Keynotes

Shree K. Nayar is the C. Chang Professor of Computer Science at Columbia University. He heads the Columbia Imaging and Vision Laboratory (CAVE), which develops computational imaging and computer vision systems. His research is focused on three areas - the creation of novel cameras that provide new forms of visual information, the design of physics-based models for vision and graphics, and the development of algorithms for understanding scenes from images. His work is motivated by applications in the fields of imaging, computer vision, robotics, computer graphics and human-computer interfaces.

Dr. Xiaoming Liu is a Distinguished Professor in the Department of Computer Science at the University of North Carolina at Chapel Hill, USA. His research focuses on computer vision, machine learning, biometrics, and trustworthy AI, with particular emphasis on face analysis, 3D vision, and deep learning. He has authored more than 200 scientific publications in leading journals and conferences in computer vision and pattern recognition. Dr. Liu is a Fellow of IEEE and the International Association for Pattern Recognition (IAPR), recognized for his significant contributions to biometrics and computer vision research.

Prof. R. Venkatesh Babu is a Professor and Chair in the Department of Computational and Data Sciences at the Indian Institute of Science (IISc), Bengaluru, India. His research focuses on computer vision, machine learning, video analytics, and multimedia processing. He leads the Vision and AI Lab at IISc and has made significant contributions to areas such as image/video analysis and deep learning. Prof. Babu received his Ph.D. from IISc and has previously held research positions at institutions including NTNU (Norway), INRIA (France), and NTU (Singapore).

Tapan K. Gandhi is Professor, Department of Electrical Engineering at Indian Institute of Technology Delhi and Cadence Chair Professor in Artificial Intelligence & Automation Trustee, Project Prakash Charitable Trust. His research focuses on computational neuroscience, biomedical signal and image processing, artificial intelligence, machine learning, and assistive technologies. He obtained his Ph.D. in Biomedical Engineering jointly with IIT Delhi and the Massachusetts Institute of Technology (MIT).Dr. Gandhi has contributed extensively to interdisciplinary research in healthcare technology and brain-inspired computing.