ContactEmail: tabia[at]cril[dot]frAddress: Faculté des sciences Jean Perrin Rue Jean Souvraz, SP 18 F62307 lens Cedex, France

Karim Tabia - Associate Professor

Short bio: I hold a PhD form CRIL - Artois University in November 2008. I spent one year as a post-doctoral fellow at Polytech'Nantes. I'm since September 2010 associate professor at Artois University (Faculté des Sciences Jean Perrin - Lens). In October 2019, I defended an habilitation to conduct and supervise research (HdR). My research activities are done in the CRIL Lab (Centre de Recherche en Informatique de Lens - CNRS UMR 8188) and I'm particularly interested in Handling imperfect information, Knowledge Representation and Reasoning, Explainable AI, Machine learning and Data mining.

News:

  • November 10th, 2022 : Seminar for LIASD lab, Paris 8 university (Paris). IA explicable : Tour d'horizon et focus sur les approches déclaratives

  • CfP : IJAR journa special issue on Uncertainty, Heterogeneity, Reliability and Explainability in AI

  • Special track Uncertainty, Heterogeneity, Reliability and Explainability in AI at IPMU2022)

  • June 1st, 2022 : Invited speaker at Artificial Intelligence and Data Science for Urban Water Networks Workshop @AISH2022, Montpellier : Explainable AI: Overview and focus on declarative approaches.

  • May, 2022 : Seminar for SPARKS/I3S (Nice). IA explicable : Approches symboliques pour expliquer les prédictions des classifieurs mono et multi-label




Research

My research activities cover certain subjects in Artificial Intelligence such as Handling imperfect information, Knowledge Representation and Reasoning, Explainable AI, Machine learning and Data mining.

You can have a look at all my publications on DBLP or on Google Scholar.

As part of my research, I participated in several research projects on many topics including:

  • Computer animation and digital content management as part of the European project H2020 AniAge

  • Possibilistic description logics and the exploitation of large volumes of heterogeneous data within the framework of the ANR ASPIQ project;

  • Data mining with declarative approaches as part of the ANR DAG

  • Data quality of the within the framework of the QDoSSI project - CNRS, Défi Mastodon

  • Learning parameters from imprecise data as part of the PEPS Fascido 2015 MAPPOS project

  • The exploitation of sensor data as part of the Aviesan OCIP-Nut project (Smart and Personalized Connected Objects in the field of Nutrition)

Teaching

I teach computer science at the Jean Perrin science faculty. This year, I'm teaching a course in Knowledge Representation and Reasoning (Master 2 IA), Computer Security (Master 2 ILI and Master 1), Data mining (Master 2) and Emerging Technologies (License 3).