Photo of Mohammad Biglarbegian

Faculty and Staff / Mohammad Biglarbegian

Mohammad Biglarbegian

Associate Professor
    Phone:613-520-2600, ext. 4030
    Building:Mackenzie, Room 3248
    Department:Mechanical and Aerospace Engineering
    Degrees:B.Sc. (University of Tehran), M.A.Sc. (University of Toronto), Ph.D. (University of Waterloo)


    Dr. Mohammad Biglarbegian is currently an Associate Professor with the Department of Mechanical and Aerospace Engineering, Carleton University. He was a faculty member with the School of Engineering, University of Guelph from 2011 till 2023. He is a P.Eng. in Ontario and also a senior member of IEEE.

    Dr. Biglarbegian and his team conduct advanced research in design, modeling, and developing novel algorithms for advanced mechatronics systems. More specifically, his research is towards developing novel control strategies for autonomous systems including robots/vehicles. Most recent activities are focused on using data-driven/machine learning based algorithms for mechatronics systems. Dr. Biglarbegian is currently supervising several graduate students and undergraduate students in his research lab.

    His research has been supported by several agencies and industrial partners and he has successfully made national and international collaborations. He has won several prestigious scholarships and awards. He is the recipient of the University of Guelph Research Excellence Award in 2018.

    Dr. Mohammad Biglarbegian will be teaching courses in Controls, Mechatronics, Robotics, Autonomous Systems, etc.

    Research Interests:
    Modeling, Design, and Control of Mechatronics Systems including autonomous robotics and vehicles, applications of Artificial Intelligence and Machine Learning in modeling and control particularly for mechatronics systems.

    Research Applications:
    Dr. Biglarbegian’s research focuses on developing autonomous systems in general; applications in many fields such as automation, robotics, automotive, etc.  Particularly, research with applications in many important areas such as autonomous robots, autonomous cars, automated agriculture, etc.