Alireza Mohammadi, Ph.D.

Prof. Mohammadi is an Assistant Professor in Electrical and Computer Engineering at the University of Michigan - Dearborn. In 2018, he has established the Robotic Motion Intelligence Lab whose research activities are supported by the NSF, Ford Motor Company, NASA MSGC, and American Society of Engineering Education (ASEE). He 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 Masters degree from the University of Alberta, Canada where he was with the Telerobotic & Biorobotic Systems Laboratory. He received the Bachelors degree in Electrical Engineering from Sharif University of Technology, Iran in 2009. 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. His research interests include bioinspired robotics, wearable robots, nonlinear control, hybrid systems, and mechatronics.

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

Kacem, A., Zbiss, K., Watta, P., and Mohammadi, A., 2023.  Wave Space Sonification of the Folding Pathways of Protein Molecules Modeled as Hyper-Redundant Robotic Mechanisms. Multimedia Tools and Applications (Springer Nature), 2023, accepted.

Manzoor, W., Rawashdeh, S. and Mohammadi, A., 2023. Vehicular Applications of Koopman Operator Theory–A Survey. IEEE Access, 11, pp. 25917-25931.

Mohammadi, A. and Heilman, D.  Protein Molecules as Robotic Mechanisms: An Interdisciplinary Project-Based Learning Experience at the Intersection of Biochemistry and Robotics. In 2023 ASEE Annual Conference & Exposition. accepted.

Mohammadi, A., Malik, H. and Abbaszadeh, M., 2022, June. Generation of Wheel Lockup Attacks on Nonlinear Dynamics of Vehicle Traction. In 2022 American Control Conference (ACC) (pp. 1994-1999). 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.

Rahmati, M. and Mohammadi, A., 2022. Dynamic Noncontiguous Location-Aware Spectrum Aggregation for UAV-to-UAV Communications. IEEE Sensors Letters, 6(11), pp.1-4.

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.