Scholar
Kenneth K.M. Lam
Google Scholar ID: c3XRJtEAAAAJ
The Hong Kong Polytechnic University
Citations & Impact
Citations
5,913
H-index
36
i10-index
121
Publications
20
Co-authors
0
Contact
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Honorable Mention of the Annual Pattern Recognition Society Award for an outstanding contribution to the Pattern Recognition Journal in 2004. Best Paper Award at the International Conference on Neural Networks and Signal Processing in 2008. Director-Student Services and Director-Membership Services of the IEEE Signal Processing Society between 2012 and 2014, and 2015 and 2017, respectively. VP-Member Relations and Development and VP-Publications of the Asia-Pacific Signal and Information Processing Association (APSIPA) between 2014 and 2017, and 2017 and 2021, respectively. Associate Editor of IEEE Trans. on Image Processing between 2009 and 2012.
Research Experience
- Lecturer at the Department of Electronic Engineering of The Hong Kong Polytechnic University from 1990 to 1993. Rejoined as an Assistant Professor in October 1996. Became Associate Professor in 1999 and has been a professor since 2010. Currently, also an Associate Dean of the Faculty of Engineering. Actively involved in professional activities, including serving on organizing committees or program committees of many international conferences such as ICASSP'03, ISIMP 2004, ISPACS 2005, ICIP 2010, PCM 2010, and ICSPCC 2012.
Education
- Received an Associateship in Electronic Engineering with distinction from The Hong Kong Polytechnic University (formerly called Hong Kong Polytechnic) in 1986. Awarded M.Sc. degree in communication engineering from the Department of Electrical Engineering, Imperial College of Science, Technology and Medicine, England, in 1987. Completed Ph.D. studies at the University of Sydney, Australia, in August 1996, winning an Australia Postgraduate Award and IBM Australia Research Student Project Prize.
Background
- Research Interests: Human face analysis and recognition, image and video processing, computer vision, activity recognition, 3D reconstruction. Teaching Areas: Signal processing, computer vision, pattern recognition, computational intelligence.
Co-authors