Research | Publications | Projects | Teaching | Misc
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:
June 1st, 2023 : Invited speaker at JFRB'23 : Explaining classifiers' predictions : From the most likely to the most unlikely explanations
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).