Machine Learning, Computer vision, Data Mining, Image Processing, Video Surveillance
University of Technology Sydney, Faculty of Engineering and Information Technology
Dacheng Tao is Professor of Computer Science with the Centre for Quantum Computation & Intelligent Systems, and the Faculty of Engineering and Information Technology in the University of Technology, Sydney. He mainly applies statistics and mathematics to data analytics and his research interests spread across computer vision, data science, geoinformatics, image processing, machine learning, multimedia, neural networks and video surveillance. His research results have expounded in one monograph and 100+ publications at prestigious journals and prominent conferences, such as IEEE T-PAMI, T-NNLS, T-IP, T-SP, T-MI, T-KDE, T-CYB, JMLR, IJCV, NIPS, ICML, CVPR, ICCV, ECCV, AISTATS, ICDM; ACM SIGKDD and Multimedia, with several best paper awards, such as the best theory/algorithm paper runner up award in IEEE ICDM’07, the best student paper award in IEEE ICDM’13, and the 2014 ICDM 10 Year Highest-Impact Paper Award. He is a Fellow of the Institute of Electrical and Electronics Engineers (IEEE), a Fellow of the Optical Society of America (OSA), a Fellow of the International Association of Pattern Recognition (IAPR), a Fellow of the International Society for Optical Engineering (SPIE), an Elected Member of the International Statistical Institute (ISI), a Fellow of the British Computer Society (BCS), and a Fellow of the Institution of Engineering and Technology (IET/IEE). He is an elected member of the Global Young Academy (GYA). He chairs the IEEE SMC Technical Committee on Cognitive Computing and the IEEE SMC New South Wales Section.