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Prof. CHAN Antoni B.

BSc(Cornell), MEng(Cornell), PhD(UC San Diego), SMIEEE

Professor

Contact Information

Office: G7311 YEUNG
Phone: 34426509
Fax: 34420503
Email: abchan@cityu.edu.hk
Web: Homepage

Research Interests

  • Computer Vision
  • Surveillance
  • Machine Learning
  • Pattern Recognition
  • Computer Audition
  • Music Information Retrieval
  • Eye Gaze Analysis
Dr. Antoni Chan is a Professor at the City University of Hong Kong in the Department of Computer Science. Before joining CityU, he was a postdoctoral researcher in the Department of Electrical and Computer Engineering at the University of California, San Diego(UC San Diego). He received the Ph.D. degree from UC San Diego in 2008 studying in the Statistical and Visual Computing Lab(SVCL). He received the B.Sc. and M.Eng. in Electrical Engineering from Cornell University in 2000 and 2001. From 2001 to 2003, he was a Visiting Scientist in the Computer Vision and Image Analysis lab at Cornell. In 2005, he was a summer intern at Google in New York City. In 2012, he was the recipient of an Early Career Award from the Research Grants Council of the Hong Kong SAR, China.


Awards and Achievements

  • 2019 “Top 2% Most Highly Cited Researchers” (Ioannidis et al. 2019. Plos Biology).
  • 2016 “The President’s Award” City University of Hong Kong.
  • 2012 “Early Career Award” Research Grants Council of Hong Kong.
  • 2006 “NSF IGERT Fellowship” UCSD.
  • 2005 “Outstanding Teaching Assistant Award” ECE Department, UCSD.
  • 2003 “Office of the President Award” UCSD.
  • 2001 “Henry G. White Scholarship” Cornell University.
  • 2001 “Knauss M. Engineering Scholarship” Cornell University.
  • 2001 “GTE Fellowship” Cornell University.


Service in CityU


Teaching Service

  • 2020 - Now, BScCM Deputy Programme Leader.
  • 2020 - Now, CS 5489 – Machine Learning: Algorithms & Applications (postgraduate).
  • 2020 - Now, Multimedia Subject Group leader.
  • 2019, CS 6487 – Topics in Machine Learning (postgraduate).
  • 2016 - Now, Final Year Project Coordinator.
  • 2016 - Now, MSCS Project and Guided Study Coordinator.
  • 2015 - 2018, CS 4487 – Machine Learning (undergraduate).
  • 2015 - 2017, GE 2326 – Probability in Action: From the Unfinished Game to the Modern World.
  • 2013 - 2017, GE 1319 – Interdisciplinary Research for Smart Professionals.
  • 2012 - 2014, CS 5301 – Computer Programming.
  • 2012 - 2020, CS 5487 – Machine Learning: Principles & Practice (postgraduate).
  • 2012 - Now, CS5487 - Machine Learning.
  • 2011 - 2012, CS 4380 (B) – Web 2.0 Technologies.
  • 2009 - 2011, CS2363 - Computer Programming.
  • 2009, CS3306 - Contemporary Programming Methods in Java.


Last update date : 05 Jul 2021