Matthew Kyan

Associate Professor

Research Interests
  • Biologically inspired models for learning & pattern recognition;
  • Multimedia signal processing;
  • Rich-media search, summarization & retrieval;
  • Knowledge-assisted visualization;
  • Immersive environments and mixed reality;
Bio

Matthew Kyan received the B.Sc. in Computer Science (’97), B.Eng. (’98) and PhD (’07) in Electrical Engineering from the University of Sydney, Australia.  He joined Ryerson University in 2008, where he played an instrumental role in establishing the Centre for Interactive Multimedia Information Mining (CIM2).  He played several advisory roles in the early stages of Ryerson’s successful incubator – Digital Media Zone (DMZ), and the Centre for Cloud & Context-Aware Computing (RC4).  He also led the launch of a new Master’s program in Digital Media, serving as Program Director from 2013-2015.  In 2015, Dr. Kyan joined the Lassonde School of Engineering in the Dept. of Electrical Engineering and Computer Science with a mandate to foster interdisciplinary research in the digital media sector.

Dr. Kyan’s core research addresses challenges in the efficient organization, management and analysis of media-rich datasets, while developing more natural and intuitive modes for associated human-computer and computer-mediated interaction.  Specializing in audio-visual signal processing and bio-inspired models for learning & recognition, his work finds application in multimedia search and summarization, knowledge-assisted visualization, immersive computing and virtual/mixed realities.

He works with numerous industry partners across the GTA and abroad, from a variety of different disciplines, including: graphic arts & communications, film & cinema, performing arts, biomedical imaging & bioinformatics.  His passion revolves around dissolving traditional boundaries that exist in the human-computer interface, and using pattern recognition and computational intelligence to extend/augment the human as they engage in computer mediated experiences.

Dr. Kyan won the Siemens National Prize for Innovation, Australia (’99) for his work with 3D confocal image analysis.  He is a member of the IEEE Signal Processing (SPS), Computational Intelligence (CIS) and Engineering in Medicine and Biology Societies (EMBS), and currently serves as Treasurer for IEEE EMBS, Toronto Chapter.

Selected Publications
  • Kyan M, Sun G, Li H, Zhong L, Muneesawang P, Dong N, Elder B, Guan L. (2015). An Approach to Ballet Dance Training through MS Kinect and Visualization in a CAVE Virtual Reality Environment. ACM Transactions on Intelligent Systems and Technology. 6(2): 23:1-23:37.
  • Khan M H, Kyan M, Guan L. (2015). Intuitive Volume Exploration through Spherical Self-Organizing Map and Color Harmonization. Journal of Neurocomputing. 147: 160-173.
  • Qian Y, Kyan M. (2014). High Definition Visual Attention Based Video Summarization. Proc. of the 9th Int. Conf. on Computer Vision Theory and Applications, Volume 1 (ACM VISAPP), Lisbon, Portugal, Jan. 2014, 634-640
  • Manshaei R, Kyan M. (2013). Sparse and Stable Reconstruction of Genetic Regulatory Networks Using Time Series Gene Expression Data. Proc. of the Int. Conf. on Bioinformatics, Computational Biology and Biomedical Informatics.
  • Manshaei R, Bidari P S, Shoorehdeli M A, Feizi A, Lohrasebi T, Malboobi M A, Kyan M, Alirezaie J. (2012). Hybrid Controlled Neuro-Fuzzy Networks Analysis resulting to Genetic Regulatory Networks Reconstruction. ISRN Bioinformatics. 2012(ID 419419): 1-16.
  • Gonsales A O, Kyan M. (2012). Trajectory analysis on spherical self-organizing maps with application to gesture recognition. 9th Workshop on Self-Organizing Maps (WSOM 2012), Santiago, Chile, 2012-12-12 (125-134)
  • Niu Y, Todd R, Kyan M, Anderson A. (2012). Visual saliency and emotional salience influence eye movements. ACM Transactions on Applied Perception. 9(3(13)): 13:1-13:18.
  • Saber Y, Kyan M. (2011). High Resolution Biologically Inspired Salient Region Detection, 18th IEEE International Conference on. IEEE International Conference on Image Processing (ICIP), Brussels, Belgium, 2011-09-11 (649 – 652).
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