Ghyslain Gagnon

B.Ing., M.Ing. (ÉTS), Ph.D. (Carleton)


Département de génie électrique
Bureau : A-2649
Téléphone :514 396-8439


ghyslain.gagnon@etsmtl.ca



Accueil

Le professeur Ghyslain Gagnon a obtenu un baccalauréat (B. Ing.) en génie électrique (2002) et une maîtrise (M. Ing.) en génie électrique (2003) de l'ÉTS, et un doctorat en génie électrique (Ph.D). de l'Université Carleton (2009). Il est professeur au département de génie électrique de l'ÉTS depuis 2008 et actuellement directeur du laboratoire de communication et d'intégration de la microélectronique (LACIME).

Mes intérêts en recherche incluent la microélectronique, les communications sans-fil et le traitement de signal. Auteur d'une trentaine d'articles scientifiques et brevets, je favorise les recherches en collaboration avec l'industrie.

J'ai participé à de nombreux projets de recherche en partenariat industriel dans le domaine de l'analyse du mouvement, du positionnement par ondes radios et en systèmes de mesure de la consommation d'énergie électrique.

J'ai aussi un penchant pour l'art techno, d'où mon implication dans des projets comme le Circuit de Bachelard et Brainstorm, en collaboration avec Jean Dubois de la faculté des arts de l'UQAM.




Enseignement

ELE140 – Conception des systèmes numériques (site sur moodle)

ELE680 – Conception et réalisation de systèmes numériques (site sur moodle)

ELE735 – Analyse numérique

ELE792 – Projet de fin d'études




Domaines d'expertise

  • Signal Processing

  • Machine Learning

  • Pattern Recognition

  • Microelectronics

  • Energy measurement

 




Projets de recherche

Artificial Intelligence in Sports

Automated Video Analysis of Sport Videos

This project aims to develop automated tools based on machine learning to identify events and extract contextual information from video footage of sport events.

Students

Marc-André Carbonneau, Ph.D. candidate.
Action Recognition using Bag-of-Words Event Detectors and a Context Descriptor.

Publications

M.-A. Carbonneau, A. J. Raymond, E. Granger and G. Gagnon, “Real-Time Visual Play-Break Detection in Sport Events using a Context Descriptor”, to be published in IEEE International Symposium on Circuits and Systems (ISCAS 2015).
 
Dataset
Description

Since no publicly available datasets existed for the analysis of hockey game footage, we decided to build our own. We filmed several university-level hockey matches using two or more fixed cameras. We installed a camera on each end of the spectators' side of the rink.




Data Format

The annotated video data used in the following projects is available for download.

It is composed of two types of files:
  • Video files, encoded using the M-JPG format in 480x270 resolution at 30 frames per second.
  • Annotations, available in textual format.

Video Acquisition Setup

The following equipment was used to film the games:
 
Cameras were installed approximately 10 to 12 meters from the rink.

Using this Dataset

This dataset may not be redistributed and is intedended for academic use only. If you wish to use this dataset, please cite the following paper:


M.-A. Carbonneau, A. J. Raymond, E. Granger and G. Gagnon, “Real-Time Visual Play-Break Detection in Sport Events using a Context Descriptor”, Proceedings of IEEE International Symposium on Circuits and Systems (ISCAS), May 24-27, Lisbon, Portugal, to appear.
 
Dataset Annotated Videos
Concordia 1 Download

The datasets are compressed using the Xz file format. They can be uncompressed using the free 7-Zip tool.

Contacting the Authors

The authors of this dataset can be contacted at:
  • Marc-André Carbonneau: marcandre DOT carbonneau AT gmail DOT com
  • Alexandre Raymond: alexandre DOT raymond AT lacime DOT etsmtl DOT ca

Acknowledgements

We wish to thank the Concordia University Stingers men's hockey team for their participation in this project. We also acknowledge support from the Natural Sciences and Engineering Research Council of Canada.





