His core research interests are in Affective Computing, Computer Graphics (AR/VR, Augmented Intelligence, Multi-Agent Simulation), Social Robotics, Autonomous Agents, Cognitive modeling, and planning for intelligent characters.

He has advised and co-advised multiple M.S. and Ph.D. students. He has authored over 70+ papers, 2000+ citations and his work has won multiple awards at top Graphics/VR conferences. He also works with the University of Maryland at Baltimore Medical School to build algorithms and systems to help therapists and doctors detect mental health and social anxiety issues (AI + Mental Health). His research involves novel combinations of methods and collaborations in machine learning, computational psychology, computer graphics, and physically-based simulation to develop real-time computational models to learn human behaviors. Dr. Bera has previously worked in many research labs, including Disney Research, Intel, and the Centre for Development of Advanced Computing.