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
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
Dr. Brojeshwar Bhowmick is a Principal Scientist and head of Visual Computing and Embodied AI research area at TCS Research. Over the past 20+ years, his research has focused on the intersection of computer vision, computer graphics, and AI to build interactive 3D digital representations of the physical world, which can be used to train embodied agents for reasoning, acting, and planning.
Dr. Bhowmick completed his doctoral studies at IIT Delhi, where his research on large-scale 3D reconstruction contributed to the digitization of Indian heritage sites. As a visiting scientist at the Graphics, Vision, and Video group at MPII in Germany, he worked on algorithms for 3D human digitization and 3D garment transfer. He earned his B.Tech in Computer Science from the University of Kalyani, West Bengal.
Over the years, he has developed novel solutions across computer vision, graphics, and embodied AI: from early work on multi-stage neural networks for microcalcification detection in mammograms (2005), to intelligent video surveillance using a one-class SVDD classifier and robust tracking deployed as a startup product (2007). I built ADAS modules for driver drowsiness detection and stereo-based pedestrian distance estimation (2010), and later extended stereo to multi-view geometry for large-scale 3D digitization of Indian heritage sites such as Hampi (2014–2017). My recent work includes one of the earliest GenAI-based adaptable talking-face models through meta-learning (2020), an intelligent telepresence robot with autonomous mapping and social navigation (2022), a unified AI method for animating 3D loose garments of varied topology and material for virtual try-on (2023), and a pioneering task-planning framework enabling home robots to reorganize multi-room environments autonomously (2024).
Currently, he is working on next-generation 3D Generative AI algorithms aimed at translating human imagination into reality (2025)—enabling users to create and edit 3D assets in XR using intuitive inputs such as sketches and voice. This line of work directly advances the future of spatial computing by making 3D content creation natural, interactive, and accessible.
Dr. Bhowmick is a Fellow of the IETE, a Senior Member of the IEEE, and an Associate Editor of the Springer SNCS journal. He has received the Best Paper Award at ICVGIP twice (2018 and 2021), the Best Demo Award at ICDCN 2020, third place in the global robotics rearrangement challenge in 2022, and the Patent Champion Award at TCS Research in 2016. He has published nearly 90 research papers and 60 granted patents. Two of his works have been featured by NDTV gadget 360 and TechXplore. He has supervised 25 B.Tech students, 15 master’s students, and is currently supervising two PhD theses.
He has served as an organizing committee member of ICVGIP 2020 and 2021, the ICCV workshop in 2023, ISBI 2022, and the cognitive robotics workshop at RoMAN 2019. He has also served as a TPC member for conferences such as CVPR, ICLR, NeurIPS, AAAI, IJCAI, ICML, ECCV, and ICCV.
His research interests include 3D computer vision and graphics, large-scale 3D reconstruction, 3D human digitization, human-computer interaction, AR/VR, Embodied AI and deep reinforcement learning.