Vice Dean (Industry Relations)
School of Computing, NUS
NUS Artificial Intelligence Centre at Suzhou
I am an associate professor of practice in the School of Computing, National University of Singapore.
My research interest is mainly in geometrical computer vision such as 3D reconstruction from images. I am also interested in sports video analytics, assistive devices for the handicapped, audio processing, and image/audio applications on mobile devices.
I obtained my Ph.D. from
My bachelor and master degree education was obtained from National University of Singapore, in 1992 and 1988 respectively.
I was with the defence R&D for the Ministry of Defence of Singapore for many years before joining NUS.
I also served a year in Media Development Authority as a Program Director in the Interactive Digital Media R&D Programme Office
Prior to joining NUS, I was running the Signal Processing Lab, DSO National Laboratories Singapore.
I am currently serving as the Vice Dean (Industry Relations) of NUS School of Computing. I am also serving as Deputy Director of NUS Artificial Intelligence Centre at Suzhou.
Kou, C.K.L., HK Lee, TK Ng, J Sanz. Theoretical and Experimental Analysis on the Generalizability of Distribution Regression Network. Neurocomputing 401, pp. 257-270, Aug 2020
Kou, C.K.L., Lee, H.K., Chang, E.C., Ng, T.K., Enhancing Transformation-based Defenses Against Adversarial Attacks with a Distribution Classifier. International Conference on Learning Representations (ICLR), April 2020.
C. K. L. Kou, H. K. Lee, and T. K. Ng, “A compact network learning model for distribution regression,” Neural Networks, vol. 110, pp. 199–212, Feb 2019.
Wei Wang, Jinyang Gao, Meihui Zhang, Sheng Wang, Gang Chen, Teck Khim Ng, Beng Chin Ooi, Jie Shao, Moaz Reyad, "Rafiki: Machine Learning as an Analytics Service System," Proceedings of VLDB 12(2): 128-140 (2018)
Yin Li & Teck Khim Ng, "Where is that Pixel in the Oblique-View Video?" in Proceedings of IEEE Winter Conference on Applications in Computer Vision (WACV), Lake Placid, NY, USA, 7-9 March, 2016.
Introduction to Media Computing
It is a course on learning how to do signal processing on audio and visual signals.
Feature Engineering for Machine Learning
It is a course on engineering features for audio, image, text and graph data in the context of machine learning.
School of Computing Teaching Honour roll AY2017/18
NUS Annual Teaching Excellence Award (ATEA) AY2016/17
School of Computing Teaching Excellence Award (FTEA) AY2016/17
School of Computing Teaching Excellence Award (FTEA) AY2015/16
School of Computing Teaching Excellence Award (FTEA) AY2014/15
School of Computing
National University of Singapore
15 Computing Drive
Building Com3 #02-08