Chang, Yang-Lang

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Prof. Yang-Lang Chang

Professor
National Taipei Univ of Technology


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Area of Expertise: remote sensing, high performance computing, pattern recognition, hyperspectral image analysis
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Summary
Yang-Lang Chang received his BS degree in Electrical Engineering from Chung Yuan Christian University, Taiwan, in 1987; his MS degree in Computer Engineering from Syracuse University in 1993; and his Ph.D. degree in Computer Science and Information Engineering from the National Central University, Taiwan, in 2003. He started his career with NDC IBM Taiwan as a Hardware Design Engineer before joining ALCATEL as a Software Development Engineer. Dr. Chang was the Assistant Dean, College of Electrical Engineering and Computer Science, National Taipei University of Technology (Taipei Tech) and presently is the Professor in the Department of Electrical Engineering and the Public Relations Director, Office of the Secretariat, Taipei Tech. Prof. Chang is a Senior Member of IEEE, a Member of SPIE, Phi Tau Phi Scholastic Honor Society, the Chinese Society of Photogrammetry and Remote Sensing, and the Chinese Society of Image Processing and Pattern Recognition. He has been a Conference Workshop Chair, Conference Program Committee member and Session Chair for several international conferences. Dr. Chang is a member of Editorial Advisory Board of OPEN REMOTE SENSING JOURNAL. He serves as Guest Editor for the special issue on High Performance Computing in Earth Observation and Remote Sensing in the IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (JSTARS) and the special section on High-Performance Computing in Applied Remote Sensing: Part 3 in the SPIE Journal of Applied Remote Sensing (JARS). He also served as a General Secretary, and is currently the Taipei Chapter Chair of the IEEE Geoscience and Remote Sensing Society. He is the recipient of the Best Reviewer Award of the IEEE JSTARS in 2010. His research interests are in remote sensing, high performance computing and hyperspectral image analysis.
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