معرفی
Aniket Bera is an Associate Professor in the Department of Computer Science at Purdue University and an Adjunct Professor at the University of Maryland, College Park. He holds a Ph.D. from the University of North Carolina at Chapel Hill (2017). His research focuses on Affective Computing, Computer Graphics (AR/VR), Social Robotics, Autonomous Agents, and AI-driven mental health solutions. He founded Project Dost and co-leads initiatives like the IEEE RA-L Senior Editor role and ACM SIGGRAPH MIG 2022 Conference Chair.
Education: Ph.D. in Computer Science from UNC Chapel Hill (2017). Previous roles include Research Assistant Professor at UNC Chapel Hill and collaborations with Disney Research, Intel, and CDAC. His work spans interdisciplinary areas combining machine learning, computational psychology, and physically-based simulation to model human behavior.
Research highlights include emotion-aware social robotics, real-time 3D scene reconstruction (e.g., Scenethesis), and multimodal affective analysis. Over 65+ publications (1,900+ citations) with awards at top graphics/VR conferences. Collaborates with UMD Baltimore Medical School on AI for mental health diagnostics. Featured in CBS, WIRED, Forbes, and others.
Labs and teams: Active in Purdue's DSAI lab and affiliated with industry research partners like Disney and Intel. Advises multiple M.S. and Ph.D. students. Current projects include ARTEMIS (AI-driven emergency medical systems) and DanceAnyWay (beat-guided 3D dance synthesis).
