hec.ca > Faculty

Laurent Charlin

Associate Professor,  Department of Decision Sciences

Laurent Charlin

Contact information

HEC Montréal
3000, chemin de la Côte-Sainte-Catherine
Montréal (Québec)
Canada H3T 2A7

Email : laurent.charlin@hec.ca
Phone : 514 340-1482
Secretary: 514 340-6472
Fax : n/a
Office : 4.830

Personal page

Education

  • Ph. D. (informatique), University of Toronto
  • MMath (informatique), University of Waterloo

Expertise

  • Machine learning
  • Artificial intelligence
  • Recommender systems
  • Bayesian statistics
  • Deep learning

Current research

  • Forthcoming

This publication selection covers the last five years.


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Journal articles (8)

PETROPOULOS, Fotios, ...,, LAPORTE, Gilbert, BRETON, Michèle, CHARLIN, Laurent, ZACCOUR, Georges, ET AL.,; « Operational Research: methods and applications », Journal of the Operational Research Society, vol. 75, no 3, 2024, p. 423-617.

EHSANI, Behdad, PINEAU, Pierre-Olivier, CHARLIN, Laurent; « Price forecasting in the Ontario electricity market via TriConvGRU hybrid model: Univariate vs. multivariate frameworks », Applied Energy, vol. 359, 2024, p. 1-23.

DEVAILLY, François-Xavier, LAROCQUE, Denis, CHARLIN, Laurent; « Model-Based Graph Reinforcement Learning for Inductive Traffic Signal Control », IEEE Open Journal of Intelligent Transportation Systems, vol. 5, 2024, p. 238-250.

JAKOVLJEVIC, Aleksandar, CHARLIN, Laurent, BARBEAU, Benoît; « Applying Recurrent Neural Networks and Blocked Cross-Validation to Model Conventional Drinking Water Treatment Processes », Water, vol. 16, no 7, 2024, p. 1-14.

SHI, Tianyu, DEVAILLY, François-Xavier, LAROCQUE, Denis, CHARLIN, Laurent; « Improving the Generalizability and Robustness of Large-Scale Traffic Signal Control », IEEE Open Journal of Intelligent Transportation Systems, vol. 5, 2024, p. 2-15.

ELMASRI, Mohamad, LABBE, Aurélie, LAROCQUE, Denis, CHARLIN, Laurent; « Predictive inference for travel time on transportation networks », Annals of Applied Statistics, vol. 17, no 4, 2023, p. 2796-2820.

NEPOMUCENO, Marcelo Vinhal, RAHEMI, Hooman, CENESIZOGLU, Tolga, CHARLIN, Laurent; « Should We Feed the Trolls? Using Marketer-Generated Content to Explain Average Toxicity and Product Usage », Journal of Interactive Marketing, vol. 58, no 4, 2023, p. 440-462.

DEVAILLY, François-Xavier, LAROCQUE, Denis, CHARLIN, Laurent; « IG-RL: Inductive Graph Reinforcement Learning for Massive-Scale Traffic Signal Control », IEEE Transactions on Intelligent Transportation Systems, vol. 23, no 7, 2022, p. 7496-7507.


This selection of supervision activities covers the last five years.

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Dissertation direction – PhD in Administration (2)
In codirection with : PINEAU, Pierre-Olivier
Prosumer-Distributor Dynamics in Distributed Energy Resources Adoption: Strategies for Load Management and Energy Optimization, by Seyyedreza Madani
November 2024

In codirection with : LAROCQUE, Denis
Three essays on Inductive Graph Reinforcement Learning for Scalable Traffic Signal Control, by François-Xavier Devailly
May 2023

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Master's thesis direction – MSc in Management (7)
Decision-Focused Learning for Multi-Stakeholder Recommender Systems , by Audrey-Anne Guindon
May 2024

In codirection with : PINEAU, Pierre-Olivier
Price Forecasting in the Ontario Electricity Market via TriConvGRU Hybrid Model: Univariate vs. Multivariate Frameworks, by Behdad Ehsani
August 2023

Recommender Systems with Integrated Visual Representations, by Arash Hamidian
March 2023

