CHEN Tsuhan

Distinguished Professor
Deputy President (Research and Technology)
Ph.D. (Electrical Engineering, California Institute of Technology, Pasadena, California)
M.S. (Electrical Engineering, California Institute of Technology, Pasadena, California)
B.Sc. (Electrical Engineering, National Taiwan University)
COM1-03-04
651 64544

Research Areas

  • Media
  • Artificial Intelligence

Research Interests

  • Computer Vision and Pattern Recognition
  • Multimedia Coding and Retrieval
  • Biometric Authentication

Profile

Prof. Chen Tsuhan is the Deputy President (Research and Technology) and Distinguished Professor at National University of Singapore (NUS). He also serves as the Chief Scientist of AI Singapore, a national programme in artificial intelligence. Prof. Chen is a renowned expert in pattern recognition, computer vision and machine learning. He joined NUS from Cornell University, Ithaca, New York, United States, where he had been the David E. Burr Professor of Engineering since 2009. From 2009 to 2013, when he served as Director, School of Electrical and Computer Engineering at Cornell, he promoted the School to top ranking positions and launched several initiatives to boost innovation as well as foster research and teaching excellence. He also directed the Advanced Multimedia Processing Laboratory. From 1997 to 2008, Prof. Chen was a Professor with the Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA, where he served as the Associate Department Head from 2007 to 2008. Prof. Chen was the Cheng Tsang Man Chair Professor and Dean of the College of Engineering (CoE) at the Nanyang Technological University (NTU) from 2015 to 2017. He championed faculty recruitment and pioneered support schemes at the NTU CoE to encourage inter-school multidisciplinary programmes, aligned with the domain areas identified in RIE2020. Prof. Chen was appointed the Editor-in-Chief for IEEE Transactions on Multimedia in 2002-2004. He was elected to the Board of Governors, 2007-2009, and a Distinguished Lecturer, 2007-2008, both with the IEEE Signal Processing Society. Prof. Chen received the Charles Wilts Prize for outstanding independent research at the California Institute of Technology in 1993. He was a recipient of the US National Science Foundation CAREER Award from 2000 to 2003. He received the Benjamin Richard Teare Teaching Award in 2006, the Eta Kappa Nu Award for Outstanding Faculty Teaching in 2007, both at the Carnegie Mellon University, and the Michael Tien Teaching Award in 2014 at the Cornell University. Prof. Chen has published more than 300 technical papers and holds close to 30 US patents. He is a member of the Phi Tau Phi Scholastic Honor Society, a Fellow of IEEE, and a Fellow of the Institute of Engineers, Singapore. He earned his PhD degree in electrical engineering from the California Institute of Technology, Pasadena, California, USA, in 1993.

Current Projects

  • AI Singapore

Selected Publications

  • An empirical study of language CNN for image captioning J Gu, G Wang, J Cai, T Chen International Conference on Computer Vision (ICCV) 2017

  • Querying Users as Oracles in Tag Engines for Personalized Image Tagging Amandianeze Nwana, T Chen IEEE MultiMedia, 2017

  • In the shadows, shape priors shine: using occlusion to improve multi-region segmentation Y Kihara, M Soloviev, T Chen IEEE Conference on Computer Vision and Pattern (CVPR) 2016

  • Robust low-dose CT perfusion deconvolution via tensor total-variation regularization  R Fang, S Zhang, T Chen, PC Sanelli IEEE Transactions on Medical Imaging 2015

  • 3D reasoning from blocks to stability Z Jia, AC Gallagher, A Saxena, T Chen IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI) 2015

  • You are here: Mimicking the human thinking process in reading floor-plans H Chu, D Ki Kim, T Chen IEEE International Conference on Computer Vision (ICCV) 2015

  • A mixed bag of emotions: Model, predict, and transfer emotion distributions KC Peng, T Chen, A Sadovnik, AC Gallagher IEEE Conference on Computer Vision and Pattern (CVPR) 2015

  • Kinship classification by modeling facial feature heredity R Fang, AC Gallagher, T Chen, A Loui IEEE International Conference on Image Processing (ICIP), 2013

  • Spoken attributes: Mixing binary and relative attributes to say the right thing A Sadovnik, A Gallagher, D Parikh, T Chen IEEE International Conference on Computer Vision (ICCV) 2013

  • Automatic discovery of groups of objects for scene understanding C Li, D Parikh, T Chen IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2012

Awards & Honours

  • 2017, received the Robert M Janowiak Outstanding Leadership and Service Award
  • 2014, received the Michael Tien Teaching Award at the Cornell University
  • 2013-2014, served as President of the ECE Department Head of Association
  • 2012-2013, served as Vice Preseident of the ECE Department Head of Association
  • 2007-2009, elected to the Board of Governors with the IEEE Signal Processing Society
  • 2007-2008, elected as Distinguished Lecturer with the IEEE Signal Processing Society
  • 2007, received the Eta Kappa Nu Award for Outstanding Faculty Teaching at the Carnegie Mellon University
  • 2006, received the Benjamin Richard Teare Teaching Award at the Carnegie Mellon University
  • 2000-2003, recipient of the US National Science Foundation CAREER Award, titled "Multimodal and Multimedia Signal Processing"

Teaching (2018/2019)