IoT research in the Department of Electrical and Computer Engineering at the University of Texas at San Antonio

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(CONCISE) Project

Application of Artificial Intelligence to Cybersecurity for Protecting National Critical Infrastructure

Consortium On National Critical Infrastructure Security (CONCISE) Project

Led by UTSA, the (CONCISE) consortium will ATTRACT, EDUCATE and DEVELOP cybersecurity RESEARCH skills for underrepresented minority students from four Minority Serving Institutes (UTSA, UNLV, NCA&T and SSU). The CONCISE consortium also aims at creating a sustainable WORKFORCE PIPELINE between the four universities with three U.S. DOE/NNSA national laboratories (SNL, INL and NNSS). We expect more than one hundred CONCISE graduates will join U.S. DOE cybersecurity workforce by the end of 2026.

01

Attract underrepresented students in cybersecurity discipline.

01

ATTRACT

ATTRACT
02

Educate cybersecurity knowledge/skills in the classroom.

02

EDUCATE

EDUCATE
03

Conduct cutting-edge IIoT cybersecurity research.

03

RESEARCH

RESEARCH
04

Produce upper-tier cybersecurity workforce for U.S. DOE.

04

WORKFORCE

WORKFORCE

Academic Teams

National Laboratory

Assistant Professor, Electrical and Computer Engineering
Professor and Chair of Computer Science

Associate Professor, Computer Science

Professor, Engineering Technology and Interim Assistant Vice President of Institutional Research Planning and Assessment
Gallogly Chair Professor in
Cybersecurity, Computer Science


Sandia National Laboratories


Idaho National Laboratory


DOE/NNSA Nevada National Security Site

CONCISE Workforce Development Goal

In the years to come CONCISE project is set to bring more students into the cybersecurity workforce.

The number of students expected in the years to come.
Summer Internships expectations to have 60+ students.
IoT Certified students 100+ students.
Full-time Bachelors of Science 50+ students.
Full-time Masters of Science 20+ students.
Full-time Doctoral students 10+ students.
As the years go by these numbers are expect to exceed. 

(2021-2026)
Summer Intern Students 60%
IoT Certificate Students 100%
Full Time Bachelors of Science Students 50%
Full Time Masters of Science Studnets 20%
Full Time Doctoral Students 10%
(2027-2031)
Summer Intern Students 60%
IoT Certificate Students 100%
Full Time Bachelors of Science Students 50%
Full Time Masters of Science Studnets 30%
Full Time Doctoral Students 15%

We are always looking for students interested in joining our team!

Apply Now