Karthik Nandakumar is a Research Staff Member at IBM Singapore Lab. Since April 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 biometrics. In the past, he has worked on video surveillance projects and developed robust algorithms for people counting and 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. 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 computer vision, statistical pattern recognition, biometric authentication, image processing, and machine learning. 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, and the 2010 IEEE Signal Processing Society Young Author Best Paper Award.
A computer science research professional with 10 years of industrial R&D experience in the areas of statistical pattern recognition, biometric recognition, computer vision, and machine learning. I strive to create innovative solutions for secure, convenient, and cost-effective interaction between humans and machines.
IBM Singapore Lab
Research Staff Member
7/2014 - Present
Blockchain-based digital identity management: Contributions include (i) development of methods for enhancing private key management in blockchain applications based on secure implementation of biometric cryptosystems and (ii) development of novel schemes for privacy-preserving biometric authentication of blockchain transactions
Video analytics: Contributions include development of algorithms for (i) accurate people counting in densely crowded scenes based on the fusion of detection-based and regression-based approaches - these algorithms are currently being evaluated as part of two pilot projects: one at a train station in France and the other at a theme park in Singapore, (ii) detection of traffic events (e.g., oversize/overweight vehicles, traffic accidents) from video sequences, and (iii) person re-identication based on robust multi-level fusion
Speech analytics: Developed an algorithm for automated summarization of business meetings based on prosodic analysis of audio recordings and other contextual information such as meeting agenda