Dr. Brojeshwar Bhowmick
Fellow IETE, Senior Member IEEE
Principal Scientist and Head
Visual Computing and Embodied AI research area
TCS Research, Kolkata, India
Associate Editor Springer - SNCS
Email: b.bhowmick@tcs.com; brojeshwar@ieee.org
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Dr. Brojeshwar Bhowmick is a Principal Scientist and Head of the Visual Computing and Embodied AI research area at TCS Research. With over two decades of experience, his work lies at the intersection of computer vision, computer graphics, and artificial intelligence, with a focus on building interactive 3D digital representations of the physical world for embodied agents capable of reasoning, acting, and planning.
He completed his Ph.D. at IIT Delhi, where his research on large-scale multi-view 3D reconstruction contributed to the digital preservation of Indian heritage sites. As a visiting scientist at the Graphics, Vision, and Video (GVV) group at the Max Planck Institute for Informatics, Germany, he worked on advanced techniques for 3D human digitization and 3D garment transfer. He holds a B.Tech in Computer Science from the University of Kalyani, West Bengal.
Over the years, Dr. Bhowmick has introduced several notable innovations across computer vision, graphics, and embodied AI. His early work includes multi-stage neural networks for detecting microcalcification in mammograms (2005) and an intelligent video-surveillance system employing one-class SVDD classifiers and robust tracking, later commercialized by a startup (2007). He developed ADAS modules for driver drowsiness detection and stereo-based pedestrian distance estimation (2010), and subsequently extended stereo to multi-view geometry for large-scale 3D digitization of heritage sites such as Hampi (2014–2017). His recent contributions span diverse frontier technologies: one of the earliest GenAI-based adaptable talking-face models using meta-learning (2020), an intelligent telepresence robot with autonomous mapping and social navigation (2022), a unified AI model for realistic animation of 3D loose garments of varying topology and material (2023), and a pioneering task-planning framework enabling home robots to autonomously reorganize multi-room environments (2024).
He is currently advancing next-generation 3D Generative AI and Spatial Intelligence technologies aimed at translating human imagination into reality—developing algorithms that allow users to create, edit, and manipulate 3D assets in XR using natural inputs such as sketches and voice. This work contributes directly to the future of spatial computing, enabling intuitive and accessible 3D content creation.
Dr. Bhowmick is a Fellow of the IETE, a Senior Member of the IEEE, and an Associate Editor of the Springer SN Computer Science journal. He has received multiple recognitions, including two Best Paper Awards at ICVGIP (2018, 2021), the Best Demo Award at ICDCN (2020), third place in the global OCRTOC robotics rearrangement challenge (2022), and the Patent Champion Award at TCS Research (2016). He has authored nearly 90 peer-reviewed publications and holds 60 granted patents. His research has been featured by NDTV Gadget 360 and TechXplore. He has supervised 25 undergraduate students, 15 master’s students, and currently supervises two Ph.D. candidates.
He has served on the organizing committees of ICVGIP 2020 and 2021, the ICCV SHARP workshop (2023), ISBI 2022, and the Cognitive Robotics workshop at Ro-MAN 2019, and is a regular TPC member for premier conferences including CVPR, ICLR, NeurIPS, AAAI, IJCAI, ICML, ECCV, and ICCV.
His research interests include 3D computer vision and graphics, large-scale 3D reconstruction, human digitization, human–computer interaction, AR/VR, embodied intelligence, and deep reinforcement learning.
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