Dr. Sunpreet Singh Arora joined Visa Research as a Staff Research Scientist in April 2019, where he is leading the identity and authentication research program. Prior to his current role, Sunpreet was working in the Identity and Risk Products organization at Visa, where he co-founded the Applied Authentication lab to design and develop solutions for in-store, online and in-car user authentication using cutting edge emerging technologies, such as biometrics, deep learning and cryptography. He also developed the biometrics performance specifications for the Visa Ready program, and contributed to the biometrics certification program in the Fast Identity Online Alliance (FIDO).
Sunpreet received his Ph.D. in Computer Science and Engineering from Michigan State University in 2016, and received his B.Tech. in Computer Science and Engineering, graduating with honors, from Indraprastha Institute of Information Technology-Delhi in 2012. He is a co-inventor on over 15 patent applications and has published over 15 articles in several international conferences and journals, including Transactions on Pattern Analysis and Machine Intelligence (TPAMI) Institute of Electrical and Electronics Engineers (IEEE), Transactions on Information Forensics and Security (TIFS) IEEE, International Conference on Pattern Recognition (ICPR), International Conference on Biometrics (ICB), International Conference on Biometrics: Theory, Applications and Systems (BTAS) IEEE, International Conference on Information and Communication Technologies and Development (ICTD), and others.
Dr. Arora is the recipient of several awards, including the 2016 Best Paper Award at the International Conference of the Biometrics Special Interest Group, and the 2012 Best Poster Award at the International Conference on Biometrics: Theory, Applications and Systems. In 2017, Sunpreet also received the honorable Civilian Citation from the Lansing Police Department and Meritous Service Award from the Michigan State University Police Department for providing assistance in unlocking a murder victim’s smartphone using synthetically generated 2D and 3D fingerprints of the victim.
His research has been featured in several national and international media outlets, such as Forbes, MIT Technology Review, Association for Computing Machinery (ACM) Multimedia, NASA Tech Briefs and BBC UK. He served on the program committee of International Conference on Identity, Security and Behavior Analysis (ISBA IEE) 2018, Conference on Computer Vision and Pattern Recognition (CVPR) Biometrics Workshop 2019, and is a demo co-chair of the International Joint Conference on Biometrics (IJCB) 2020.