Éric Beaudry

Biographie

Before his graduate studies, Éric Beaudry was a research assistant at CARTEL, a research center in remote sensing at Université de Sherbrooke. Éric holds a master (2006) and a Ph.D. (2011) in computer science from Université de Sherbrooke in the fields of artificial intelligence (AI) and mobile robotics. He was a member of Planiart et d’IntRoLab, respectively two labs conducting research in AI planning and mobile robotics. In 2005 and 2006, IntRoLab and Éric has recevied many awards at the AAAI Robot Challenge, a robotics competition taking place at the prestigious annual conference of the Association for the Advancement of Artificial Intelligence. In March 2011, Éric has defended his Ph.D. thesis on Planning concurrent actions under uncertainty. After his Ph.D., Éric spends few months as a postdoctoral fellow at the center of Defence Reseach and Development Canada (DRDC) where he continues his research on planning under uncertainty. He has developped te planner in the core of CORALS, a prototype for real-time decision support for combat operators on the Canadian frigates. From July to December 2011, Éric is a research fellow at the Intelligent Systems Division at NASA Ames Research Center in California (USA). He works to improve its planning algorithms to demonstrate their applicability to space exploration missions. From January 2012, Éric will join the Département d’informatique of Université du Québec à Montréal (UQÀM) as assistant professor. He will continue his research in automated planning and will investigate their application to serious games. Graduate studies of Éric has been funded by scholarships from the Natural Sciences and Engineering Research Council of Canada (NSERC) and the Fonds québécois de recherche sur la nature et les technologies (FQRNT). His results has been presented and published in several international conferences and journals.

Sujets d'intérêts

  • Planification en intelligence artificielle, Jeux sérieux, Robotique mobile, Système d’aide à la décision
  • Systèmes experts
  • Technologies des communications et de l’information
Jaël Champagne Gareau, Guillaume GossetÉric Beaudry et Vladimir Makarenkov
"Cache-Efficient Dynamic Programming MDP Solver"ECAI 2023 - 26th European Conference on Artificial Intelligence372Frontiers in Artificial Intelligence and ApplicationsIOS Press373-3802023
Jaël Champagne GareauÉric Beaudry et Vladimir Makarenkov
"Cache-Efficient Memory Representation of Markov Decision Processes"35th Canadian Conference on Artificial IntelligenceCanadian Artificial Intelligence Association2022
Jaël Champagne GareauÉric Beaudry et Vladimir Makarenkov
"Fast and optimal branch-and-bound planner for the grid-based coverage path planning problem based on an admissible heuristic function"Frontiers in Robotics and AI62022
Éric BeaudryJaël Champagne Gareau, Vladimir Makarenkov
"Fast and Optimal Planner for the Discrete Grid-Based Coverage Path-Planning Problem"13113Springer87-96112021https://doi.org/10.1007/978-3-030-91608-4_9
Naouel MohaYann-Gaël GuéhéneucÉric BeaudryManel Abdellatif, Rafik Tighilt, Abdelkarim Belkhir
"A multi-dimensional study on the state of the practice of REST APIs usage in Android apps"Autom. Softw. Eng.273187-22882020https://doi.org/10.1007/s10515-020-00272-9
Jean Massardi, Mathieu Gravel et Éric Beaudry
"PARC: A Plan and Activity Recognition Component for Assistive Robots"2020 IEEE International Conference on Robotics and Automation, ICRA 2020IEEE3025-30312020
Jonathan Milot, Jäel Champagne Gareau et Éric Beaudry
"An Energy-Efficient Method with Dynamic GPS Sampling Rate for Transport Mode Detection and Trip Reconstruction"Advances in Artificial Intelligence - 33rd Canadian Conference on Artificial Intelligence, Canadian AI 202012109Lecture Notes in Computer ScienceSpringer408-4192020
Jean MassardiMathieu Gravel et Éric Beaudry
"Error-Tolerant Anytime Approach to Plan Recognition Using a Particle Filter"ICAPS284-2912019
Abdelkarim BelkhirManel Abdellatif Rafik TighiltNaouel MohaYann-Gaël Guéhéneuc et Éric Beaudry
"An observational study on the state of REST API uses in Android mobile applications"MOBILESoft@ICSE66-752019
Jaël Champagne GareauÉric Beaudry et Vladimir Makarenkov
"An Efficient Electric Vehicle Path-Planner That Considers the Waiting Time"Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, SIGSPATIAL 2019ACM389-3972019
Étudiant(e)s Statut Sujets
Boucher, Philippe Maîtrise
Munnoz Porras, José Maîtrise
Perron, Pierre-Luc Stagiaire
Zarrouk, Antoine-Ali Stagiaire
Gosset, Guillaume Doctorat (Depuis 2023)
Beauvais-Monestime, Katia Maîtrise (Depuis 2019)
Carignan, Benoit Maîtrise (Depuis 2021)
Étudiant(e)s Statut Sujets
Gigax, Christophe Stagiaire
Labranche, Sylvain Maîtrise (Depuis 2013)
Morin, Émeric Stagiaire
Callies, Sophie Doctorat (Depuis 2012)
Francoeur, Guy Maîtrise (Depuis 2014)
Kayser, Johan Stagiaire (Depuis 2015)

NIT – Preuve de conception d’un IDE en ligne

Landry, Jean-François Post Doctorat (Depuis 2014)
Boudreault, Olivier Maîtrise (Depuis 2014)
Onfroy, Guillaume Maîtrise (Depuis 2013)

Moteur intelligent pour les services

Sola, Nicolas Maîtrise (Depuis 2013)
Ouellette, Simon Maîtrise (Depuis 2020)

Approches centrées sur la planification pour résoudre des problèmes d’apprentissage par renforcement à récompenses éparses.

Lavoie, Marc-André Maîtrise (Depuis 2017)
Massardi, Jean Doctorat (Depuis 2016)
Gravel, Mathieu Maîtrise (Depuis 2016)
Milot, Jonathan Maîtrise (Depuis 2016)
Sophie, Callies Post Doctorat (Depuis 2017)
Massardi, Jean Maîtrise (Depuis 2015)