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Profile Details

Allel HADJALI

Country: NA

Education: Unknown

Affiliation: LIAS/ENSMA

Domain of Research: Intelligent Systems,Artificial Intelligence,Artificial Intelligence,Big Data,Computational Intelligence,Data Science,Databases,Decision Making,Fuzzy Logic,Machine Learning,Unmanned Systems

Biography: Allel HADJALI is Full Professor in Computer Science at the National Engineering School for Mechanics and Aerotechnics (ISAE-ENSMA), Poitiers, France. He is a member of the Data & Model Engineering research team of the Laboratory of Computer Science and Automatic Control for Systems (LIAS/ISEA-ENSMA). His main area of research falls within Data Science field, and more specifically, the research topics related to Data Exploitation & Analysis, Knowledge Extraction and Explainability. His current research interests include Soft Computing and Computational Intelligence in Databases, Trusted and Explainable Artificial Intelligence. His recent works were published in well-known journals (e.g., Applied Soft Computing, Knowledge and Information Systems, Fuzzy Sets and Systems, International Journal of Intelligent Systems, Journal of Intelligent Information Systems and Annals of Mathematics and Artificial Intelligence). He also published several papers in International Conferences (ESWC, ICTAI, Fuzz-IEEE, DEXA, FQAS, ISMIS, IPMU, IFSA, ACM SAC, VLDB and EDBT (demo papers)). He co-organized several special sessions, e.g., "Advances in Data Management in the Context of Incomplete Databases” in conjunction with IFSA (2015) Conference and “Uncertainty in Cloud Computing” in conjunction with DEXA (2017) Conference. He co-organized also several special issues in well-known journals, among them, "On Advances in Soft Computing Applied to Databases and Information Systems" in Fuzzy Sets and Systems Journal (2011), “Uncertain Cloud” in International Journal of Approximate Reasoning (2019). The complete list of his publications is available in http://www.lias-lab.fr/members/allelhadjali.

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  • Amsterdam, The Netherlands

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15-16 October 2026

  • Berlin, Germany
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