;font-family: arial, helvetica, sans-serif\" data-ccp-props=\"{\">&nbsp;<\/span><\/p>\n<\/div>\n<div style=\"margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr\">\n<p style=\"margin-bottom: 0px;padding: 0px;vertical-align: baseline;background-color: transparent;color: windowtext\"><span style=\"font-family: arial, helvetica, sans-serif\"><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 18px;font-weight: bold\" xml:lang=\"EN-US\" data-contrast=\"auto\">Prerequisite<\/span><span style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 18px\" data-ccp-props=\"{\">&nbsp;<\/span><\/span><\/p>\n<\/div>\n<div style=\"margin: 0px;padding: 0px;overflow: visible;cursor: text;clear: both;direction: ltr\">\n<p style=\"margin-bottom: 0px;padding: 0px;vertical-align: baseline;background-color: transparent;color: windowtext\"><span style=\"font-family: arial, helvetica, sans-serif\"><span lang=\"EN-US\" style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 18px\" xml:lang=\"EN-US\" data-contrast=\"auto\"><span style=\"margin: 0px;padding: 0px\" data-ccp-parastyle=\"Normal (Web)\">Basic knowledge of<\/span><span style=\"margin: 0px;padding: 0px\" data-ccp-parastyle=\"Normal (Web)\"> programing, better if know<\/span><span style=\"margin: 0px;padding: 0px\" data-ccp-parastyle=\"Normal (Web)\"> Python.<\/span><\/span><span style=\"margin: 0px;padding: 0px;font-size: 12pt;line-height: 18px\" data-ccp-props=\"{\">&nbsp;<\/span><\/span><\/p>\n<\/div>\n<\/div><\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-eafcb8c ot-traditional elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"eafcb8c\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-97bdfca ot-flex-column-vertical\" data-id=\"97bdfca\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-1cb45ec elementor-widget elementor-widget-spacer\" data-id=\"1cb45ec\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"spacer.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-spacer\">\n\t\t\t<div class=\"elementor-spacer-inner\"><\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-f7b1a4d ot-traditional elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"f7b1a4d\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-25 elementor-top-column elementor-element elementor-element-4e90c2c ot-flex-column-vertical\" data-id=\"4e90c2c\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div 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height=\"150\" src=\"https:\/\/ceid.utsa.edu\/reu\/wp-content\/uploads\/sites\/110\/2021\/04\/bottomlogo-150x150.png\" class=\"attachment-thumbnail size-thumbnail wp-image-289\" alt=\"\" srcset=\"https:\/\/ceid.utsa.edu\/reu\/wp-content\/uploads\/sites\/110\/2021\/04\/bottomlogo-150x150.png 150w, https:\/\/ceid.utsa.edu\/reu\/wp-content\/uploads\/sites\/110\/2021\/04\/bottomlogo-100x100.png 100w\" sizes=\"(max-width: 150px) 100vw, 150px\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-0a6d883 ot-traditional elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"0a6d883\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 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route redirection in a designated region using reinforcement learning (RL) algorithms. 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