Michael Frye

Michael Frye

Professor, Engineering Office Location: McCombs, 4th Floor, 414 A. Phone: (210) 829-3160

  • Dr. Michael Frye is a tenured Professor of Electrical Engineering and the Jones Endowed Chair of Engineering at 不良研究所. He is the Director of the AVS Lab and is responsible for the research and management of the laboratory. Dr. Frye has a background in flight controls and modeling of fixed and rotorcraft vehicles. Dr. Frye earned his Ph.D. in Electrical Engineering from the University of Texas at San Antonio in 2006 and received his tenure-track appointment at 不良研究所 in August 2007. He teaches courses in electrical engineering, engineering mathematics, control theory and machine learning. Prior to joining 不良研究所, Dr. Frye worked for Continental Airlines on predictive windshear systems, Lockheed Martin Skunkworks on avionics and flight controls, NASA Ames/Army Rotorcraft Directorate on rotorcraft modeling and control, and the Southwest Research Institute on signal estimation and detection. Dr. Frye is a licensed FAA Part 107 Remote Pilot.

  • Ph.D., Electrical Engineering, University of Texas at San Antonio, San Antonio TX, 2006
  • MS, Electrical Engineering, University of Southern California, Los Angeles, CA, 1999
  • BS, Electrical Engineering, University of Houston, Houston, TX, 1996
  • Professor of Electrical Engineering (tenured) and Jones Chair of Engineering, 不良研究所, San Antonio, TX 2020 to Present
  • Chair of Department of Engineering, 2020 to 2022
  • Associate Professor of Electrical Engineering (tenured), 不良研究所, San Antonio, TX 2012 to 2020
  • Assistant Professor of Electrical Engineering, 不良研究所, San Antonio, TX 2007 to 2012
  • Graduate Research Assistant, Southwest Research Institute, San Antonio, TX 2003 to 2006
  • Associate Director of Data Product Development, AT&T, Dallas, TX 2000 to 2003
  • Graduate Researcher Rotorcraft, NASA Ames Research Center, Moffett Field, CA 1999
  • Avionics and Flight Controls Engineer, Lockheed Martin Skunkworks, Palmdale, CA 1997 to 1999
  • Avionics CO-OP Engineer, Continental Airlines, Houston, TX 1993 to 1996
  1. “Application of Computer Vision for Pest Monitoring and Biological Control in Precision Agriculture", by George Sikazwe, Sergio Shimura, Logan Nijland, Adam Gower, and Michael Frye, 2025 Modeling, Estimation and Control Conference (IFAC MECC), Pittsburgh, Pennsylvania, October 5 - 8, 2025.
  2. “Precision Georeferenced Mapping with Drones for Pest Detection in Opuntia ficus-indica Crops using SLAM and RTK-NTRIP,” Sergio Shimura, Arthur Alves Miyazaki and Michael Frye, 11th International Conference on Sensors and Electronic Instrumentation Advances (SEIA 2025), Ibiza, Spain, September 24-26, 2025.
  3. “Design and Real-Time Implementation of a Cascaded Model Predictive Control Architecture for Unmanned Aerial Vehicles,” Patricio Borbolla-Badillo, David Sotelo, Michael Frye, Luis E. Garza-Castañón, Luis Juárez-Moreno, and Carlos Sotelo, Journal of Mathematics, Special Issue on Dynamics and Control Theory with Applications, 2024, 12(5), 739. Submitted for review on December 17, 2023. Revised on February 1, 2024. Accepted on February 12, 2024.
  4. “How to Develop a Culture of Coding for the Future: A Case Study of the megaGEMS Coding Academy,” George Sikazwe, Stephanie Weiss-Lopez, Diane Peters, and Michael Frye, Proceedings of the ASEE 2024 Annual Conference and Exposition, Portland, OR, June 23 to 26, 2024.
  5. “Staggered Ackerman Steering Geometry for Autonomous Driving of a Paired E-Scotter System,” William Qian and Michael Frye, 2023 IEEE 6th Student Conference on Electric Machines and Systems (SCEMS), Huzhou, China, December 7-9, 2023.
  6. “Application of AI for Autonomous Flight on a micro-Drone”, Lane, C, Jones, O., and Frye, M., Proceedings of the 2022 IEEE/AIAA 41st Digital Avionics Systems Conference, Portsmouth, VA, September 18-22, 2022.
  7. “Guidance and Navigation for Drone Swarm Applications,” Beck, C., Avila, J., and Frye, M., Proceedings of the 2022 IEEE/AIAA 41st Digital Avionics Systems Conference, Portsmouth, VA, September 18-22, 2022.
  8. “Instance Segmentation Graph Neural Network for Detecting Faculty Insulators Using the FLIR SkyRanger R70 UAS”, Vemula, S. and Frye, M., Proceedings of the 2022 IEEE/AIAA 41st Digital Avionics Systems Conference, Portsmouth, VA, September 18-22, 2022.
  9. “Overview of the megaGEMS AEOP Summer 2021 Research Apprenticeship Camp,” Weiss-Lopez, S and Frye, M., 2022 ASEE Annual Conference & Exposition, Minneapolis, MN, June 26-29, 2022.
  10. “Indoor Autonomous Powerline Inspection Model,” Avial, J, Brouwer, T, and Frye, M., Proceedings of the 2021 IEEE/AIAA 40th Digital Avionics Systems Conference, San Antonio, TX, October 3-7, 2021.
  11. “Multi-head Attention Based Transformers for Vegetation Encroachment Over Powerline Corridors using UAV,” Vemula, S. and Frye, M., Proceedings of the 2021 IEEE/AIAA 40th Digital Avionics Systems Conference, San Antonio, TX, October 3-7, 2021.
  • Computer Programming
  • Numerical Analysis
  • Engineering Analysis
  • Circuit Analysis
  • Control Theory
  • Science of Autonomy
  • Large Decentralized Networks
  • Nonlinear Controls
  • Artificial Intelligence
  • Robust, Optimal and Stochastic Controls