Homanga Bharadhwaj is an incoming assistant professor in the Department of Computer Science, a member of the Data Science and AI Institute, and a member of the Laboratory for Computational Sensing and Robotics at the Johns Hopkins University.
His research goal is to develop embodied AI systems capable of helping us with humdrum everyday activities in a reliable, compliant, and scalable manner, without requiring significant robot-specific data collection or task-specific heuristics. Toward this goal, a major thrust of his current research lies in exploring how to extract and predict both high-level semantic cues and low-level motions cues from human data in natural environments.
Bharadhwaj was named a Future Leader in Robotics and AI by the University of Maryland in 2025 and was selected for the AI Mentor Fellowship at Meta in 2022. His research has been recognized with a Best Conference Paper Award and a finalist placement for Best Paper in Robot Manipulation at the 2024 IEEE International Conference on Robotics and Automation, as well as an Outstanding Presentation Award at the 2023 Conference on Neural Information Processing Systems Robot Learning Workshop. Bharadhwaj’s work has also been covered by media outlets including TechCrunch, IEEE Spectrum, and VentureBeat. He is currently an associate editor for IEEE Robotics and Augmentation Letters and is on the program committee of several machine learning, robotics, and computer vision conferences.
Bharadhwaj obtained a PhD from Carnegie Mellon University in 2025, and before that an MSc from the University of Toronto and a BTech from the Indian Institute of Technology Kanpur. He is currently serving as a research scientist on the Fundamental AI Research team at Meta before joining Johns Hopkins as a full-time, tenure-track assistant professor in Fall 2026.