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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
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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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