University Awards
Recognising Excellence
  • Computer vision
  • Multimedia analysis
  • Machine learning
  • Leading research on technologies for analysing customer demographic data and classifying objects in media contents to provide targeted and personalised recommendations in digital signs and other advertising displays
  • Cutting-edge research on assistive multimedia technologies, dynamic captioning of videos to benefit the hearing impaired as well as automated assembly of shredded photographs won best paper awards at two of the most prestigious conferences in the field of multimedia
  • Broke new ground with his pioneering work on bridging manifold learning and subspace learning, two hot areas in the fields of computer vision and machine learning
  • Strong teamwork with very dedicated and motivated students and several researchers in Singapore and overseas
  • Published over 250 papers that have received more than 3,000 citations
  • Contributed more than 170 conference papers, with about 110 for prestigious international conferences
  • Serves on the editorial boards of leading journals such as Institute of Electrical and Electronics Engineers (IEEE) Transactions on Circuits and Systems for Video Technology and Journal of Visual Computer
  • Ad hoc reviewer for major international journals and conferences
  • Young Scientist Award, Singapore National Academy of Science (2011)
  • Best Paper Award, Pacific-Rim Conference on Multimedia (2011)
  • Winner, Object Classification Task, Pattern Analysis, Statistical modelling and Computational Learning (PASCAL) Visual Object Classes Challenge (VOC), (2011, 2010)
  • Young Faculty Research Award, Faculty of Engineering (2010)
  • Best Associate Editor Award, IEEE Transactions on Circuits and Systems for Video Technology (2010)
  • Best Paper Award, Association for Computing Machinery (ACM) Multimedia (2010)
  • Best Paper Award, IEEE International Conference on Multimedia and Expo (2010)
  • Best Paper Award, International Conference on Internet Multimedia Computing and Service (2009)
" It is always exciting to approach a research challenge from a real-life perspective, and then develop solutions based on well-founded theories, and finally license or commercialise them for real-world applications."