Multiple Instance Learning

Synthetic Data Sets for MIL
These data sets are used to assess the performance of MIL algorithms at different witness rates, levels of positive class complexity and number of noisy features. The data set was introduced in:
 
M.-A. Carbonneau, E. Granger, A. J. Raymond, and G. Gagnon, “Robust Multiple-Instance Learning Ensembles Using Random Subspace Instance Selection,” Pattern Recognition, 2016.

Please cite this paper whenever the data set is used.
 
Here's the link to get the data:
[get the data set]

or, alternatively:
https://sites.google.com/site/marcandrecarbonneau/data-sets




Publications

 
Articles in refereed publications
  1. D.-K. G. Pham, G. Gagnon, F. Gagnon, P. Desgreys and P. Loumeau, "Hardware Implementation of Subsampled Adaptive Subband Digital Predistortion Algorithm", accepted for publication in Springer Analog Integrated Circuits and Signal Processing, July 2016.
  2. N. Lezzoum, G. Gagnon and J. Voix, "Echo Threshold between Passive and Electro-Acoustic Transmission Paths in Digital Hearing Protection Devices", International Journal of Industrial Ergonomics, Volume 53, pp. 372-379, May 2016.
  3. M.-A. Carbonneau, E. Granger, A. J. Raymond, G. Gagnon, "Robust Multiple-Instance Learning Ensembles Using Random Subspace Instance Selection," Pattern Recognition, Volume 58, pp. 83-99, October 2016.
  4. Y. Nijsure, G. Kaddoum, N. K. Mallat, G. Gagnon, F. Gagnon, "Cognitive Chaotic UWB-MIMO Detect-Avoid Radar for Autonomous UAV Navigation", accepted for publication in IEEE Transactions on Intelligent Transportation Systems, 2016.
  5. N. Lezzoum, G. Gagnon and J. Voix, "Noise reduction of speech signals using time-varying and multi-band adaptive gain control for smart digital hearing protectors", Applied Acoustics, vol. 109, pp. 37–43, Aug. 2016.
  6. M. Ben Kilani, Y. Nijsure, G. Gagnon, G. Kaddoum and F. Gagnon, "Cognitive Waveform and Receiver Selection Mechanism for Multistatic Radar," IET Radar, Sonar & Navigation, vol. 10, no. 2, pp. 417-425, Feb. 2016.
  7. Y. Nijsure, G. Kaddoum, G. Gagnon, F. Gagnon, C. Yuen, R. Mahapatra, "Adaptive Air-to-Ground Secure Communication System based on ADS-B and Wide Area Multilateration", IEEE Transactions on Vehicular Technology, vol. 65, no. 5, pp. 3150-3165, May 2016.
  8. N. Lezzoum, G. Gagnon and J. Voix, "Voice activity detection system for smart earphones," IEEE Transactions on Consumer Electronics, vol. 60, no. 4, pp. 737-744, 2014.
  9. G. Beaufort-Samson, M.-A. Levasseur, F. Gagnon and G. Gagnon, "Auto-Calibration of Hall Effect Sensors for Home Energy Consumption Monitoring", Electron. Lett., vol.50, no.5, pp.403-405, 2014.
  10. G. Kaddoum, G. Gagnon, and F. Gagnon, "Spread Spectrum Communication System with Phase Synchronization Unit using Chaotic Symbolic Dynamics Modulation," International Journal of Bifurcation and Chaos, vol. 23, no. 2, pp. 1350019-1 – 1350019-14, 2013
  11. M.-A. Carbonneau, N. Lezzoum, J. Voix, and G. Gagnon, "Detection of Alarms and Warning Signals on an Digital In-Ear Device," International Journal of Industrial Ergonomics, Volume 43, Issue 6, 2013.
  12. G. Gagnon, F. Choquette, J. Belzile, and F. Gagnon, "Minimisation of carrier frequency acquisition time in QAM systems," Electron. Lett., vol. 45, no. 5, pp. 276–277, 2009.
  13. G. Gagnon and L. MacEachern, "Digital compensation of DAC mismatches in multibit delta-sigma ADCs," Electron. Lett., vol. 44, no. 12, pp. 721-722, 2008.
  14. G. Gagnon, F. Choquette, J. Belzile, and F. Gagnon, "A simple and fast carrier recovery algorithm for high-order QAM," IEEE Communications Letters, vol. 9, no. 10, pp. 918-920, 2005.

