Homanga Bharadhwaj
Department of Computer Science
Johns Hopkins University
About Professor Homanga Bharadhwaj
Homanga Bharadhwaj joins the Department of Computer Science at Johns Hopkins University, a world-renowned institution celebrated for its leadership in research and innovation. The Johns Hopkins Computer Science department provides a dynamic and collaborative academic environment, consistently ranked among the nation's best for its pioneering work in artificial intelligence, data science, and robotics. As a member of the university's prestigious Data Science and AI Institute and the Laboratory for Computational Sensing and Robotics, Professor Bharadhwaj is positioned at the forefront of interdisciplinary discovery, contributing to a culture of excellence that defines this top-tier research university.
🧬Research Focus
Professor Bharadhwaj's research is centered on developing next-generation embodied AI systems capable of assisting humans in everyday settings. His work in robotics, computer vision, and machine learning focuses on creating agents that learn from human motion understanding and multimodal perception to achieve reliable robot manipulation. By leveraging data from natural human environments, his research aims to build scalable and generalizable models, moving beyond task-specific programming. This pursuit in robot learning and embodied intelligence holds significant promise for breakthroughs in assistive technology, advanced manufacturing, and intelligent systems that can safely interact in human-centric spaces.
🎓Student Fit & Career
For prospective PhD students and graduate researchers, Professor Bharadhwaj offers rigorous academic mentorship at the intersection of several cutting-edge fields. Ideal candidates will possess a strong foundation in machine learning, computer vision, or robotics, coupled with a passion for translating theoretical models into physical systems. Students will gain expertise in areas like multimodal perception and human-centered AI, preparing them for high-impact careers in both academia and industry, including roles in leading tech research labs, autonomous systems development, and advanced AI applications. This research group is designed for those eager to tackle fundamental challenges in making intelligent machines more adaptable and useful in the real world.
Research Areas
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