Organizers

Industry Chair

Ashish S K

Founder - Punnaryug Artvision Pvt Ltd 

Founding Director - Indian Institute of Creative Technologies

Brojeshwar Bhowmick is a Principal Scientist and head of Visual Computing and Embodied AI research area at TCS Research. He is a Fellow of the IETE, a Senior Member of the IEEE, and an Associate Editor of the Springer SNCS journal. 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 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 over 80 research papers and holds more than 50 granted patents. Two of his works have been featured by NDTV gadget 360 and TechXplore. 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.

Abhinav Dhall is an Associate Professor in the Department of Data Science & Artificial Intelligence at Monash University, Australia. He has earlier led data science at Indian Institute of Technology Ropar. He received a PhD in Computer Science from the Australian National University. His research in affective computing and deepfakes analysis domain has been well received, including the Best Student Paper at ACM Multimedia 2024, a Best Student Paper Nomination at IEEE FG 2024, the Ten-Year Technical Impact Runner-Up at ACM ICMI 2023 and Best Doctoral Consortium Paper at ACM ICMR 2013 and a Best Paper Nomination at IEEE FG 2013 awards. He has served as Workshop Co-Chair for ACM ICMI 2025, Finance Chair for ACII 2025, Workshop Co-Chair for IEEE FG 2024, Demo Co-Chair for ACM Multimedia 2024 and Program Co-Chair for ACM ICMI 2022.

Jyoti Joshi is a Senior Lecturer at Monash University in the Faculty of IT, where she is developing new initiatives in tech entrepreneurship. She is also the founder and CEO of Kroop AI, a deeptech startup recognized for its innovations in generative AI and deepfake detection. She received her PhD from the University of Canberra and has held research fellow positions at institutions including the University of Waterloo and ANU. She brings a unique blend of academic and entrepreneurial experience. Her work has been recognized through awards and fellowships, including the Google Women Techmakers program and the Fiorella De Rosis Award.

Dr. Vishakha Pareek is a Senior Scientific Officer at Technology Innovation Hub, iHub Drishti, IIT Jodhpur. Dr. Pareek completed her doctoral studies at CSIR-CEERI under the Academy of Scientific and Innovative Research (AcSIR) and developed advanced machine learning techniques for electronic nose systems. She specializes in computer vision, sensor data analysis, and immersive technologies, with a focus on healthcare and multisensory experiences. Dr. Pareek is leading projects at TIH in technology areas such as computer vision and AR-VR domain for application areas such as heritage preservation, edtech, and healthcare.

Sk Aziz Ali is an Assistant Professor in the Department of Computer Science and Information Systems (CSIS) at BITS Pilani, Hyderabad Campus. He is also affiliated as an adjunct researcher with the Augmented Vision Group at the German Research Center for Artificial Intelligence (DFKI GmbH). He received his M.S. and Ph.D. degrees with distinction from the Rhineland-Palatinate Technical University of Kaiserslautern in 2017 and 2023, respectively. Following his Ph.D., Dr. Ali worked as a postdoctoral researcher in the Computer Vision, Imaging, and Machine Intelligence (CVI²) group at the University of Luxembourg, in close collaboration with Artec3D. Dr. Ali has over five years of experience in Geometric Deep Learning and AI-assisted systems for industrial-scale Scan-to-CAD Reverse Engineering. He has published extensively in top-tier venues such as NeurIPS, IEEE CVPR, and IEEE TPAMI. His research interests include: 3D Computer Vision, Vision-Language Modeling, Machine Vision for Creative Product Design and Automation, Parametric Modeling of 3D Scenes and Shapes in VR/XR Environments.

Aalok Gangopadhyay is a visiting fellow at the Tata Institute of Fundamental Research, India. He completed his doctoral studies in Electrical Engineering at the Indian Institute of Technology, Gandhinagar, India, from where he also obtained his BTech degree. His doctoral studies was supported by the TCS Research Fellowship. His research interests include Computer Vision, Computer Graphics, Algebraic Combinatorics, and Manifold Learning.