Mohammad Imran Chowdhury

Mohammad Imran Chowdhury is an Assistant Professor of Instruction in the Department of Computer Science at the University of Texas at San Antonio (UTSA), affiliated with the College of Sciences. His teaching focuses on Algorithms, Machine Learning, and Robotics. He holds a Ph.D. and M.S. in Computer Science from Florida State University, alongside a B.Sc. in Computer Science and Engineering from Chittagong University of Engineering and Technology.

His research interests revolve around path planning algorithms for autonomous systems, robotics navigation, and optimization in networks. Notable work includes contributions to probabilistic roadmaps (PRM) for robot path planning, obstacle avoidance strategies for unmanned vehicles, and energy-efficient protocols for mobile ad hoc networks (MANET). Recent studies emphasize real-time path replanning for underwater and surface vehicles in dynamic environments.

Chowdhury’s publications reflect a strong focus on interdisciplinary applications of computer science, spanning robotics, autonomous systems, and algorithm design. His work bridges theoretical foundations with practical implementations in military, marine, and vehicular contexts. While no specific awards are listed, his academic trajectory highlights sustained engagement in cutting-edge computational research and pedagogy.