Monte Carlo Tree Search to Solve Integer Programming Problems, by Vincent Fortin
May 2021

In codirection with : ADULYASAK, Yossiri
Forecasting Retail Sales Using Google Trends and Machine Learning, by Feras Al-Basha
May 2021

Don't forget to Tag me!: The effect of metadata in open-domain story generation, by Lourdes Crivelli
March 2021

Optimal Order Execution with Deep Reinforcement Learning, by Brittany Rockwell
May 2020

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Supervised project supervision – MSc in Management (28)
In codirection with : BEN AMEUR, Hatem
Réseaux de neurones pour la tarification d'options , by Frédérick Auger-Morin
September 2024

Développement d'un modèle AI pour faciliter l'extraction de données de documents numérisés , by Édouard Gaillard
March 2024

Architectures multimodales pour la classification d'appels , by Camille Duchesne
October 2023

Détection de «covariate shift» , by Jihene Jamila Ben Miled
August 2023

Conception et déploiement d'un système d'analyse de l'équilibre des jeux vidéo avec l'apprentissage automatique profond et l'algorithme génétique , by Zishi Zhong
August 2023

Synthetic Souls : extraction et classification de données de joueurs humains , by Mathieu Roy-Caissy
August 2023

Federated Learning on Sensitive Mobile Data , by Rongde Liang
August 2023

Topic classification with NLP models , by Huanhuan Huang
March 2023

Prédiction des admissions au service d'urgence du Centre Hospitalier Universitaire de Montréal , by Lorrie Herbault
March 2023

Mise en place d'un modèle de prédiction des émotions basées sur la voix ou des fichiers audio , by Rivelino Rodriguez Manigat
November 2022

Daily Prediction of Major Incidents Occurring on Société Générale's Applications , by Fatima Bohsali
August 2022

Étude comparative de techniques d'apprentissage automatique pour le traitement des commentaires formulés par les répondants au cours du Recensement Canadien de 2021 , by Alexandre Istrate
August 2022

Système de recommandation d'adresses gourmandes à l'aide de méthodes d'ensemble , by Samy Senoune
August 2022

Conception d'un modèle d'acquisition de nouveaux contributeurs , by Abdoulaye Sakho
August 2022

In codirection with : VIAL, Gregory
Managing data quality issues within the CDPQ data lake: From anomaly prediction to anomaly detection , by Franck Joseph Benichou
August 2022

Conception d'un système de recommandation équitable et diversifié de bonnes adresses gastronomiques , by Alassane Dial Diop
March 2022

Extraction de l'information pertinente contenue dans les curriculum vitae à l'aide de modèles en apprentissage automatique , by Vincent Morel
September 2021

Mise en place d'un modèle de détection et de tracking d'individus dans le but de pouvoir les compter , by Mohamed Amine Zoglat
September 2021

Leveraging deep learning and remote sensing for the detection and management of wildfires , by Yuchen Wang
September 2021

Les modèles de sujets pour les évaluations clients , by Ella Tatiana Kenfack Tezembong
September 2021

In codirection with : LABRECQUE, JoAnne
Création d'un système de recommandation algorithmique chez tastet.ca , by Gabriella Bincoletto-Montpetit
September 2021

The use of machine learning to support the decision-making process in venture capital , by Arthur Gerbé
May 2021

Advanced Recommender Systems for E-commerce: Graph Neural Networks at Decathlon , by Jérémi DeBlois-Beaucage
May 2021

People Counting System for the Static Entrance of PDM , by Qiuhua Liu
March 2021

Comment prédire les incidents majeurs sur les applications de l'equity chain pour une meilleure anticipation des risques ? , by Vinh Nguyen
January 2021

Implémentation d'un système de recommandation pour un journal numérique , by Yahya Laraki
January 2021

Optimisation de la catégorisation des commentaires de sondages de satisfaction , by El Mehdi El Aouni
September 2020

Prototypes dans le cadre du projet Legacy Equipment Digitalization au Conseil national de recherches Canada , by Pier-Luc Dassylva Menier
September 2020