Alireza Mohammadi, Ph.D.

Alireza Mohammadi received the Ph.D. degree in Electrical and Computer Engineering from the University of Toronto, Canada in 2016. During his Ph.D. studies, he collaborated with the Norwegian Centre for Autonomous Marine Operations and Systems (a Centre of Excellence for research in Norway) on locomotion control of ground and swimming snake robots. In 2011, he received the Master’s degree from the University of Alberta, Canada where he was with the Telerobotic & Biorobotic Systems Laboratory.  He joined the Locomotor Control Systems Laboratory at the University of Texas, Dallas, as a Postdoctoral Research Associate in November 2016, where he was using neuromechanical principles in the context of feedback control theory to design wearable robot control systems.  In 2018, Dr. Mohammadi joined the Electrical and Computer Engineering Department at the University of Michigan–Dearborn as an Assistant Professor. He is the principal investigator of the Robotic Motion Intelligence (RMI) Lab and director of the MSE-Robotics Engineering program at UM-Dearborn. His current research projects, which are sponsored by the NSF, Ford Motor Company, NASA Michigan Space Grant Consortium (MSGC), the American Society for Engineering Education (ASEE), the Lemelson Foundation, and the University of Michigan, focus on robotics, control systems, cyber-physical systems, and integration of sustainability concepts within engineering higher education.

Ph.D., Electrical and Computer Engineering, University of Toronto

M.Sc., Electrical and Computer Engineering, University of Alberta

B.Sc., Electrical Engineering, Sharif University of Technology

• Mohammadi, A., Malik, H. and Abbaszadeh, M., 2023. Vehicle lateral motion dynamics under braking/abs cyber-physical attacks. IEEE Transactions on Information Forensics and Security, 18, pp.4100-4115.
• Mohammadi, A. and Malik, H., 2023, October. Generation of Time-Varying Impedance Attacks Against Haptic Shared Control Steering Systems. In 2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 5064-5071). IEEE.
• Mohammadi, A. and Al Janaideh, M., 2023, October. Sign Gradient Descent Algorithms for Kinetostatic Protein Folding. In 2023 International Conference on Manipulation, Automation and Robotics at Small Scales (MARSS) (pp. 1-6). IEEE.
• Zbiss, K., Kacem, A., Santillo, M. and Mohammadi, A., 2022. Automatic Collision-Free Trajectory Generation for Collaborative Robotic Car-Painting. IEEE Access, 10, pp.9950-9959.
• Mohammadi, A., Rahmati, M. and Malik, H., 2022. Location-aware beamforming for MIMO-enabled UAV communications: An unknown input observer approach. IEEE Sensors Journal, 22(8), pp.8206-8215.
• Mohammadi, A. and Spong, M.W., 2021. Integral line-of-sight path following control of magnetic helical microswimmers subject to step-out frequencies. Automatica, 128, p.109554.