James Goulet
Ph.D.
Full Professor
Department of Civil, Geological and Mining Engineering
Department of Civil, Geological and Mining Engineering
Areas of expertise
Construction engineering and management Structural loads and safety Structural analysis Learning and inference theories Applied probability
Construction engineering and management Structural loads and safety Structural analysis Learning and inference theories Applied probability
Primary sphere of excellence in research
Modeling and Artificial Intelligence
Modeling and Artificial Intelligence
Secondary sphere(s) of excellence in research
Sustainable Transport and Infrastructures
Sustainable Transport and Infrastructures
Research interests and affiliations
Research interests
- Structural Health Monitoring
- Data Interpretation
- Decision making
- Structure reliability
- Machine Learning
- Bayesian methods
Affiliation(s)
Expertise type(s) (NSERC subjects)
- 1001 Construction engineering and management
- 1101 Structural loads and safety
- 1104 Structural analysis
- 2805 Learning and inference theories
- 3008 Applied probability
Publications
Recent publications
Conference paper
Conference paper
Journal article
Journal article
Xin, Z., & Goulet, J. A. (2024, June). Anomaly detection with switching Kalman filter and imitation [Paper]. 12th International Conference on Bridge Maintenance, Safety and Management (IABMAS 2024), Copenhagen, Denmark. 
Xin, Z., & Goulet, J. A. (2024, June). Anomaly detection with switching Kalman filter and imitation learning [Paper]. 12th International Conference on Bridge Maintenance, Safety and Management (IABMAS 2024), Copenhagen, Denmark.
Vuong, V.-D., Nguyen, L. H., & Goulet, J. A. (2024). Coupling LSTM neural networks and state-space models through analytically tractable inference. International Journal of Forecasting, 13 pages.
Khazaeli, S., & Goulet, J. A. (2024). Damage detection for structural health monitoring using reinforcement and imitation learning. Structure and Infrastructure Engineering, 18 pages.
See all publications (67)
Biography
Academic Background
- (2015-) : Assistant professor, Polytechnique Montréal
- (2012-2015) : Post-doctorate, University of California, Berkeley, USA
- (2008-2012) : Doctorate, Civil engineering, École Polytechnique Fédérale de Lausanne, Suisse (EPFL)
- (2006-2008) : Master, Civil engineering, Université Laval, Québec, Canada
- (2004-2008) : Bachelor, Civil engineering, Université Laval, Québec, Canada
Teaching
- CIV1150 Résitance des matériaux
- CIV8530 Fiabilité des structures et systèmes
- CIV6540 Probabilistic machine learning for civil engineers
Supervision at Polytechnique
COMPLETED
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Ph.D. Thesis (4)
- Deka, B. (2022). Analytical Bayesian Parameter Inference for Probabilistic Models with Engineering Applications [Ph.D. thesis, Polytechnique Montréal].
- Khazaeli, S. (2022). Damage Detection for Structural Health Monitoring Using Reinforcement and Imitation Learning [Ph.D. thesis, Polytechnique Montréal].
- Hamida, Z. (2020). Stochastic Modelling of Infrastructures Deterioration and Interventions based on Network-Scale Visual Inspections [Ph.D. thesis, Polytechnique Montréal].
- Nguyen, L. H. (2019). Real-time Anomaly Detection in the Behaviour of Structures [Ph.D. thesis, Polytechnique Montréal].
- Deka, B. (2022). Analytical Bayesian Parameter Inference for Probabilistic Models with Engineering Applications [Ph.D. thesis, Polytechnique Montréal].
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Master's Thesis (3)
- Laurent, B. (2022). Analytical Inference for Visual Inspection Uncertainty in the Context of Transportation Infrastructures [Master's thesis, Polytechnique Montréal].
- Paquin, C. (2018). Modelling Environmental Effect Dependencies with Principal Component Analysis and Bayesian Dynamic Linear Models [Master's thesis, École Polytechnique de Montréal].
- Tabor, L. (2017). Modélisation probabiliste d'essais en laboratoire par processus gaussien avec peu de spécimens répliqués [Master's thesis, École Polytechnique de Montréal].
- Laurent, B. (2022). Analytical Inference for Visual Inspection Uncertainty in the Context of Transportation Infrastructures [Master's thesis, Polytechnique Montréal].
News about James Goulet
Press review about James Goulet
February 21, 2023,
ICI Radio-Canada | Le 15-18,
Les effets du gel et du dégel sur les infrastructures
James Goulet, professeur agrégé au Département des génies civil, géologique et des mines de Polytechnique discute des impacts des cycles de gel et de dégel sur les infrastructures.
February 4, 2018,
La Presse +,
Les nids-de-poule
Les explications de Benoît Courcelles et de James Goulet, professeurs adjoints au Département des génies civil, géologique et des mines à Polytechnique Montréal.
September 20, 2017,
Pieuvre.ca,
Rouler entre deux nids-de-poule 0
Mentions de James Goulet, professeur adjoint au Département des génies civil, géologique et des mines de Polytechnique Montréal.
September 18, 2017,
Agence Science-Presse,
Rouler entre deux nids-de-poule
Explications de James Goulet, professeur adjoint au Département des génies civil, géologique et des mines de Polytechnique Montréal.
March 11, 2017,
Les Affaires,
Hausser le QI de la société
L'intelligence artificielle (IA) est la nouvelle frontière informatique. Mentions de trois professeurs de Polytechnique Montréal : James Goulet, professeur adjoint au Département des génies civil, géologique et des mines, Michel Gagnon, professeur agrégé au Département de génie informatique et génie logiciel et Samuel Bassetto, professeur adjoint au Département de mathématiques et de génie industriel.
February 20, 2017,
Télé-Québec,
Cochon dingue - Marcher sur des oeufs
Explications de James Goulet, professeur adjoint au Département des génies civil, géologique et des mines de Polytechnique Montréal.
