Ivor Tsang
Professor
Intelligence Centre
University of Technology Sydney
Australia
Biography
Ivor W Tsang is an ARC Future Fellow and Professor of Artificial Intelligence, at University of Technology Sydney (UTS). He is also the Research Director of the UTS Priority Research Centre for Artificial Intelligence (CAI), which is the evolution of the UTS Flagship Research Centre for Quantum Computation & Intelligent Systems (QCIS). His research focuses on transfer learning, feature selection, big data analytics for data with trillions of dimensions, and their applications to computer vision and pattern recognition. He has more than 140 research papers published in top-tier journal and conference papers. According to Google Scholar, his H-index is 45. In 2009, Prof Tsang was conferred the 2008 Natural Science Award (Class II) by Ministry of Education, China, which recognized his contributions to kernel methods. In 2013, Prof Tsang received his prestigious Australian Research Council Future Fellowship for his research regarding Machine Learning on Big Data. In addition, he had received the prestigious IEEE Transactions on Neural Networks Outstanding 2004 Paper Award in 2007, the 2014 IEEE Transactions on Multimedia Prize Paper Award, and a number of best paper awards and honors from reputable international conferences, including the Best Student Paper Award at CVPR 2010, and the Best Paper Award at ICTAI 2011.
Research Interest
Big Data Analytics and Scalable Machine Learning Algorithms:
Publications
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Dadson N, Pinheiro L, Royer J. Decision Making with Machine Learning in Our Modern, Data-Rich Health-Care Industry. Decision Making in a World of Comparative Effectiveness Research [Internet]. Springer Singapore; 2017;277–89.
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Xu X, Tsang IW, Xu D. Handling Ambiguity via Input-Output Kernel Learning. 2012 IEEE 12th International Conference on Data Mining [Internet]. IEEE; 2012 Dec
