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Saumik Sakib Bin Masud, M.Sc., E.I.T

Graduate Research Assistant
The University of Kansas
Wichita, KS, United States

Dr. Saumik Sakib Bin Masud is a transportation researcher and engineer specializing in Intelligent Transportation Systems (ITS), Traffic Safety, Connected and Autonomous Vehicles (CAV), and AI-driven transportation modeling. He holds a Ph.D. in Civil Engineering from the University of Kansas and an M.Sc. in Civil Engineering from The University of Texas Rio Grande Valley, where he was honored with the Outstanding Graduate Student Award. He also earned his B.Sc. in Civil Engineering from Bangladesh University of Engineering and Technology (BUET) and holds an Engineer-in-Training (E.I.T.) certification from Texas and Kansas.
Dr. Masud is passionate about leveraging data analysis, machine learning, and deep learning techniques to enhance traffic safety, efficiency, and automation. His research focuses on modeling driver behavior, risk perception, and vehicle dynamics, with applications in Advanced Driver Assistance Systems (ADAS) and semi-automated vehicle control transitions. He has worked extensively with driving simulation studies, crash prediction models, and advanced driving assistance systems (ADAS) to enhance traffic safety and vehicle automation. Dr. Masud has also contributed to research involving car-following behavior, control transitions in semi-automated vehicles, and transportation system performance evaluation.
Dr. Masud has published research in leading transportation journals and has presented his findings to various reputed conferences. He is passionate about bridging the gap between academic research and real-world transportation solutions, contributing to the development of safe, efficient, and intelligent mobility systems for the future.

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