Regular biography
Sanka Rasnayaka is a Lecturer (Educator Track) in the Department of Computer Science at the National University of Singapore. Her research areas include Artificial Intelligence, Biometrics, Continuous Authentication, and Applications of AI and CV. She holds a PhD in Computer Science from the School of Computing, National University of Singapore, and a BSc (Hons) in Computer Science and Engineering from the University of Moratuwa, Sri Lanka. She teaches courses such as CS1010S, CS1101S, CS1231S, and CS2040. She has received several teaching awards, including the Faculty Teaching Excellence Award (FTEA) in 2025 and 2024, and the Annual Teaching Excellence Award (ATEA) in 2024.
Scholar-generated biography
Sanka Rasnayaka is a Lecturer at the School of Computing, National University of Singapore, specializing in Computer Vision, Machine Learning, and Biometrics. His research focuses on developing advanced techniques for biometric authentication, including IMU-based gait analysis, keystroke dynamics, and masked face recognition. He also explores the application of self-supervised vision transformers in malware detection and the use of diffusion models for animating stylized avatars. His work addresses challenges in privacy, robustness, and explainability in AI systems, particularly in real-world scenarios such as mobile behavioral biometrics and continuous authentication. Rasnayaka's research bridges theoretical advancements with practical applications in security and human-computer interaction.