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My research interests are basically in the field of modeling and reasoning with uncertain information.
Artificial intelligence: Reasoning under uncertainty; Knowledge representation and reasoning, causality; Belief update and revision; Uncertainty theories: possibility theory, credal sets, imprecise probabilities
Graphical models: Probabilistic and possibilistic networks, inference under uncertain observations; Causal graphs, causal reasoning, reasoning with incomplete data; Transformations
Classification: Classification with uncertain/unreliable inputs; Integrating background knowledge, post-processing predictions; Explanation.
As for applications, I've been involved many project dealing with computer security (anomaly-based approaches, intrusion detection, novelty detection, alert correlation), video content management (annotation, querying, segmentation); IoT and connected objects (smart home, Health IoT, Data analysis).
I've been involved in many research projects (more details on the Projects page).
European project H2020 MSCA RISE AniAge : High Dimensional Heterogeneous Data based Animation Techniques for Southeast Asian.
ANR ASPIQ project : ASP technologIes for Querying large scale multisource heterogeneous web information.
ANR DAG project : Declaratives approaches for Enumerating Interesting Patterns.
Aviesan OCIP-Nut project : Smart and Personalized Connected Objects in the field of Nutrition.
PEPS Fascido 2015 MAPPOS project: Learning parameters from imprecise data .
Ahmed Laouar (2022 -): Modèles de contrôle d’accès dynamiques explicables. Co-supervised with Salem Benferhat (Univ. Artois)
Thibault Falque (2020 -) - : Optimisation des flux passagers et de la gestion de ressources via des techniques d’apprentissage automatique et de programmation par contraintes, Thèse industrielle (Exakis-Nelite et ADP). Co-supervised with Bertrand Mazure et Christophe Lecoutre
Sara Kebir (2020 -) : Approches légères pour une solution de maison intelligente pour personnes âgées. Co-supervised with Cécile Carra (Univ. Artois).
Ryma Boumazouza (2019-2022) : Predictive models and reasoning with explanations.
Abdelmoutia Telli (2015-2018) : Reasoning about ontologies.
Amélie Levray (2014-2017): Interval-based possibility theory : Conditioning and probability/ possibility transformations.
Zied Bouraoui (2012-2015): Inconsistency and uncertainty handling in lightweight description logics.
PC co-chair (with Jesse Davis, KU Leuven) of the international conference SUM2020: The 14th International Conference on Scalable Uncertainty Management
PC co-chair (with Salem Benferhat - Artois University) of the international conference IEA/AIE’17 : The 30th International Conference on Industrial, Engineering, Other Applications of Applied Intelligent Systems.
Co-chair (with Salem Benferhat) of the special track Uncertainty, Heterogeneity, Reliability and Explainability in AI at IPMU2022
Co-chair (with Sylvain Lagrue - Artois University) of international Workshop CanimAI’17 : Computer Animation and Artificial Intelligence.
Co-chair (with Leopoldo Bertossi - Carleton University) of the special track "Uncertain Reasoning" at FLAIRS’30 conference.
Co-chair (with Mohand Said Allili - Université du Quebec en Outaouais) of the special track "Uncertain Reasoning" at FLAIRS’31.
2022 : IJCAI-ECAI'22, AAAI'22, KR'22, FLAIRS35, FoIKS22
2021 : IJCAI'21 (SPC), AAAI'21, FLAIRS34
2020 : AAAI'20, IJCAI-PRICAI'20, ECAI'20, ICAART'20, FLAIRS33
2019 : FLAIRS32, ICAART19, IJCAI19, ECSQARU'19, IEA/AIE19
2018 : CIIA 2018, FLAIRS31, IJCAI-ECAI'18, IEA/AIE'18
2017 : ECSQARU'17, SUM'17
2016 : JFRB'16, FLAIRS'16
2014 : LFA'14
2013 : ISPS'13 - International Symposium on Programming and Systems (http://isps.usthb.dz/)
2012 : SUM'12 - Sixth International Conference on Scalable Uncertainty Management (http://www.mathematik.uni-marburg.de/~sum2012/)
2011 : IJCAI'11, SUM'11 - Fifth International Conference on Scalable Uncertainty Management (http://www.wright.edu/academicaffairs/sum/)
Elm Ovation and some other tools for online and automatic video annotation developed within H2020 AniAge project ;
DecMining : Tools for declarative data mining achieved within ANR DAG project.
PiGM: A tool for Possibilistic networks modeling and reasoning achieved within PEPS Fascido 2015 MAPPOS.
PiNets: A benchmark of datasets and naive possibilistic nets (.bif format) learnt from data.
CLASSMISSDATA: A benchmark for classification with missing data.