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Prof Chua Tat Seng
Prof Chua Tat-Seng received the B.S. and PhD degrees from the University of Leeds, UK, in 1979 and 1983, respectively. He joined the National University of Singapore in 1983, where he is now a KITHC Chair Professor at the School of Computing. He was the Acting and Founding Dean of the School of Computing during 1998-2000. He spent three years as a research staff member at the Institute of Systems Science (now I2R) in late 1980s. Prof Chua’s main research interest is in multimedia information processing, in particular, on the extraction, retrieval and question-answering (QA) of text and video information. He focuses on the use of relations between entities and external information & knowledge sources to enhance information processing. He is currently working on several multi-million-dollar projects: interactive media search, local contextual search, and event detection in movies. His group participates regularly in TREC-QA and TRECVID news video retrieval evaluations, and have won the recent A*STAR Grand Challenge on media search. Prof Chua is active in the international research community. He has organized and served as program committee member of numerous international conferences in the areas of computer graphics, multimedia and text processing. He is the conference co-chair of ACM Multimedia 2005, CIVR (Conference on Image and Video Retrieval) 2005, and ACM SIGIR 2008. He serves in the editorial boards of: ACM Transactions of Information Systems (ACM), The Visual Computer (Springer Verlag), and Multimedia Tools and Applications (Kluwer). He is the member of steering committee of CIVR, Computer Graphics International, and Multimedia Modeling conference series; and as member of International Review Panels of two large-scale research projects in Europe. Prof Chua’s main research interest is in multimedia information processing, in particular, on the extraction, retrieval, question-answering (QA) and summarization of video and text information. He is focusing on the use of relations between entities and external information & knowledge sources to enhance information processing. The overall aim is to tackle difficult research issues in these areas to facilitate practical deployment of technologies to solving real-life problems. |





