Qualifications

• PhD Artificial Intelligence 
  2019 - University of Montpellier 

  The title of my thesis is "Argumentation Techniques for Existential Rules". It is an original research in the field of Knowledge Representation and Reasoning, one of the main sub-domains in AI.

  I was supervised by Madalina Croitoru, Srdjan Vesic and Rallou Thomopoulos. I was also supported by my friend and co-worker, Pierre Bisquert.

  During the whole duration of my PhD, I was part of the INRIA GraphIK team at the LIRMM laboratory. I defended my thesis on the 11th of July 2019.

  I studied reasoning techniques with argumentation graphs generated from inconsistent knowledge bases expressed in the existential rules language. The three main results are the following. First, we give a structural study of argumentation graphs obtained from knowledge bases expressed in existential rules. Second, we propose and analyse an argumentation framework with sets of attacking arguments for existential rules. Third, we studied argumentation techniques based on ranking-based approaches in both the context of query answering and argumentation reasoning.

• MSc Computing Science 
  2016 - University of Montpellier 

  I followed a Master program called "MIT" at the University of Montpelier. This program offered courses about Theoretical Computer Science. An non exhaustive list of the topics covered are:

  • Graphs and structures
  • Advanced computability and complexity
  • Constraint reasoning
  • Combinatorial optimization
  • Knowledge base theory
• BSC Mathematics 
  2014 - University of Montpellier 

  As a first year undergraduate, I studied Computer Science and Mathematics at the University of French Polynesia. In 2012, I moved to Montpelier and entered a course of study focused on Mathematics as a second year undergraduate. An non exhaustive list of the topics covered are:

  • Linear algebra
  • Algorithms and structure of linear data
  • Advanced imperative programming
  • Combinatorial optimization
  • Arithmetic

Research Specialisms

• Artificial Intelligence
• Knowledge and Information Systems

Our research specialisms are based on the Higher Education Classification of Subjects (HECoS) which is HESA open data, published under the Creative Commons Attribution 4.0 International licence.

Supervision

Courses

• Languages And Computability CS3518
• Applied Artificial Intelligence CS5079
• Software Agents And Multi-Agent Systems CS551K
• Introduction to Machine Learning and Data Mining CS4049
• Database Systems And Big Data CS5097