Dacheng Tao

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]

References

1. "Dacheng Tao". Mathematics Genealogy Project. Retrieved 17 December 2022.
2. "2015 elevated fellow" (PDF). IEEE Fellows Directory. Archived from the original (PDF) on 30 March 2015.
3. "Fellowships and training centres accelerate research capacity". University of Sydney. 5 June 2017. Retrieved 21 January 2018.
4. "Professor Dacheng Tao". www.science.org.au. Retrieved 16 June 2018.
5. 2019 ACM Fellows Recognized for Far-Reaching Accomplishments that Define the Digital Age, Association for Computing Machinery, retrieved 11 December 2019
6. "Dacheng Tao". Retrieved 5 September 2021.
7. "2020 Australian Museum Eureka Prize winners". The Australian Museum. Archived from the original on 24 November 2020. Retrieved 9 December 2020.
8. "Most prolific dblp authors". dblp.uni-trier.de. Retrieved 24 September 2021.