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Address:School of Computer Science
and Telecommunication Engineering
JiangSu University ,ZhenJiang,JiangSu
Province 32mail.
Ph.D. Supervisor  
 
Fei Han
Name  Fei Han   
Title and Position  Professor, Ph.D. Supervisor, Dean
Research Interests  Pattern Recognition, Swarm Intelligence, Intelligent Information Processing, etc.
Office Phone  0511-8790321-533 
E-mail  hanfei@mail.ujs.edu.cn 
Curriculum Vitae

    Fei Han received his M.A. degree from Hefei University of Technology in 2003 and Ph.D. degree from University of Science and Technology of China (USTC) in 2006. He is currently a Professor of computer science at Jiangsu University. His principal research interests are intelligent computing and intelligent information processing, including pattern recognition, neural networks, particle swarm optimization, and bioinformatics.
    He has published over 40 technical papers at famous international journals and conferences including Information Sciences, IEEE/ACM TCBB, IJNS, PlosOne, Neurocomputing, AMC, IJPRAI, IJIS, IJCNN, WCCI etc.
Now Dr. Han is a member of International Neural Network Society (INNS), China Computer Federation (CCF), Computer Federation of Jiangsu Province, Professional Committee of Jiangsu Artificial Intelligence.

Teaching and research achievements

GRANTS
1) National Natural Science Fund of China (No. 61572241).CNY 760,000 (Leader)
2) National Natural Science Fund of China (No. 61271385). CNY 750,000 (Leader)
3) National Natural Science Fund of China (No. 60702056). CNY 200,000 (Leader)
4) Natural Science Fund of Jiangsu Province (No. BK2009197). CNY 100,000 (Leader)
5) Special Fund of Science Research for President Award of Chinese Academy of Sciences. CNY 100,000 (Leader)

SELECTED PAPERS

1) Fei Han, Chun Yang, Ya-Qi Wu, Jian-Sheng Zhu, Qing-Hua Ling, Yu-Qing Song, De-Shuang Huang, “A gene selection method for microarray data based on binary PSO encoding gene-to-class sensitivity information”, IEEE/ACM Transactions on Computational Biology and Bioinformatics, DOI: 10.1109/TCBB.2015.2465906. (In press)
2) Fei Han, Wei Sun, Qing-Hua Ling, “A novel strategy for gene selection of microarray data Based on gene-to-class sensitivity information”, PLoS ONE 9(5): e97530. doi:10.1371/journal.pone.0097530,2014.
3) Fei Han, Qing Liu, “A diversity-guided hybrid particle swarm optimization based on gradient search”, Neurocomputing, vol. 137, pp. 234-240, 2014.
4) Fei Han, Jiansheng Zhu, “Improved particle swarm optimization combined with backpropagation for feedforward neural networks”, International Journal of Intelligent Systems, vol. 28, no.3, pp. 271-288, 2013.
5) Fei Han, Qing-Hua Ling, De-Shuang Huang, “Modified constrained learning algorithms incorporating additional functional constraints into neural networks”, Information Sciences, vol 178, no.3, pp 907-919, 2008.
6) Fei Han, De-Shuang Huang, Zhi Hua Zhu, Tiehua Rong, “The forecast of the postoperative survival time of patients suffered from non-small cell lung cancer based on PCA and extreme learning machine”, International Journal of Neural Systems, vol. 16, no. 1, pp.39-46, 2006.
7) Fei Han, De-Shuang Huang,“Improved extreme learning machine for function approximation by encoding a priori information”, Neurocomputing, vol. 69, no. 16-18, pp. 2369-2373 , 2006.

 

 
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