Sanka Rasnayaka

I am a Lecturer at the School of Computing, National University of Singapore.

My teaching philosophy is to facilitating self-learning by guiding the students thinking toward the final learning outcome, rather than explaining to them how to get there. I enjoy teaching fundamental courses in Computer Science like Discrete Structures, Programming, Algorithms and specialized courses in AI, Machine Learning and Computer Vision.

My research interests are on Continuous Authentication for modern personal devices, on-body gait biometric, privacy and human perceptions. If you are interested in joining research in these fields or collaborations feel free to contact me.

Experience

Education

Selected Publications

• [1] An empirical study on usage and perceptions of llms in a software engineering project, LLM4Code, ICSE 2024. (pdf)
• [2] Spatio-Temporal Dual-Attention Transformer for Time-Series Behavioral Biometrics, IEEE TBIOM, 2024 (paper)
• [3] Undercover Deepfakes: Detecting Fake Segments in Videos. Workshop and Challenge on DeepFake Analysis and Detection at ICCV 2023. (pdf)
• [4] BehaveFormer: A Framework with Spatio-Temporal Dual Attention Transformers for IMU enhanced Keystroke Dynamics. In proceedings of the International Joint Conference on Biometrics(IJCB), 2023. (pdf)
• [5] Re-evaluating Keystroke Dynamics for Continuous Authentication. In proceedings of the International Conference on Advanced Research in Computing (ICARC), 2023. (pdf)
• [6] DALLE-URBAN: Capturing the urban design expertise of large text to image transformers. In proceedings of the International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2022. (pdf)
• [7] Actional invariant IMU Gait for Continuous Authentication. In proceedings of the International Joint Conference on Biometrics(IJCB), 2022. (pdf)
• [8] Does a Face Mask Protect My Privacy?: Deep Learning to Predict Protected Attributes from Masked Face Images. In proceedings of the Australasian Joint Conference on Artificial Intelligence (AJCAI) 2022. (pdf)
• [9] MFR 2021: Masked face recognition competition In proceedings of the International Joint Conference on Biometrics(IJCB), 2021. (pdf)
• [10] Multi-dataset benchmarks for masked identification using contrastive representation learning. In proceedings of the Digital Image Computing: Techniques and Applications (DICTA), 2021. (pdf)
• [11] Your Tattletale Gait, Privacy Invasiveness of IMU Gait Data. In proceedings of the International Joint Conference on Biometrics(IJCB), USA, 2020. (pdf)
• [12] Making the most of what you have! Profiling biometric authentication on mobile devices. In proceedings of the International Conference on Biometrics (ICB), Crete, Greece, 2019. (pdf)
• [13] Who wants Continuous Authentication on Mobile Devices?, In proceedings of the Biometric Techniques Applications and Systems (BTAS), 2018. (pdf)

• [14] Towards Wider Adoption of Continuous Authentication on Mobile Devices, Securing Social Identity in Mobile Platforms, Springer, 2020.

Awards & Recognitions

• Annual Teaching Excellence Award, NUS - 2024
• Faculty Teaching Excellence Award, School of Computing - 2024
• NUS Honor List of Student Tutors - Awarded for AY 2020-21
• NUS Honor List of Student Tutors - Awarded for AY 2018-19
• NUS Research Scholarship - 2017-2021
• UoM Dean’s List of Academic excellence - All Semesters