Ling Guan

PROFESSOR / CANADA RESEARCH CHAIR

Office: ENG315 Phone: 416.979.5000 x6072 Fax: 416.979.5280 Email: Homepage: www.rml.ryerson.ca/

BIOGRAPHY

• BSc, Tianjin University, China, 1982
• MASc, University of Waterloo, 1985
• PhD, University of British Columbia, 1989

• 88-92, Array Systems Computing, Inc, Canada
• 92-01, University of Sydney, Australia
• 01-10, Ryerson University, Canada

RESEARCH/TEACHING 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,
• IEEE Distinguished Lecturer,
• IEEE CSVT Transcations Best Paper Award (2005),
• Pacific-Rim Conference on Multimedia Best Paper Award (2007),
• Tier I Canada Research Chair in Multimedia,
• 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)

SELECTED PUBLICATIONS

• Y. He, I. Lee and L. Guan, "Optimized video multicast in wireless ad hoc network using distributed algorithm," IEEE Transactions on Circuits and Systems for Video Technology, vol. 19, no. 6, pp. 796-807, June 2009.
• Y. Tie and L. Guan, "Automatic face detection in video sequences using local normalization and optimal adaptive correlation," Pattern Recognition, vol. 42, no. 5, pp. 1859-1868, May 2009.
• 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.
• M. Kyan, K. Jarrah, P. Muneesawang and L. Guan, "Self-organizing trees and forests: Strategies for unsupervised multimedia processing," IEEE Computational Intelligence, vol. 1, no.2, pp. 27-40, May 2006.
• 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.

WINTER 2012 COURSES

 EE 8108 Multimedia Processing and Communications