Badran Raddaoui

Badran Raddaoui serves as a Lecturer within the Data Engineering team at Laboratory LIAS, a joint research unit between ENSIP (École Nationale Supérieure d'Ingénieurs de Poitiers) and ISAE-ENSMA under the University of Poitiers. His academic work bridges theoretical computer science and practical data engineering applications, with primary affiliations in Poitiers, France.

His research concentrates on Artificial Intelligence with specialized focus on Argumentation Systems, Inconsistency Measures in knowledge bases, and Data Mining techniques for incomplete databases. Key contributions include evidence-theory-based argumentation frameworks, conflict-resolution methodologies for knowledge ranking, and pattern-mining algorithms for correlated data structures. His work demonstrates strong integration of logical formalisms with real-world data challenges.

As an active member of LIAS's Data Engineering team, Raddaoui collaborates within a multidisciplinary environment spanning automatic control and real-time systems research. The laboratory maintains dual locations at ENSIP in Poitiers and ISAE-ENSMA in Chasseneuil, facilitating cross-institutional projects in intelligent data processing and knowledge-based system development.