Alireza Mohammadi is an Assistant Professor in the Electrical and Computer Engineering Department at the University of Michigan–Dearborn. He is the principal investigator of the Robotic Motion Intelligence (RMI) Lab, which he established in 2018. 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 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 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. His research interests include robotics, control systems, and cyber-physical systems.

Academic Genealogy

My Academic Genealogy

My academic genealogy can be traced back to Vincenzo Brunacci who graduated from the University of Pisa in 1788 and was a professor of infinitesimal calculus (Matematica sublime) at the University of Pavia. His advisors were Pietro Paoli and Sebastiano Canovai. Through the postdoctoral supervisor of Kevin Passino (my academic grandfather!), i.e., Anthony Michel, I am also connected to Friedrich Leibniz, the father of Gottfried Wilhelm Leibniz, one of the founders of calculus.

My Erdős number is currently 5. I have coauthored with Robert D. Gregg, IV. The chain connecting me to Erdős is as follows: Robert D. Gregg, IV -> Shankar Sastry -> Stephen P. Boyd -> Persi W. Diaconis -> Paul Erdős.


University of Michigan- Dearborn

ECE 543: Kinematics, Dynamics, and Control of Robots

ECE 545: Introduction to Robotic Systems

ECE 4641: Mobile Robots

ECE 3641: Robitc Manipulators

ECE 347: Applied Dynamics

University of Texas at Dallas (as a guest lecturer)

BMEN 4310: Feedback Systems in Biomedical Engineering – Winter 2018 , Fall 2017
Description: Feedback Systems in Biomedical Engineering (3 semester credit hours) Notions of inputs, outputs, and states. Linearity versus nonlinearity. Deterministic versus stochastic systems. Top down versus bottom up modeling. Sensitivity and reduction of sensitivity via feedback. Introduction to stability. Feedback for stabilization and disturbance rejection. Numerical simulation and controller design via computational approaches.

MECH 6324: Robot Control – Fall 2016
Description: Robot Control (3 semester credit hours) Dynamics of robots; methods of control; force control; robust and adaptive control; feedback linearization; Lyapunov design methods; passivity and network control; control of multiple and redundant robots; teleoperation.



ELB 2057, University of Michigan- Dearborn,

4901 Evergreen Road, Dearborn, MI 48128

amohmmad (at) umich (dot) edu


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The PHANToM devices (Geomagic® Inc., SC, USA) provide the users in industry and academia with an opportunity for research and education in virtual reality, haptics, robot motion control and teleoperation. Traditionally, one has to develop C/C++ codes using the OpenHaptics software development kit (SDK) in order to use these devices. The PHANSIM Toolkit is an academic/non-commercial Simulink toolkit for real-time motion control and teleoperation of the PHANToM haptic devices. [Download]



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