Professional AssociationsProfessional Associations: IEEE Computer Society | IEEE Signal Processing Society | IEEE, Senior Member
more informationMore information: Vice President (Education), IEEE Biometrics Council | Elected Member, Information Forensics and Security Technical Committee | Associate Editor, IEEE Transactions on Information Forensics and Security
A computer science research professional with more than 10 years of industrial R&D experience in the areas of machine learning, computer vision, biometric recognition, and blockchain. Recent focus has been on developing blockchain-based solutions for diverse applications.
Karthik Nandakumar is a Research Staff Member at IBM Singapore Lab. Since 2017, he is a member of the IBM Center for Blockchain Innovation (ICBI) in Singapore and works on technologies at the intersection of blockchain and artificial intelligence. Specifically, he focuses on developing secure and privacy-preserving machine learning algorithms for the client-server (based on fully homomorphic encryption) and collaborative (based on secure multiparty computation) settings. He also works on blockchain-based applications such as Shared Know Your Customer and asset-backed tokens. From 2014 to 2016, he has worked on video surveillance projects and developed robust deep learning algorithms for accurate people counting in crowded scenes and traffic event detection. Prior to joining IBM in 2014, he was a Scientist at Institute for Infocomm Research, A*STAR, Singapore for more than six years. During this time he has worked on topics such as biometric template security and facial video analytics for customer profiling.
He received his B.E. degree (2002) from Anna University, Chennai, India, M.S. degrees in Computer Science (2005) and Statistics (2007), and Ph.D. degree in Computer Science (2008) from Michigan State University, and M.Sc. degree in Management of Technology (2012) from National University of Singapore. His research interests include machine learning, computer vision, biometric authentication, applied cryptography, and blockchain. He has co-authored two books titled Introduction to Biometrics (Springer, 2011) and Handbook of Multibiometrics (Springer, 2006). He has received a number of awards including the 2008 Fitch H. Beach Outstanding Graduate Research Award from the College of Engineering at Michigan State University, the Best Paper award from the Pattern Recognition journal (2005), the Best Scientific Paper Award (Biometrics Track) at ICPR 2008, the 2010 IEEE Signal Processing Society Young Author Best Paper Award, and the 5 Year Highest Impact Award from BTAS 2008.