BEN AYED Safa

Researcher-lecturer

sbenayedatcesi.fr

(+33) 6 72 55 29 85

24 rue du marché au filé
62000 Arras CEDEX

Research topics

  • Knowledge management
  • Uncertainty management / Belief function theory
  • Decision support / Machine learning
  • Information fusion
  • Predictive maintenance

 

Academic activities

  • Disciplines : Computer Science, Networks & Telecommunications, Electrical Engineering and Industrial Computing.
  • Modules : Algorithms, Operating systems, Object-oriented programming, Computer networks, Web development, Dynamic Web, Mathematical software tools, Internet technology.
  • Levels : DUT 1st and 2nd years, Licence 1st year.

Education

Ph.D. in Computer and Automatic Engineering, LGI2A –

Artois University, France

2020

PhD in Computer Science applied to Management, LARODEC

University of Tunis, Tunisia

2020

Master of Research in Sciences and Techniques of Business Intelligence

Institut Supérieur de Gestion - University of Tunis, Tunisia

Option Computer Science and Knowledge Management

2017

Master's degree in Data Mining and Knowledge Management

Polytech'Nantes -University of Nantes, France.

Option Knowledge Extraction from Data

2017

Bachelor Degree in Computer Science applied to Management

Institut Supérieur de Gestion - University of Tunis, Tunisia

2015

Ongoing research program

Collaborator in the ANR project  SCOPES 2022-2025

Supervision of thesis

Planned for 2022-2025

Scientific activity and laboratory life

Member of LINEACT as « Researcher - Lecturer »

Publications

Synthesis (2017-2022)

  • International journals :  2
  • National journals : 1
  • International conferences : 9
  • National conferences : 1

Selected publications

  • Ben Ayed, S., Elouedi, Z., & Lefevre., E. (2020). An Evidential Integrated Method for Maintaining Case Base and Vocabulary Containers within CBR Systems. Information Sciences, pp. 214-229. 
  • Ben Ayed, S., Elouedi, Z., & Lefevre., E. (2021). CIMMEP: Constrained Integrated Method for CBR Maintenance based on Evidential Policies. Applied Intelligence, pp. 1-16. 
  • Ben Ayed, S., Elouedi, Z., & Lefevre., E. (2019). Toward the Evaluation of Case Base Maintenance Policies Under the Belief Function Theory. In: 15th European Conference on Symbolic and Quantitative Approaches with Uncertainty (ECSQARU) (pp. 113-124).
  • Ben Ayed, S., Elouedi, Z., & Lefevre., E. (2018). CEC-Model: A new competence model for CBR systems based on the belief function theory. In: 26th International Conference on Case-Based Reasoning (ICCBR) (pp. 28-44).
  • Ben Ayed, S., Elouedi, Z., & Lefevre., E. (2017). ECTD: Evidential Clustering and case Types Detection for case base maintenance. In: 14th International Conference on Computer Systems and Applications (AICCSA) (pp. 1462- 1469).