Nalini K. Ratha (Fellow, IEEE) received the M.Tech. degree in computer science and engineering from IIT Kanpur, Kanpur, India, in 1984, and the Ph.D. degree in computer science from Michigan State University, East Lansing, MI, USA, in 1996. He is an Empire Innovation Professor of computer science and engineering with the University at Buffalo (UB), State University of New York, Buffalo, NY, USA. He has authored more than 100 research papers in the area of biometrics. He has co-authored a popular book on biometrics entitled Guide to Biometrics and also co-edited two books entitled Automatic Fingerprint Recognition Systems and Advances in Biometrics: Sensors, Algorithms, and Systems. Dr. Ratha is a fellow of IAPR and an ACM Distinguished Scientist.
Mayank Vatsa (Fellow, IEEE) received the M.S. and Ph.D. degrees in computer science from West Virginia University, Morgantown, WV, USA. He is currently a Professor with IIT Jodhpur, India, and the Project Director of the Technology and Innovation Hub on Computer Vision and Augmented & Virtual Reality under the National Mission on Cyber-Physical Systems by the Government of India. His areas of interest are biometrics, image processing, machine learning, computer vision, and information fusion.
Richa Singh (Fellow, IEEE) received the M.S. and Ph.D. degrees in computer science from West Virginia University, Morgantown, WV, USA. She is currently a Professor at IIT Jodhpur, India. Her areas of interest are pattern recognition, machine learning, and biometrics. Dr. Singh is a fellow of IAPR and a Senior Member of the ACM. She was a recipient of the Kusum and Mohandas Pai Faculty Research Fellowship at IIIT Delhi, the FAST Award by the Department of Science and Technology, India, and several best paper and best poster awards in international conferences.
Akshay Agarwal (Member, IEEE) received a Ph.D. degree from IIIT Delhi, New Delhi, India, in 2020. He is currently a Post-Doctoral Associate with the University at Buffalo. He has also worked at Texas A&M University, Kingsville, TX, USA, as a Research Assistant Professor. His Ph.D. thesis titled Panoptic Defenses for Secure Computer Vision won the IEEE Biometrics Council Best Doctoral Dissertation Award 2021. His research focuses on the security of biometrics and computer vision algorithms, including deep learning. His areas of interest are deep learning, machine learning, computer vision, and biometrics. Mr. Agarwal received the Visvesvaraya Fellowship provided by the Government of India to support his Ph.D. thesis research work. He is a Reviewer of several journals and conferences, including Pattern Recognition, multiple IEEE Transactions, NeurIPS, CVPR, and ICML.