 |
Biography
-
Dr Huang Guangbin received the B.Sc degree in applied
mathematics and M.Eng degree in computer engineering from Northeastern
University, P. R. China, in 1991 and 1994, respectively, and Ph.D degree in
electrical engineering from Nanyang Technological University, Singapore in
1999. During undergraduate period, he also concurrently studied in Wireless
Communication department of Northeastern University, P. R. China.
From June 1998 to May 2001, he worked as Research Fellow in Singapore
Institute of Manufacturing Technology (formerly known as Gintic Institute of
Manufacturing Technology) where he has led/implemented several key
industrial projects and also built up two R&D labs: Communication
Information Technologies Lab and Mobile Communication Lab. He was the chief
architect for several significant industrial projects including (Singapore
Airlines) SATS Cargo Terminal 5 Information Tracking System. From May 2001,
he has been working as an Assistant Professor and Associate Professor
(tenured) in the School of Electrical and Electronic Engineering, Nanyang
Technological University. He was a member of the Emergent Technologies
Technical Committee of IEEE Computational Intelligence Society. He is a
member of the Committee on Membership Development of IEEE Singapore Chapter.
He serves as session chair, track chair and plenary talk chair for several
international conferences. He is currently an associate editor of
Neurocomputing, and
IEEE Transactions on
Systems, Man, and Cybernetics – Part B. He is a senior member of IEEE.
Research Interest
Extreme Learning Machine, computational intelligence theories, machine learning
applications in bioinformatics, human-computer interface, image processing, and
robot control
Selected Publications
- G.-B. Huang, Q.-Y. Zhu and C.-K. Siew, “Real-Time Learning Capability
of Neural Networks”, (in press) IEEE Transactions on Neural Networks,
vol. 17, no. 4, 2006. (Technical Report ICIS/45/2003)
- G.-B. Huang, L. Chen and C.-K. Siew, “Universal Approximation Using
Incremental Constructive Feedforward Networks with Random Hidden Nodes”,
(in press) IEEE Transactions on Neural Networks, vol. 17, no. 4, 2006.
(Technical Report ICIS/46/2003)
- G.-B. Huang, Q.-Y. Zhu and C.-K. Siew, “Extreme Learning Machine: Theory
and Applications”, to appear in Neurocomputing, 2006. (Technical Report
ICIS/03/2004)
- G.-B. Huang, Q.-Y. Zhu, K. Z. Mao, C.-K. Siew, P. Saratchandran, N.
Sundararajan, “Can Threshold Networks Be Trained Directly?” IEEE
Transactions on Circuits and Systems-II, vol. 53, no. 3, pp. 187-191,
2006
- G.-B. Huang, P. Saratchandran and N. Sundararajan, “A Generalized
Growing And Pruning RBF (GGAP-RBF) Neural Network for Function
Approximation,” IEEE Transactions on Neural Networks, vol. 16, no. 1,
pp. 57--67, 2005.[Source Codes of GGAP-RBF]
|
|