Karthik Nandakumar

Prior to joining MBZUAI, Professor Nandakumar was a research staff member at IBM Research – Singapore from 2014 to 2020 and a scientist at the Institute for Infocomm Research, A*STAR, Singapore from 2008 to 2014.

Professor Nandakumar has received several 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. He is a senior member of the IEEE.

• Ph.D. in computer science from Michigan State University, USA.
• Master’s degree in computer science from Michigan State University, USA.
• Master’s degree in statistics from Michigan State University, USA.
• Master’s degree in management of technology from the National University of Singapore, Singapore.
• Bachelor of Engineering from Anna University, India.

• Associate Editor of T-IFS from 2015 to 2019 and received the 2019 Outstanding Editorial Board Member award.
• Fitch H. Beach Outstanding Graduate Research Award (2018).
• IEEE Signal Processing Society Young Author Best Paper Award (2010).
• Best Scientific Paper Award (Biometrics Track) at ICPR (2008).
• Best paper award from the Pattern Recognition journal (2005).
• Senior Area Editor of IEEE Transactions on Information Forensics and Security (T-IFS).
• Associate Editor for Elsevier journal on Pattern Recognition.
• IEEE senior member.

Nandakumar has co-authored two books titled Introduction to Biometrics (Springer, 2011) and Handbook of Multibiometrics (Springer, 2006). He has been awarded 15 US patents and another six patent applications are under review.

• Aremu and K. Nandakumar, “PolyKervNets: Activation-free Neural Networks for Efficient Private Inference”, at IEEE Conference on Secure and Trustworthy Machine Learning (SaTML), February 2023
• Hashim, K. Nandakumar, and M. Yaqub, “Self-omics: A Self-supervised Learning Framework for Multi-omics Cancer Data”, at Pacific Symposium on Biocomputing, January 2023
• Nazarov, M. Yaqub, and K. Nandakumar, “On the Importance of Image Encoding in Automated Chest X-Ray Report Generation”, at British Machine Vision Conference (BMVC), November 2022
• Almalik, M. Yaqub, and K. Nandakumar, “Self-Ensembling Vision Transformer (SEViT) for Robust Medical Image Classification”, at 25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), September 2022
• Alkhunaizi, D. Kamzolov, M. Takáč, and K. Nandakumar, “Suppressing Poisoning Attacks on Federated Learning for Medical Imaging”, at 25^th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), September 2022
• Lyu, Y. Li, K. Nandakumar, J. Yu and X. Ma, “How to Democratise and Protect AI: Fair and Differentially Private Decentralised Deep Learning”, in IEEE Transactions on Dependable and Secure Computing, vol. 19, no. 02, pp. 1003-1017, 2022