Tony F. Chan

President and Professor
Mathematics & Computer Science and Engineering
Peking University-HKBU Joint Research Institute for Applied Mathematics
Hong Kong

Professor Mathematics
Biography

"Prof Tony Chan is currently President of the Hong Kong University of Science and Technology. He was previously Assistant Director of the US National Science Foundation (NSF) in charge of the Mathematical and Physical Sciences Directorate, which is the largest directorate of the NSF. In this position, he guides and manages research funding of almost HK$10 billion a year in astronomy, physics, chemistry, mathematical science, material science, and multidisciplinary activities. Prof Chan’s scientific background is in Mathematics, Computer Science and Engineering. He received his BS and MS degrees in Engineering from the California Institute of Technology (Caltech) and his PhD in Computer Science from Stanford University. He pursued postdoctoral research at Caltech as Research Fellow, and taught Computer Science at Yale University before joining UCLA as Professor of Mathematics in 1986. He was appointed Chair of the Department of Mathematics in 1997. He also holds honorary joint appointments with the University’s BioEngineering Department and the Computer Science Department. Prof Chan was one of the principal investigators who made the successful proposal to the NSF to form the Institute for Pure and Applied Mathematics (IPAM) at UCLA, with a vision to promote collaborations between the mathematical sciences with the general scientific and engineering disciplines. He served as IPAM’s Director from 2000 to 2001.Prof Chan had been in the NSF position since October 2006 upon taking temporary leave from the University of California at Los Angeles (UCLA), where he was Dean of Physical Sciences from July 2001 overseeing over 200 faculty members, 700 graduate students, 700 under-graduate majors, and about HK$550 million in annual federal research support. Prof Chan’s scientific background is in Mathematics, Computer Science and Engineering. He received his BS and MS degrees in Engineering from the California Institute of Technology (Caltech) and his PhD in Computer Science from Stanford University. He pursued postdoctoral research at Caltech as Research Fellow, and taught Computer Science at Yale University before joining UCLA as Professor of Mathematics in 1986. He was appointed Chair of the Department of Mathematics in 1997. He also holds honorary joint appointments with the University’s BioEngineering Department and the Computer Science Department. Prof Chan was one of the principal investigators who made the successful proposal to the NSF to form the Institute for Pure and Applied Mathematics (IPAM) at UCLA, with a vision to promote collaborations between the mathematical sciences with the general scientific and engineering disciplines. He served as IPAM’s Director from 2000 to 2001. Prof Chan is an active member of many scientific societies, including Fellow of the Society of Industrial and Applied Mathematics (SIAM) where he had served on both the Board of Trustees and the Council, as well as Member of the American Mathematical Society, and the Institute of Electrical and Electronic Engineers (IEEE). He has served on the editorial boards of many journals in mathematics and computing, including SIAM Review, SIAM Journal of Scientific Computing, and the Asian Journal of Mathematics, and is one of the three Editors-in-Chief of Numerische Mathematik. He co-wrote the proposal to start a new SIAM Journal of Imaging Sciences and serves on its inaugural editorial board. He formerly served on the NSF Mathematical and Physical Sciences Advisory Committee and the US National Committee on Mathematics, and represented the US to the 2006 General Assembly of the International Mathematics Union in Spain. He had served as founding co-Director of the Center for Computational Biology at UCLA, an interdisciplinary center funded by the US National Institutes of Health (NIH) under the NIH Roadmap initiative, until he had to relinquish that role to take the position at NSF."

Research Intrest

"Image Processing Group Homepage. Research Group Members: current/former students & postdocs."

List of Publications
B Song, T Chan (2002) A fast algorithm for level set based optimization. UCLA CAM Report 02-68.
XC Tai, T Chan (2004) A survey on multiple level set methods with applications for identifying piecewise constant functions. International J Numer Anal Modelling 1: 25–48.
Lui LM, Thiruvenkadam S, Wang Y, Chan T, Thompson P (2008) Optimized conformal parameterization of cortical surfaces using shape based matching of landmark curves. Med Image Comput Comput Assist Interv 11: 494-501.