Dacheng Tao FAA is an Australian engineer and academic. He is currently a professor of computer science at the University of Sydney, Australia. He received a PhD in 2007 from the University of London under Stephen Maybank, with a thesis titled Discriminative linear and multilinear subspace methods.[1] He was named a Fellow of the Institute of Electrical and Electronics Engineers (IEEE) in 2015[2] for his contributions to pattern recognition and visual analytics. He was awarded an Australian Laureate Fellowship in 2017.[3] In 2018, Tao was also elected a Fellow of the Australian Academy of Science (FAA) for his "ground-breaking contributions in artificial intelligence, computer vision image processing and machine learning.[4] He was elected as an ACM Fellow in 2019 "for contributions to representation learning and its applications".[5] He was selected to the Global Young Academy.[6] Tao won the Australian Museum's Eureka Prize for Excellence in Data Science in 2020.[7] He has written over 1200 publications across various Artificial Intelligence fields, including pattern recognition, visual analytics, and statistical learning theory.[8]
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