CV
More details can be found in the pdf.
General Information
Full Name | Jean-Guy Mailly |
Date of Birth | 8th February 1990 |
Contact | jean-guy.mailly@irit.fr |
Languages | French, English |
Education
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2015 PhD in Computer Science
Université d'Artois, Lens, France - Title of the thesis ''Dynamics of Argumentation Frameworks''.
- Under the supervision of Sylvie Coste-Marquis, Sébastien Konieczny and Pierre Marquis.
- Defense committee.
- Gerhard Brewka and Stefan Woltran (reviewers).
- Salem Benferhat, Andreas Herzig and Anthony Hunter (examiners).
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2012 Master in Computer Science
Université d'Artois, Lens, France - Master thesis ''Revision of Argumentation Frameworks''.
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2010 Bachelor in Computer Science
Université d'Artois, Lens, France
Experience
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2024 - ... Junior Professor of Computer Science
IRIT, Université Toulouse Capitole, Toulouse, France - Research in the LILaC group of IRIT.
- Teaching in the Toulouse School of Management and the Faculty of Information Technology.
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2016 - 2024 Associate Professor of Computer Science
LIPADE, Université Paris Cité, Paris, France - Research in the Distributed Artificial Intelligence group of LIPADE.
- Teaching in the Department of Mathematics and Computer Science.
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2015-2016 Project Assistant
Faculty of Informatics, TU Wien, Vienna, Austria - Postdoc funded by the FWF project ''Fragment-Driven Belief Change''.
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2012-2015 Doctoral Candidate
Université d'Artois, Lens, France - Research in CRIL.
- Teaching in the Institute of Technology of Lens.
Honors and Awards
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2023 - Crustabri ranked first in 12 subtracks of ICCMA 2023
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2019 - CoQuiAAS ranked second in ICCMA 2019
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2017 - CoQuiAAS ranked first in the GR track ICCMA 2017
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2015 - CoQuiAAS ranked first in ICCMA 2015
Academic Interests
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Formal Argumentation.
- Computational methods for abstract argumentation.
- Uncertainty in abstract argumentation.
- Dynamics of abstract argumentation.
- Explainability based on argumentation.
- Argument-based negotiation.
- Argumentation for legal reasoning.
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Belief change.
- Belief revision.
- Belief merging.
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Fair allocation.
- Computational methods for fair allocation problems.