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UTSA CEID
 March 25, 2023

Mo Jamshidi

Mo Jamshidi

by utsaengineer / Monday, 14 August 2017 / Published in
Lutcher Brown Endowed Chair and Professor
BSE 1.544
210-458-7074
moj@wacong.org
https://acelab.wixsite.com/acelab
 

Areas of Teaching Interest

System of Systems, Intelligent Robotics

Areas of Research Interest

Large-scale systems, Cyber-Physical Systems, Big Data Analyic, Computational intelligence, Mobile robotics

Educational Background

Ph.D., University of Illinois—Urbana-Champaign, 1971,

Selected Publications

  • M. JAMSHIDI, “Reflections on Four Decades of Contributions of my Graduate Students,” chapter 1 in “Control and Systems Engineering – A report on four decades of contributions,” A. El-Osery and J. Prevost (eds.) Volume 18, Systems, Decision s and Control Series, Janusz Kacprzyk, Editor, Springer.-Verlag, Wiesbaden, Germany, 2015, ISBN 978-3-319-14636-2., pp. 1-12.
  • L. Roiné*; K. Tehrani; Y. Sahraei Manjili*; M. JAMSHIDI, “Microgrid Energy Management System Using Fuzzy Logic Control,” Int Journal of Complex Systems – Computing, Sensing and Control, Vol. 3, No. 1, 204, pp.79-92.
  • Moussavi-Khalkhali, Arezou, Krishnan, Ram, and JAMSHIDI, Mo, “Periodic Virtual Hierarchy: A Trust Model for Smart Grid Devices.”, International Journal of Security and Its Applications 2016.
  • Moussavi-Khalkhali, and, M. JAMSHIDI, “Feature Fusion Models for Deep Autoencoders: Application to Traffic Flow Prediction.”, Journal of Experimental & Theoretical Artificial Intelligence, 2016.
  • Shukla, H. Karki, L. Behera, and M. JAMSHIDI, “Teleoperation by using non- isomorphic mechanisms in the master-slave configuration for speed control,” IEEE Systems Journal, Vol 12, Issue:2, pp1369-1380, June 2018, on IEEE Xplore.
  • S. Ali Miraftabzadeh, Paul Rad and Mo JAMSHIDI, “Efficient Distributed Algorithm for Scheduling Workload-Aware Jobs on Multi-Clouds,” Chapter accepted in “Advanced Computing for Machine Learning,” Arun Kumar Sangaiah, et al (eds.), Springer Verlag, 2016.
  • J. Cruz-Lambert*, P. Benavidez, J. Ortiz*, N. Gallardo*, B. A. Erol*, J. Richey*, S. Morris* and M. JAMSHIDI, “DC-DC converter with fuzzy controller for solar cell applications on mobile robot,” Iranian Journal of Fuzzy Systems Vol. 13, No. 7, (2016) pp. 33-52.
  • Mondal, C. Bhowmick, L. Behera, and M. JAMSHIDI, “Trajectory Tracking by Multiple Agents in Formation with Collision Avoidance and Connectivity Assurance,” IEEE systems Journal, 2017, DOI: 10.1109/JSYST.2017.2778063
  • J. Lwowski*, P. Benavidez, J. J. Prevost, and M. JAMSHIDI, “Task Allocation Using Parallelized Clustering and Auctioning Algorithms for Heterogeneous Robotic Swarms Operating on a Cloud Network,” Chapter 3 in Autonomy and Artificial Intelligence, (W. F. Lawless, et al, eds.), Springer-Verlag, 2017.
  • Miraftabzadeh, P. Rad, R. Choo, and Mo JAMSHIDI. “A Privacy-Aware Embedding Algorithm at the Edge for Autonomous Real-Time Identity Re-Identification in Crowds, “IEEE Internet of Things Journal, 5(4), pp 2936 – 2946.
  • M. Roopaei, P. Rad, and M. JAMSHIDI, “Deep learning control for complex and large-scale cloud systems, “Intelligent Automation and Soft Computing, Vol. 24, No. 3, pp. 389-391, 2017.
  • R. Ravindranathan Nair, H. Karki, A. Shukla, L. Behera M. JAMSHIDI,” Fault tolerant formation control of nonholonomic robots using fast adaptive gain NTSMC,” IEEE Systems Journal, 13(1), 1006 – 1017
  • Y. Sahraei Manjili, R. Vega, and M. JAMSHIDI,” Data-Analytic-Based Adaptive Solar Energy Forecasting Framework,” IEEE Systems Journal, 12(1): 285-296 (2018)
  • N. Gamez*, P. Kolar*, and M. JAMSHIDI,” Impact of time delays in networked control of autonomous systems,” Chapter in Beyond Traditional Probabilistic Data Processing Techniques: Interval, Fuzzy, etc. Methods and Their Applications, (Eds. Olga Kosheleva, Sergey Shary, Gang Xiang and Roman Zapatrin), Springer, Wiesbaden, Germany, 2018
  • B. Erol*, A. Majumdar*, J. Lwowski*, P. Benavidez, P. Rad, and M. JAMSHIDI, “Improved Deep Neural Network Object Tracking System for Applications in Home Robotics”, Chapter 14 in Computational Intelligence for Pattern Recognition, (W. Pedrycz and S.-M. Chen (eds), Springer-Verlag, 2018, pp. 369-395.
  • J. Lwowski*, A. Majumdar*, P. Benavidez, J. J. Prevost, and M. JAMSHIDI, “Bird Flocking Inspired Formation Control for Unmanned Aerial Vehicles Using Stereo Camera,” IEEE Systems Journal. Accepted, Feb. 2018.
  • N. Kumar Dhar, N. K. Verma, L. Behera, M. JAMSHIDI: On an Integrated Approach to Networked Climate Control of a Smart Home. IEEE Systems Journal 12(2): 1317-1328 (2018)
  • Zhanibek Kozhirbayev*, Zhandos Yessenbayev, Altynbek Sharipbay and Mo JAMSHIDI, “Semantic-based query expansion: integration of spoken term detection with full text search engine”, Speech Communication.
  • B. A. Erol*, A. Majumdar*, P. Benavidez, P. Rad , Member, K-K R. Choo , and M. JAMSHIDI, “Toward Artificial Emotional Intelligence for Cooperative Social Human–Machine Interaction,” IEEE Transactions on Computational Social Systems, Vol 7, Issue 1, pp. 234-246, 2019 https://doi.org/10.1109/TCSS.2019.2922593
  • Conor Wallace, Sean Ackels, Patrick Benavidez, Mo Jamshidi, “Deep Learning and Spectral Clustering for Fault Tolerant Control of an Unmanned Ground Vehicle with Dislocated Actuator Fault,” IEEE Systems Journal, Accepted to be published in 2020
  • Prasanna Kolar, Patrick Benavidez and Mo Jamshidi,” Survey of Datafusion Techniques for Laser and Vision Based Sensor Integration for Autonomous Navigation, Sensors, Accepted to be published in 2020.

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