Dr. mohammad alsharman

Biography

Dr. Mohammad Alsharman is an Assistant Professor at Khalifa University, specializing in robotics and physical AI. He received his Ph.D. in Electrical and Computer Engineering from the University of Waterloo, Canada, in 2023, with a specialization in Pattern Analysis and Machine Intelligence (PAMI). He is currently establishing a physical AI research lab within KU-CARS, focusing on enabling robots to perceive, learn, and make reliable decisions in complex real-world environments.

Before joining Khalifa University, Dr. Al-Sharman served as a Research Scientist at the University of Waterloo’s RoboHub and as a Mitacs Postdoctoral Fellow. He led the WATOnomous research group and served as Research Team Lead during its participation in the AutoDrive Challenge. His work included developing and deploying perception, planning, and decision-making systems on an autonomous research vehicle and contributing to collaborative research projects with General Motors and AirBoss.

His research has been published in leading international conferences and journals in artificial intelligence, robotics, and autonomous systems, including ICML, ICRA, the IEEE Intelligent Vehicles Symposium, and several high-impact IEEE Transactions. In recognition of his academic excellence and research contributions, Dr. Al-Sharman received the University of Waterloo Faculty of Engineering Award in 2020, in addition to multiple scholarships supporting his undergraduate and graduate studies. 

Education

• Post Doctorate, University of Waterloo, ON, Canada
• PhD, in Electrical and Computer Engineering, University of Waterloo, 2023
• MSc., Mechatronics Engineering, American University of Sharjah, 2015

Teaching

• Design of Robotic Systems (ROBO304)
• Robot Sensing (ROBO302)

Affiliated Centers, Groups & Labs

• KU Center for Autonomous Robotic Systems
• Khalifa University