Terence SIM Mong Cheng - NUS Computing

COM3-02-50

651 61180

www.comp.nus.edu.sg/~tsim

Terence SIM

Associate Professor
Vice Dean, NUS Office of Admissions

Ph.D. (Electrical & Computer Engineering, Carnegie Mellon University)
M.S. (Computer Science, Stanford University)
S.B. (Computer Science & Engineering, Massachusetts Institute of Technology)

Explain. Demonstrate. Experiment. Inspire. The above sums up Dr. Terence Sim's teaching and research philosophy. Over the years, Dr. Sim has had the pleasure of teaching many courses - Programming Methodology, Computer Vision and Pattern Recognition, Digital Visual Effects, Theoretical Foundations of Multimedia, Analysis of Multimedia, Discrete Structures - and interacting with many talented students. He is currently teaching a graduate module called Biometrics Authentication. Dr. Sim is currently Vice Dean for Admissions at NUS, and was the Vice Dean for Communications at the School of Computing. For research, Dr. Sim explores several areas related to Biometrics and Visual Computing: Multimodal biometrics, Deepfake synthesis and detection, Facial image analysis and rendering, Continuous authentication, to name a few. He combines machine learning with physics-based modeling and graphics rendering to tackle the challenges in research. Dr Sim also provides consultancy in biometrics, which can be in the form of training, feasibility study, or technical assessment. Dr. Sim has published over 130 papers in top international journals and conferences. He is active both as Reviewer and as Senior Program Committee Member in numerous conferences. He is also an IEEE Member. He served as Second Vice President of the International Association for Pattern Recognition (IAPR) from 2021 to 2022, Editor-in-Chief of the International Journal for Pattern Recognition and Artificial Intelligence (IJPRAI) from 2020 to 2022, President of the Pattern Recognition and Machine Intelligence Association in Singapore from 2014 to 2016, and was also Vice President from 2010 to 2014. Dr. Sim also strongly believes in International Standards and served as Chairman of Workgroup 6: Cross-Jurisdiction and Societal Issues of the Biometrics Technical Committee in Singapore from 2006 to 2014. Dr. Sim considers it a blessing and privilege to have attended, and graduated from three top universities in the world: He obtained his Bachelor of Science in Computer Science and Engineering in 1990 from the Massachusetts Institute of Technology (MIT), his Master of Science in Computer Science in 1991 from Stanford University, and his Doctor of Philosophy in Electrical Engineering in 2002 from Carnegie Mellon University.

RESEARCH AREAS

Security

Authentication & Biometrics
Privacy Technologies

Artificial Intelligence

Machine Learning
Computer Vision

Media

Computer Vision & Pattern Recognition

RESEARCH INTERESTS

Biometrics: Gait, Face, Continuous Authentication, Privacy
Deepfake synthesis and detection
Machine Learning: Principled Learning, Continual Learning
Computer Vision

RESEARCH PROJECTS

RESEARCH GROUPS

TEACHING INNOVATIONS

SELECTED PUBLICATIONS

Saha, S., Perera, R., Seneviratne, S., Malepathirana, T., Rasnayaka, S., Geethika, D., ... & Halgamuge, S. (2023). Undercover Deepfakes: Detecting Fake Segments in Videos. arXiv preprint arXiv:2305.06564.
T. Pranavan, T. Sim and J. Li, "Virtual Tasks but Real Gains: Improving Multi-Task Learning," 2022 26th International Conference on Pattern Recognition (ICPR), Montreal, QC, Canada, 2022, pp. 4829-4836, doi: 10.1109/ICPR56361.2022.9956353.
B. Zhang and T. Sim, "Localizing Fake Segments in Speech," 2022 26th International Conference on Pattern Recognition (ICPR), Montreal, QC, Canada, 2022, pp. 3224-3230, doi: 10.1109/ICPR56361.2022.9956134.
S. Rasnayaka and T. Sim, "Action Invariant IMU-Gait for Continuous Authentication," 2022 IEEE International Joint Conference on Biometrics (IJCB), Abu Dhabi, United Arab Emirates, 2022, pp. 1-10, doi: 10.1109/IJCB54206.2022.10007951.
Nan Jiang, Terence Sim, and Jun Han. 2022. EarWalk: towards walking posture identification using earables. In Proceedings of the 23rd Annual International Workshop on Mobile Computing Systems and Applications (HotMobile '22). Association for Computing Machinery, New York, NY, USA, 35–40. https://doi.org/10.1145/3508396.3512883pages. DOI:https://doi.org/10.1145/3418217
S. Rasnayaka and T. Sim, "Your Tattletale Gait Privacy Invasiveness of IMU Gait Data," 2020 IEEE International Joint Conference on Biometrics (IJCB), Houston, TX, USA, 2020, pp. 1-10, doi: 10.1109/IJCB48548.2020.9304922.