Papers in refereed conference proceedings

  1. M.-A. Carbonneau, E. Granger and G. Gagnon, “Witness Identification in Multiple Instance Learning Using Random Subspaces”, to be published at 23rd International Conference on Pattern Recognition (ICPR) 2016.
  2. H. Dagdougui, L. Dessaint, G. Gagnon, K. Al-Haddad, "Modeling and Optimal Operation of a University Campus Microgrid," to be published at IEEE PES General Meeting, Boston, Massachusetts, July 17-21, 2016. *Best Conference Papers on Electric Vehicles, Energy Storage, Microgrids, and Demand Response
  3. Y. Nijsure, M. Ahmed, G. Kaddoum, G. Gagnon and F. Gagnon, "WSN-UAV Monitoring System with Collaborative Beamforming and ADS-B based Multilateration", in IEEE 83rd Vehicular Technology Conference (VTC2016), Nanjing, China, 2016.
  4. L.-C. Trudeau, G. Gagnon, F. Gagnon, C. Thibeault, T. Awad, and D. Morrissey, "A Low-Latency, Energy-Efficient L1 Cache Based on a Self-Timed Pipeline", in 21st IEEE International Symposium on Asynchronous Circuits and Systems (ASYNC), 2015.
  5. S. Ziabakhsh, G. Gagnon and G. W. Roberts, "Wide Linear Range Voltage-Controlled Delay Unit for Time-Mode Signal Processing", in IEEE Symposium on Circuits and Systems (ISCAS), pp.1826-1829, 24-27 May 2015.
  6. M.-A. Carbonneau, A. J. Raymond, E. Granger and G. Gagnon, "Real-Time Visual Play-Break Detection in Sport Events using a Context Descriptor", in IEEE Symposium on Circuits and Systems (ISCAS), pp.2808-2811, 24-27 May 2015.
  7. J. Voix, N. Lezzoum and G. Gagnon, "Evaluation of a Digital Earplug Featuring a Multiband Adaptive Gain Control Noise Reduction Algorithm for Enhanced Audibility in Noisy Environments", in 22nd International Congress on Sound and Vibration, 2015.
  8. D.-K. G. Pham, G. Gagnon, F. Gagnon, P. Desgreys and P. Loumeau, "A Subsampled Adaptive Subband Digital Predistortion Algorithm", in IEEE New Circuits and Systems Conference (NEWCAS), 2014.
  9. M. Ben Kilani, A. J. Raymond, P. Lavoie, F. Gagnon, and G. Gagnon, "RSSI-based Indoor Tracking using the Extended Kalman Filter and Circularly Polarized Antennas," in IEEE Workshop on Positioning, Navigation and Communication 2014 (WPNC’14), 2014.
  10. N. Lezzoum, G. Gagnon, and J. Voix, "A demonstration of a single channel blind noise reduction algorithm with live recordings", in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2014) - Show & Tell session, 2014.
  11. N. Lezzoum, G. Gagnon, and J. Voix, "A Low-Complexity Voice Activity Detector for Smart Hearing Protection of Hyperacusic Persons," in Interspeech, 2013.
  12. M.-A. Carbonneau, G. Gagnon, R. Sabourin, and J. Dubois, "Recognition of Blowing Sound Types for Real-time Implementation in Mobile Devices," in IEEE 11th New Circuits and Systems Conference (NEWCAS), 2013.
  13. M.-A. Levasseur, S. Jomphe, D. Sicard, A. Dulipovici, F. Gagnon, and G. Gagnon, "A Wireless Sensor Network for Residential Electrical Energy Consumption Measurement," in IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), 2012.
  14. F.-D. Richardson, A. B. Kouki, and G. Gagnon, "A CMOS RF Power Detector for an Automatic Impedance Matching System," in 2011 IEEE International New Circuits and Systems Conference (NEWCAS), 2011, pp. 157-160.
  15. E. Collard-Frechette, G. Kaddoum, and G. Gagnon, "Dynamic Range Scaling of Sigma-Delta Modulators Based on a Multi-Criteria Optimization Process," in 2011 IEEE International New Circuits and Systems Conference (NEWCAS), 2011, pp. 193-196.
  16. G. Kaddoum, G. Gagnon, and F. Gagnon, "Robust Synchronization Technique for Chaotic Symbolic Dynamics Modulation," in 2011 IEEE International Symposium on Circuits and Systems (ISCAS), 2011, pp. 1968-1971.
  17. E. Collard-Frechette and G. Gagnon, "A New Optimization Technique for Coefficient Scaling in Sigma-Delta Modulators," in 2010 53rd IEEE International Midwest Symposium on Circuits and Systems (MWSCAS), 2010, pp. 312-315.
  18. G. Gagnon and L. MacEachern, "System-level design aspects of a DAC Calibration technique for bandpass delta-sigma modulators," in IEEE Northeast Workshop on Circuits and Systems, 2007. NEWCAS 2007, pp. 1481-1484, 2007.
  19. G. Gagnon and L. MacEachern, "Continuous compensation of binary-weighted DAC nonlinearities in bandpass delta-sigma modulators," in IEEE International Symposium on Circuits and Systems, 2007. ISCAS 2007, pp. 253-256, 2007.
  20. G. Gagnon, J. Belzile, and F. Gagnon, "An FPGA-based wideband PLL without significant quantization noise," in Circuits and Systems, 2004. NEWCAS 2004. The 2nd Annual IEEE Northeast Workshop on, pp. 21-24, 2004.
  21. G. Gagnon, J. Belzile, and F. Gagnon, "Elimination of quantization noise effects at the VCO input of wideband PLLs," in 2004 IEEE 5th Workshop on Signal Processing Advances in Wireless Communications, pp. 69-73, 2004.

