Tony Wong
Department of Software Engineering and IT
Professor Tony Wong’s specialties include object-oriented analysis and design (UML, CASE tools) and parallel processing. His expertise also includes the design of high performance personal computer networks (Beowulf clusters) and intelligent search algorithms. He is actively involved in the computer development of the simulation of hydraulic systems and numerical computation of fluid dynamics.
Research interests:
- Information and Communications Technologies
- Aeronautics and Aerospace
Research areas:
- Parallel programming
- Computational intelligence
- Multi-objective timetable optimization
- Industrial control system optimization
- Real-time simulation of hydraulic and pneumatic systems
- Cluster computing
- Service design
+ Original articles in refereed journals and books chapters
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+ Papers in refereed conference proceedings
«Aerodynamic design and shape optimization of the UAS-S45 camber adaptive winglet»Musavir Bashir, Simon Longtin-Martel, Ruxandra M. Botez, Tony Wong” |
«Aerodynamic shape optimization of camber morphing airfoil based on black widow optimization»Musavir Bashir, Simon Longtin-Martel, Ruxandra M. Botez, Tony Wong” |
«A comparative study of the optimal control design using evolutionary algorithms: Application on a close-loop system»Sayed Alireza Mohseni, Vincent Duchaine, Tony Wong” |
«Unsupervised feature learning for classifying dynamic tactile events using sparse coding»Jean-Philippe Roberge, Samuel Rispal, Tony Wong, Vincent Duchaine” |
«A multi-neighborhood multi-operator algorithm for the uncapacitated exam proximity problem»T. Wong” |
+ Doctoral thesis
E. Granger, “Une étude des réseaux de neurones artificiels pour la classification rapide d’impulsions radars,” Ph.D. Thesis, École Polytechnique de Montréal, 243 pages, January 2002 (National Library of Canada, ISBN: 0-612-71310-5). |
Granger, E., Gorodnichy, D.O.,. (2014). Evaluation methodology for face recognition technology in video surveillance applications. 36. Canadian Border Services Agency, Border Technology Division, Division Report 2014-29 |
Granger, E., Radtke, P., Gorodnichy, D.O.(2014). Survey of academic research and prototypes for
face recognition in video. 40. Canadian Border Services Agency, Border Technology Division, Division Report 2014-25
|
Neves, E., Gorodnichy, D.O., Matwin, S., Granger, E.(2014). Evaluation of different features for face recognition in video. 30. Canadian Border Services Agency, Border Technology Division, Division Report 2014-31 |
Granger, E., Gorodnichy, D.O., Choy, E., Khreich, W., Radtke, P., Bergeron, J.-P., Bissessar, D.(2014). Results from evaluation of three commercial off-the-shelf face recognition systems on Chokepoint dataset. 30. Canadian Border Services Agency, Border Technology Division, Division Report 2014-27 |
Gorodnichy, D.O., Granger, E., Radtke, P.,. (2014). Survey of commercial technologies for face recognition in video. 30. Canadian Border Services Agency, Border Technology Division, Division Report 2014-22 |
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Tony
Wong
Research & Innovation
Contact Us
Pavillon Principal (A)
1100, rue Notre-Dame Ouest
Montréal, QC, H3C 1K3
Room A-3600
Tel.: +1 (514) 396-8650
E-Mail: eric.granger@etsmtl.ca