Ts. Dr. Em Poh Ping received his B.Eng. (Hons) in Mechanical Engineering (Automotive) from Universiti Teknikal Malaysia Melaka (UTeM), Malaysia in 2009 and his M.Sc. in Mechanical Engineering (Automotive) from the same university in 2011, with a thesis on hardware-in-the-loop simulation of automatic vehicle steering control. He completed his Ph.D. in Engineering at Multimedia University, Melaka, Malaysia in 2019, with a thesis on a data fusion-based lane departure warning framework using fuzzy logic. He is currently an Assistant Professor in the Faculty of Engineering and Technology, Multimedia University, and a member of the Centre for Advanced Analytics and the Centre of Excellence for Artificial Intelligence. He is a Professional Technologist (Ts.) recognised by the Malaysia Board of Technologists (MBOT) and has been a registered Graduate Engineer with the Board of Engineers Malaysia (BEM) since 2010. His research focuses on vehicle safety and intelligent transportation systems, spanning vehicle dynamics, advanced driver assistance systems, lane detection, and driver drowsiness detection using deep learning and artificial intelligence, with his current work extending this to driving context classification from wearable physiological and motion signals.