Chang-tsun Li
Professor
School of Computing and Methamatics
Charles Sturt University
Australia
Biography
Chang-Tsun Li received the BEng degree in electrical engineering from National Defence University (NDU), Taiwan, in 1987, the MSc degree in computer science from U.S. Naval Postgraduate School, USA, in 1992, and the PhD degree in computer science from the University of Warwick, UK, in 1998. He was an associate professor of the Department of Electrical Engineering at NDU during 1998-2002 and a visiting professor of the Department of Computer Science at U.S. Naval Postgraduate School in the second half of 2001. He was a professor of the Department of Computer Science at the University of Warwick, UK, until Dec 2016. He is currently a professor of the School of Computing and Mathematics, Charles Sturt University, Australia. His research interests include multimedia forensics and security, biometrics, data mining, machine learning, data analytics, computer vision, image processing, pattern recognition, bioinformatics, and content-based image retrieval. He is currently Associate Editor of the EURASIP Journal of Image and Video Processing (JIVP) and Associate of Editor of IET Biometrics. He has involved in the organisation of a number of international conferences and workshops and also served as member of the international program committees for several international conferences. He was the Lead and PI of the international joint project entitled Digital Image and Video Forensics (acronym: DIVEFOR) funded through the Marie Curie Action under the EU's Seventh Framework Programme (FP7) from June 2010 to May 2014. He is currently the Lead and PI of the EU Horizon 2020 project, entitled Computer Vision Enabled Multimedia Forensics and People Identification
Research Interest
machine intelligence, security and computer vision with special interests in Multimedia Forensics & Security, Biometrics, Image Processing, Computer Vision, Content-Based Image Retrieval, Pattern Recognition, Bioinformatics, Machine Learning, Data Mining, Data Analytics