Hazaël JONES
Associate Professor in Artificial Intelligence at Montpellier SupAgro- Claim this Profile
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Français Native or bilingual proficiency
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Anglais Full professional proficiency
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Roumain Elementary proficiency
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Espagnol Elementary proficiency
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Bio
Experience
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L'Institut Agro Montpellier
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France
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Higher Education
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200 - 300 Employee
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Associate Professor in Artificial Intelligence
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Feb 2014 - Present
I'm an Associate Professor in Montpellier SupAgro. I'm teaching computer science in Montpellier SupAgro and making my research in Montpellier SupAgro, UMR ITAP, INRA and IRSTEA. I'm working in UMR ITAP with a team of researchers coming from UMR ITAP and UMR MISTEA on computer science and modelisation in precision agriculture. I'm working on modelisation, spatial data, zoning, simulation, knowledge representation and I'm also interested by affective computing. I'm an Associate Professor in Montpellier SupAgro. I'm teaching computer science in Montpellier SupAgro and making my research in Montpellier SupAgro, UMR ITAP, INRA and IRSTEA. I'm working in UMR ITAP with a team of researchers coming from UMR ITAP and UMR MISTEA on computer science and modelisation in precision agriculture. I'm working on modelisation, spatial data, zoning, simulation, knowledge representation and I'm also interested by affective computing.
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Pierre and Marie Curie University
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France
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Research
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700 & Above Employee
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Research Engineer in Artificial Intelligence
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Nov 2011 - Jan 2014
I am currently a Research Engineer in LIP6 - UPMC and I participate to the coordination of the European TARDIS project. The TARDIS project is a serious-game simulation platform for young people at risk of exclusion, in order to help them to explore, practice and improve their social skills. I am currently a Research Engineer in LIP6 - UPMC and I participate to the coordination of the European TARDIS project. The TARDIS project is a serious-game simulation platform for young people at risk of exclusion, in order to help them to explore, practice and improve their social skills.
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Research
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2011 - 2013
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Université d'Artois - LGI2A
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Béthune
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ATER in informatics
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Mar 2011 - Aug 2011
Teaching in informatics and Research. Teaching in informatics and Research.
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Post-doctorate on the ANR project Sagece
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Jan 2010 - Dec 2010
Research on multi-agent systems and affective computing. Teaching in informatic. Research topics: Virtual reality, Virtual agent, Simulation, Complex behaviors, Emotion modelisation, Multi-Agent Systems, Fuzzy Logic, Global security Research on multi-agent systems and affective computing. Teaching in informatic. Research topics: Virtual reality, Virtual agent, Simulation, Complex behaviors, Emotion modelisation, Multi-Agent Systems, Fuzzy Logic, Global security
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Procton Labs
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Région de Paris, France
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Research Engineer
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Sep 2009 - Jan 2010
Research topics: Reasonment modelisation, Fuzzy rules systems, Decision support, Medical diagnostic, Activities tree, Decision tree, IMS-Simple Sequencing Research topics: Reasonment modelisation, Fuzzy rules systems, Decision support, Medical diagnostic, Activities tree, Decision tree, IMS-Simple Sequencing
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Post-doctorate on SimSecur/SAGECE projects
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Oct 2008 - Aug 2009
Research topics: Virtual reality, Vitual characters, Simulation, non procedural and variable behaviors, Emotion modelisation, Multi-Agent Systems, Fuzzy Logic, Petri nets, Global Security Teaching in informatics. Research topics: Virtual reality, Vitual characters, Simulation, non procedural and variable behaviors, Emotion modelisation, Multi-Agent Systems, Fuzzy Logic, Petri nets, Global Security Teaching in informatics.
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Saint-Etienne University
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Saint-Etienne
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ATER in informatics
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Feb 2008 - Aug 2008
Teaching in informatics and Research. Teaching in informatics and Research.
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INRA / Cemagref
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Région de Montpellier, France
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PhD in artificial Intelligence
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Oct 2004 - Dec 2007
Reasoning from implicative rules - Inference and semantics Keywords: Fuzzy rules, Expert Knowledges, Fuzzy input inference, Semantics, Interpretability, food process, Comté cheese Abstract: This thesis considers expert knowledge modelling by implicative fuzzy rules. It explores the benefits of these rules compared to the most frequently used fuzzy rules: conjunctive rules. Reasoning from implicative rules - Inference and semantics Keywords: Fuzzy rules, Expert Knowledges, Fuzzy input inference, Semantics, Interpretability, food process, Comté cheese Abstract: This thesis considers expert knowledge modelling by implicative fuzzy rules. It explores the benefits of these rules compared to the most frequently used fuzzy rules: conjunctive rules.
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Education
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PhD in informatics (Artificial Intelligence) in Montpellier
Doctor in Informatic (PhD), Informatic - artificial Intelligence -
Université de Bourgogne
Master 2 III, Instrumentation et informatique de l'Image