Alexander Wong (scientist)

Alexander Wong is a professor in the Department of Systems Design Engineering and a Co-Director of the Vision and Image Processing Research Group at the University of Waterloo. He is the Canada Research Chair in Artificial Intelligence and Medical Imaging,..[1] a Founding Member of the Waterloo Artificial Intelligence Institute and a Member of the College of the Royal Society of Canada.[2] and a Fellow of the Institute of Engineering and Technology.[3]

Alexander Wong
NationalityCanadian, Chinese
Alma materUniversity of Waterloo
Known forArtificial Intelligence, quantitative explainable AI (XAI), automatic machine learning (AutoML)
Scientific career
Doctoral advisorDavid Clausi, Paul Fieguth
Websitehttp://eng.uwaterloo.ca/~a28wong

Education

Wong was educated at the University of Waterloo, where he holds a BSc in computer engineering, a MSc degree in Electrical and Computer Engineering, and a PhD in systems design engineering. He held an NSERC postdoctoral research fellowship at Sunnybrook Health Sciences Centre, Ontario Canada.[4]

Career

Wong has authored and co-authored over 600 scientific articles and holds over 30 patents and patent applications in various fields ranging from computational imaging to artificial intelligence, and computer vision to multimedia systems.[5] Wong is particularly noted for his significant research contributions in quantitative explainable AI (XAI), trust quantification, automatic machine learning (AutoML), and computational imaging methods such as correlated diffusion imaging[6]

Selected publications

See also

References

  1. Profile. Alexander Wong Canada Research Chairs. Retrieved February 20, 2023
  2. "Ren and Wong named to Royal Society of Canada". Water Institute. 1 October 2018.
  3. "Recently Elected Fellows". www.theiet.org. Retrieved 20 February 2023.
  4. "CJECE - Associate Editors". www.ewh.ieee.org. Retrieved 20 February 2023.
  5. "Alexander Wong".
  6. Wong, Alexander; Gunraj, Hayden; Sivan, Vignesh; Haider, Masoom A. (2022). "Synthetic correlated diffusion imaging hyperintensity delineates clinically significant prostate cancer". Scientific Reports. 12 (1): 3376. arXiv:2108.04427. Bibcode:2022NatSR..12.3376W. doi:10.1038/s41598-022-06872-7. PMC 8888633. PMID 35232991.
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