Éric Beaudry, Ph.D.

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Photo de Éric Beaudry

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Assistant Professor
Département d'informatique
Université du Québec à Montréal
201, Président-Kennedy ave.
Montréal (Québec) Canada  H2X 3Y7
Maps: Google Maps | OpenStreetMap
Office: PK-4635
Phone: +1 514 987-3000 ext. 4005
beaudry.eric@uqam.ca



Research

Recherche

My research work is in the field of AI (artificial intelligence) planning, also known as automated planning. Automated planning is an fundamental capability which enables automatic decisions making of intelligent systems and intelligent agents. Automated planning has many applications in various fields including robotics, space exploration, games, defence and operation management.

Research Interests

  • Decision making and Planning under Uncertainty (resources, duration and effects of actions).
  • Planning with Actions Concurrency.
  • Heuristic Planning.
  • Decision Architectures.
For more information, take a look at my publications and my former Ph.D. project's page.

Applications

  • Games, Serious games and Intelligent Tutoring Systems.
  • Spatial Exploration.
  • Defence.
  • Mobile Robotics.
  • Management and Logistics.

Available Positions for Master and Ph.D. Students

I'm looking for master and Ph.D students to assist me in my research projects in the fields of automated planning, and games and serious games. Available projects could be on fundamental research or applied research, depending of personal interests of candidates.

Requirements
  • Holding a bachelor degree in computer science, computer engineering, mathematics or in a related field.
  • Having a GPA of at least 3.2/4.3 (B+).
  • Having a strong knowledge in data structures and graph algorithms.
  • Having a good background in stats and probabilistic reasoning (e.g., Bayesian Networks).
  • Meeting the requirements for admission of the UQÀM's programs of the master in computer science or of the Ph.D. in computer science.
  • Demonstrating an interest for scientific research and artificial intelligence.
  • Being rigorous.
  • Having made ​​an introductory course in AI is an asset.
  • Having an interest for travelling is an asset! Students are strongly encouraged to submit and present their research at international scientific conferences including ICAPS, AAAI, IJCAI, ECAI, UAI, AIED, ITS, AIIDE, IEEE CIG and other relevant conferences.
Funding
  • Funding could be available depending of the availability of funds from my research grant.
  • NSERC and FQRNT offer great scholarships for students having a strong academic record and demonstrate a good potential for research.
Research Topics
Feel free to contact me by email (Eric.Beaudry @ GMail.com) for more information.


Teaching

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Université du Québec à Montréal (UQÀM)


Université de Sherbrooke



Short Bio


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.



© Éric Beaudry 2011. All rights reserved.

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