James Tin-Yau KWOK () Associate Professor Computer Science and Engineering

Biography

Dr. Kwok received his B.Sc. degree in Electrical and Electronic Engineering from the University of Hong Kong and his Ph.D. degree in computer science from the Hong Kong University of Science and Technology. He was a consultant at the Lucent Technologies Bell Laboratories in Murray Hill, New Jersey. He then joined the Department of Computer Science, Hong Kong Baptist University as an Assistant Professor. He returned to the Hong Kong University of Science and Technology in 2000 and is now an Associate Professor in the Department of Computer Science and Engineering. He is also an Adjunct Professor at Nanjing University and Hunan University.

Currently, Dr. Kwok is serving as Associate Editors for the IEEE Transactions on Neural Networks and the Neurocomputing journal.

PhD studentships and RA vacancies AVAILABLE: I am looking for self-motivated PhD students and research assistants interested in machine learning. Please contact me for details.

Research

Current Research Interests

Kernel methods, Machine learning, Pattern recognition, Artificial neural networks

Applications: Speech processing, Computer vision and image processing, pervasive computing

List of publications

Awards

IEEE Transactions on Neural Networks Outstanding 2004 Paper Award

2008 Natural Science Award (Class II), Ministry of Education, People's Republic of China

Research Group

Artificial Intelligence

Research Students

Wenliang Zhong (PhD student)

Yufeng Li (PhD student in Nanjing University, co-supervised with Zhihua Zhou)

Rovenna Chu (MPhil student)

Past Students

Kai Zhang (PhD 2008; Lawrence Berkeley National Laboratory, USA)

Ivor Tsang (PhD 2007, MPhil 2003; Nanyang Technological University, Singapore)

Pak-Ming Cheung (MPhil 2006; Microsoft, China)

Calvin Chu (MPhil 2005; Hong Kong Bank, Hong Kong)

Teaching

(Fall 2009) COMP344: Image Processing

(Fall 2009) COMP621O: Kernel Methods in Machine Learning

COMP171: Data Structures and Algorithms

COMP221: Fundamentals of Artificial Intelligence

COMP271: Design and Analysis of Algorithms

COMP300Y: Introduction to Machine Learning

COMP327: Introduction to Pattern Recognition

COMP328: Machine Learning

COMP522: Machine Learning

COMP621I: Advanced Topics in Machine Learning

Other Links

Matrix Reference Manual, MathWorld, Wikipedia, Alpha, Google

HKUST: IEEE Explore, SCI, JSTOR, E-journals, Library, Intranet for staff , HKUST Webmail, CSD Webmail, FYP

More WWW sites