Patents
  • G. Gagnon et al., "Wireless Sensor Network for Measurement of Electrical Energy Consumption," U.S. Provisional Patent Application 61/639,355, 2012.
  • G. Gagnon et al., "Energy Consumption Evaluation System Having Reduced Energy Consumption," U.S. Patent WO/2012/027, 8442012 (pending), 2011.

Non-refereed contributions
  • G. Gagnon, Solutions potentielles pour l'acquisition de données pour le contrôle intelligent de systèmes HVAC, Technical report, NRC Industrial Research Assistance Program, 2015.
  • G. Gagnon, Rapport d'authentification de la trame audio d'un fichier vidéo capté par caméra, Technical expertise report for a criminal trial, 2013.
  • G. Gagnon, Réseaux de capteurs pour une mesure précise et diversifiée de la consommation d’énergie, Invited talk at ReSMiQ, 2011.
  • G. Gagnon, Résultats de la caractérisation de performance du Hawkview v1.4 pour Enero Solutions Inc., Technical report, NRC Industrial Research Assistance Program, 2009.

Book chapters
  • S. Ziabakhsh, G. Gagnon and G.W. Roberts, "Chapter 7: Time-Mode Delta-Sigma Converters" Yuan F. CMOS Time-Mode Circuits and Systems: Fundamentals and Applications, ISBN: 9781482298734, pp. 237-300, 2015



 
 



Circuit de Bachelard




Formation universitaire

Baccalauréat en génie électrique (École de technologie supérieure, 2002)

Maitrise en génie électrique (École de technologie supérieure, 2003)

Doctorat en génie électrique (Carleton University, 2008)