De-Shuang Huang

BEng, MEng, PhD, SMIEEE, Professor, PhD Advisor

Tel:086-0551-5592751 (office) 

Fax:086-0551-5592751

Contact Information:

Institute of Intelligent Machines 
Chinese Academy of Sciences
P.O.Box.1130, Hefei, Anhui 230031, China
E-mail:dshuang@iim.ac.cn huangdeshuang@yahoo.com

Brief Technical Profile:

De-Shuang Huang was born on 11 January 1964. He received the B.Sc., M.Sc. and Ph.D. degrees all in electronic engineering from the Institute of Electronic Engineering, Hefei, China, National Defense University of Science and Technology, Changsha, China (Advisor: Prof. Dejun Zhu) and Xidian University, Xian, China (Advisor: Prof. Zheng Bao, Academician), in 1986,1989 and 1993, respectively. During July 1993-July 1995, he was a postdoctor research fellow in Beijing Institute of Technology, Beijing, China (Advisor: Prof. Erke Mao, Academician). During July 1995-July 1997, He was a postdoctor research fellow in National Key Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China (Advisor: Prof. Songde Ma). From August 1997 to March 2000, he worked in Beijing Institute of System Engineering, Beijing, China. In September 2000, he entered into Hefei Institute of Intelligent Machines (IIM)/CAS as the Recipient of “Hundred Talents Program of CAS”. From August 21-Sepetember 21, 2003, he visited the George Washington University as visiting professor, Washington DC, USA;From April 20-July 20, 2006, he visited the Queen’s University of Belfast, as visiting professor, UK, and during the period, he also visited Heriot-Watt University, UK and the University of Birmingham, UK; From March 4-11, 2007, he visited the University of Ulsan, Korea; From October 26-November 26, 2007, he visited the Inha University, as visiting professor, Korea. At present, he is the head of Intelligent Computing Lab/IIM/CAS, Professor and PhD Advisor in the University of Science and Technology of China (Hefei), and Professor of Graduate School of the Chinese Academy of Sciences.

RESEARCH INTERESTS:

Pattern Recognition, Biological and Artificial Neural Networks, Evolutionary Computation and Bioinformatics.

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