Chang Shu

Roles and responsibilities

Conducting basic and applied research and transferring technologies to industry.

Current research and/or projects

Currently focused on developing digital representations of shapes and machine learning methods for solving geometric optimization problems.

Research and/or project statements

  • AI-based Shape Optimization: developing machine learning methods for representing and creating shapes for optimal design.
  • Digital Human Modelling: studying methods for analyzing 3D anthropometric data and developing tools for understanding human shape variability.
  • Geometry Processing: developing efficient algorithms for representing and processing geometric data, including mesh generation, smooth surface approximation, and statistical shape analysis.


Ph. D. Computer Science, Queen Mary College, University of London, 1992

B.Sc. Computer Science, Harbin Institute of Technology, 1985

Professional activities/interests

  • Adjunct Research Professor, School of Computer Science, Carleton University
  • Editor of the International Journal of Human Factors Modelling and Simulation
  • Program committee, International Digital Human Modelling Symposium, 2017
  • Program co-chair, IEEE Workshop on 3D Digital Imaging and Modelling, 2007


  • IEEE
  • World Engineering Anthropometry Resource (WEAR)


  • Federal Partners in Technology Transfer Award (FPTT), 2009
  • CDC-NIOSH Alice Hamilton Award, honorable mention, 2004
  • NRC Outstanding Achievement Award, 2003

Key publications

  • P. Xi, C. Shu, R. Goubran, Localizing 3D Anatomical Landmarks Using Deep Convolutional Neural Networks, Canadian Conference on Computer and Robot Vision (CRV), 197-204, 2017.
  • S Wuhrer, C Shu, P Bose, Automatically creating design models from 3D anthropometry data, ASME Journal of Computing and Information Science in Engineering 12 (4), 2012.
  • S. Wuhrer, C. Shu, P. Xi, Landmark-free posture invariant human shape correspondence, The Visual Computer 27 (9), 843-852, 2011.
  • S. Wuhrer, Z.Ben Azouz, C. Shu, Posture invariant surface description and feature extraction, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 374-381, 2010.
  • M. Fiala, C. Shu, Self-identifying patterns for plane-based camera calibration, Machine Vision and Applications 19 (4), 209-216, 2008.
  • Z. Ben Azouz, M. Rioux, C. Shu, R. Lepage, Characterizing human shape variation using 3D anthropometric data, The Visual Computer 22 (5), 302-314, 2006.
  • A. Brunton, C. Shu, G. Roth, Belief propagation on the GPU for stereo vision, Canadian Conference on Computer and Robot Vision (CRV), 76-76, 2006.

Previous work experience

1996 – 1998 NRC Integrate Manufacturing Technologies Institute, Associate Research Officer

1992 – 1996 Carleton University, Department of Mechanical and Aerospace Engineering, Research Associate

International experience and/or work

Founding member of the World Engineering Anthropometry Resource (WEAR)

Chang Shu

Chang Shu

Senior Research Officer
Digital Technologies
1200 Montreal Road
Ottawa, Ontario K1A 0R6
Preferred language: English
Other(s): Chinese (Mandarin)
Telephone: 613-993-0109


Image Analytics, Artificial Intelligence, Information Technology