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Abstract

Tarek Mohammad Editor at IgMin Research

We encourage collective research endeavors that enrich knowledge across multiple scientific areas.

Biography

Dr. Tarek Mohammad is an accomplished mechanical engineer with extensive experience in academia and industry. He earned his Ph.D. in Mechanical and Industrial Engineering from the University of Toronto in 2021, focusing his thesis on "One-Dimensional MEMS Optical Phased Array Systems Based on Surface-Micromachined Silicon Mirrors for Scanning LiDAR Applications." Prior to this, he completed his Master of Engineering Science in Mechanical and Materials Engineering at the University of Western Ontario in 2010 and his Bachelor of Science in Mechanical Engineering from the Chittagong University of Engineering and Technology in 2007.

Dr. Mohammad's professional career includes serving as an Assistant Professor of Mechanical Engineering at Purdue University Fort Wayne from August 2022 to July 2024. In this role, he developed and instructed undergraduate courses in First Year Engineering, Dynamics, Controls, Mechatronics, Robotics, and Automation. He also mentored capstone senior design projects and promoted active learning through technology integration.

Before joining academia, Dr. Mohammad worked as a LiDAR Component Engineer at Detroit Engineered Products Inc., where he integrated LiDAR sensors into Stellantis (Chrysler) vehicles and developed functional requirements based on various use cases. His research interests encompass Micro-Electromechanical Systems (MEMS), mechatronics, robotics, and LiDAR systems.

Throughout his career, Dr. Mohammad has been recognized with several honors, including the Natural Sciences and Engineering Research Council (NSERC) Doctoral Scholarship and the Doctoral Completion Award from the University of Toronto. He has contributed to numerous peer-reviewed journals and conferences, with a total of 294 citations to his work.

Research Interest

Micro-Electromechanical Systems (MEMS), Mechatronics and Robotics, LiDAR Systems and Autonomous Vehicles

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