Research
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Research interests
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).
Projects and fundings
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 .
PhD students
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.
Program committees
PC (co)chair
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.
PC member
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/)
Software and benchmarks
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.