Debaditya Roy

Debaditya Roy is a distinguished academic and researcher in Computer Science, specializing in Computer Vision and Machine Learning. His research focuses particularly on video analysis, action anticipation, situated reasoning, and neurosymbolic AI. He holds an Assistant Professor position at the Indian Institute of Technology, Kharagpur. google+3

His academic journey includes a PhD from the Indian Institute of Technology, Hyderabad, where his thesis focused on "Representation Learning for Action Recognition." He also holds an M.Tech from the National Institute of Technology Rourkela and a B.Tech from the West Bengal University of Technology. google+3

Before joining IIT Kharagpur, Debaditya was a Senior Scientist at the Institute of High-Performance Computing (IHPC), A*STAR, Singapore, and a Postdoctoral Researcher at Nihon University, Japan, where he contributed to the M2Smart project on smart cities. google+2

Dr. Roy is a prolific author of academic papers, with a strong publication record in top conferences and journals, particularly in areas like multi-agent trajectory prediction, facial expression recognition, collision-prone vehicle behavior detection, and action anticipation. His Google Scholar profile indicates significant academic impact with an h-index of 20 and an i10-index of 24. google+2