Nalini Ratha

Nalini Ratha is a SUNY Empire Innovation Professor and Professor in the Department of Computer Science and Engineering at the University at Buffalo. She is affiliated with the School of Engineering and Applied Sciences. Her research focuses on computer vision, artificial intelligence, biometrics, and ensuring fairness and trust in AI systems.

Education: PhD in Computer Science (Michigan State University), MTech in Computer Science and Engineering (IIT Kanpur), and BTech in Electrical Engineering (IIT Kanpur).

Research interests include privacy-preserving AI, FHE (Fully Homomorphic Encryption) applications, adversarial defense, and ethical AI. Her work addresses challenges like secure biometric systems, deepfake detection, and medical data privacy.

Notable contributions include developing FHE-based frameworks for secure inference, enhancing AI fairness, and combating identity fraud through biometric analysis.

• Awards: NAI Fellow (2021), ACM Distinguished Member (2015), IAPR Fellow (2008), and IEEE Fellow (2007).

Her publications explore cutting-edge topics like encrypted medical diagnostics, secure UAV navigation, and robust deep learning models resistant to adversarial attacks.