Ling Guan

Professor

• BSc, Tianjin University, China, 1982
• MASc, University of Waterloo, 1985
• PhD, University of British Columbia, 1989
• 1988-1992, Array Systems Computing, Inc, Canada
• 1992-2001, University of Sydney, Australia
• 2001-, Ryerson University, Canada

RESEARCH INTERESTS

Multimedia processing and communications, reality computing, image and video processing, machine learning, pattern recognition, human-computer interaction, visual information mining, intelligent healthcare systems, smart living, e-heritage.

AWARDS AND RECOGNITION

• Fellow of the IEEE
• Fellow of the Canadian Academy of Eengineering
• Fellow of the Engineering Institute of Canada
• Tier I Canada Research Chair in Multimedia (2001-2015)
• IEEE Transcations on CSVT Best Paper Award (2005)
• IEEE Canada C.C. Gotlieb Computer Medal (2014)
• IEEE CAS Society Distinguished Lecturer (2010-2011)
   
  
• Ryerson FEAS Research Excellence Award (2004)
• Ontario Outstanding Researcher Award (2002)
• Invitation Fellowship, Australian Academy of Science/Japan Society for the Promotion of Science (1999)
• British Telecom Research Fellowship (1994)
• IEEE Pacific-Rim Conference on Multimedia Best Student Paper Award (2000)
• Pacific-Rim Conference on Multimedia Best Paper Award (2007)
• IEEE Workshop on Multimedia Signal Processing Top 10% Paper Award (2012)
• IEEE International Conference on Image Processing Top 10% Paper Award (2015)
• IEEE International Workshop on Intelligent Multimeida Application and Design for Quality Living Best Paper Award (2017)
• IEEE International Symposium on Multimedia Top 5% Paper (2017)
• IEEE International Symposium on Multimedia Best Student Paper Award (2018)

SELECTED PAPERS

• T. Hong-Phuoc, Y. He and L. Guan, "SCK: A sparse coding based key-point detector," Proc. IEEE Int. Conf. on Image Processing, pp. 3678-3772, Athens, Greece, October 2018.
• L. Gao, L. Qi, E. Chen and L. Guan, "Discriminative multiple canonical correlation analysis for information fusion," IEEE Trans. on Image Processing, vol. 27, no. 4, pp. 1951-1965, Apr 2018.
• N. El Madany, Y. He and L. Guan, "Information fusion for human action recognition via biset/multiset globality locality preserving canonical correlation analysis," IEEE Trans. on Image Processing, vol. 27, no. 11, pp. 5275 - 5287, November 2018.
• Y. Wang and L. Guan, "Recognizing human emotional state from audiovisual signals," IEEE Transactions on Multimedia, vol. 10, no. 5, pp. 936 - 946, August 2008.
• R.D. Green and L. Guan, "Quantifying and recognizing human movement patterns from monocular video images - Part I: A new framework for modeling human motion," IEEE Trans. on Circuits and Systems for Video Technology, vol. 14, no. 2, pp. 179-190, February 2004.