Faculty Img
  • Phone:

    +966-13-849-9224

  • Email:

    ijenhani@pmu.edu.sa

  • Office No:

    S-020

  • Ilyes Jenhani, Ph.D.

  • Job Title :

    Chair

    Assistant Professor

  • College :

    College of Computer Engineering and Science


  • Department :

    Information Technology


Ilyes Jenhani obtained his Ph.D. in Computer Science from Artois University (France) in 2010. Since 2014, he is an assistant professor in the Information Technology department at Prince Mohammad bin Fahd University (KSA). Before joining PMU, he served as a lecturer at the Higher Institute of Management (ISG Tunis) and as an assistant professor at the Faculty of Economic and management sciences (FSEG Tunis). His research interests include Machine learning (classification, clustering and feature selection) from uncertain data, uncertain reasoning, Artificial Immune Systems, Educational Data Mining and Mining Software Repositories. He has many publications related to these topics in international refereed journals and conferences. In addition, Dr. Jenhani served in the PC of many international conferences and as a reviewer in several international journals.

 

  • Ph.D. in Computer Science, University of Artois, France, 2010
  • M. Sc. in Business Computer Science, Higher Institute of Management, Tunisia, 2005
  • B. Sc. in Business Computer Science, Higher Institute of Management, Tunisia, 2003.

 

 

Refereed Journals and Book Chapters

 

  • Lobna Ghadhab, Ilyes JenhaniMohamed Wiem Mkaouer, Montassar Ben Messaoud (2021) Augmenting Commit Classification by using fine-grained source code changes and a pre-trained Deep Neural Language Model, Information and Software Technology, 135, 106566. Elsevier.
  • Ilyes Jenhani, Ghassen Ben Brahim and Ammar El Hassan (2020) A Novel Possibilistic Artificial Immune based Classifier for Course Learning Outcome Enhancement. Knowledge and Information Systems, 62 (9), 3535-3563. Springer.
  • Omar Darwish, Ala Al-Fuqaha, Ghassen Ben Brahim, Ilyes Jenhani and Athanasios Vasilakos (2019) Using hierarchical statistical analysis and deep neural networks to detect covert timing channels. Applied Soft Computing, 82, 105546. Elsevier.
  • Ammar El Hassan, Ilyes Jenhani and Ghassen Ben Brahim (2018) Remedial Actions Recommendation via Multi-Label Classification: A Course Learning Improvement Method. International Journal of Machine Learning and Computing (IJMLC), 8 (6), 583-588.
  • Rim Hentech, Ilyes Jenhani and Zied Elouedi (2015) Possibilistic AIRS induction from uncertain data. Soft Computing, Article DOI: 10.1007/s00500-015-1627-3. Springer-verlag.
  • Sakthi Subburayalu, Ilyes Jenhani and Brian Slater (2013) Disaggregation of component soil series on an Ohio County soil survey map using possibilistic decision trees. Geoderma, vol. 213 pp. 334-345, Elsevier.
  • Ilyes Jenhani and Zied Elouedi (2012) Re-visiting the Artificial Immune Recognition System classifier : a survey and an improved version. Artificial Intelligence Review, DOI 10.1007/s10462-012-9360-0, Springer-Verlag.
  • Ilyes Jenhani, Salem Benferhat and Zied Elouedi (2010) Possibilistic Similarity measures. In B. Bouchon-Meunier et al. (Eds.) Foundations of Reasoning under Uncertainty. Studies in Fuzziness and Soft Computing, vol. 249/2010 pp. 99-123. Springer-Verlag.
  • Ilyes Jenhani, Salem Benferhat and Zied Elouedi (2010) Learning and evaluating possibilistic decision trees using information affinity. International Journal of Electrical and Electronics Engineering, vol. 4 (3) pp. 206-212.
  • Ilyes Jenhani, Nahla Ben Amor and Zied Elouedi (2008) Decision trees as possibilistic classifiers. International Journal of Approximate Reasoning, Vol. 48 (3) pp. 784-807. Elsevier.

 

Refereed Conference Proceedings

 

  • Montassar Ben Messaoud, Ilyes Jenhani, Nermine Ben Jemaa and Mohamed Wiem Mkaouer “A Multi-label Active Learning Approach for Mobile App User Review Classification”, 12th International Conference on Knowledge Science, Engineering and Management (KSEM 2019). August 2019, Athens, Greece.
  • Cyrine Gharbi, Mohamed Wiem Mkaouer, Ilyes Jenhani and Montassar Ben Messaoud “On the classification of software change messages using Multi-label Active learning”, 2019 34th ACM/SIGAPP Symposium on Applied Computing (SAC 2019): pp. 1760-1767. April 2019, Limassol, Cyprus.
  • Ilyes Jenhani, Ghassen Ben Brahim, Ammar Elhassan "Remedial Actions Recommendation via Multi-Label Classification: A Course Learning Improvement Method", 2018 the International Conference on Pattern Recognition and Artificial Intelligence (PRAI 2018), NJ, USA.
  • Ilyes Jenhani and Zied Elouedi (2017). AIRS-GA: A Hybrid Deterministic Classifier Based on Artificial Immune Recognition System and Genetic Algorithm. 2017 IEEE SSCI, Hwaii, USA.
  • Ilyes Jenhani, Montassar Ben Messaoud, Eya Garci, and Toon De Pessemier (2017). SemCoTrip: A variety-seeking model for recommending travel activities in a composite trip
  • Ilyes Jenhani, Ghassen Ben Brahim and Ammar Elhassan (2016). Remedial Action  Classification for Improvement of Learning Outcome Performance.
  • Rim Hentech, Ilyes Jenhani and Zied Elouedi (2013) Learning from uncertain Data using Possibilistic Artificial Immune Recognition Systems. In Proceedings of the 2nd International Conference on the Theory and Practice of Natural Computing (TPNC 2013): pp. 80-95. Lecture Notes in Computer Science (LNCS, volume 8273). Springer-Verlag. December 2013, Cáseras, Spain.
  • Ilyes Jenhani, Salem Benferhat and Zied Elouedi (2009) On the use of clustering in possibilistic decision tree induction. In Proceedings of the 10th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU 2009): pp. 505-517. Lecture Notes in Artificial Intelligence (LNAI, volume 5590). Springer-Verlag. July 2009, Verona, Italy.
  • Ilyes Jenhani, Salem Benferhat and Zied Elouedi (2008) Properties Analysis of Inconsistency-based Possibilistic Similarity Measures. In Proceedings of the 12th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2008): pp. 173-180. June 2008, Malaga, Spain.
  • Ilyes Jenhani, Nahla Ben Amor, Salem Benferhat and Zied Elouedi (2008) SIMPDT: A Similarity Based Possibilistic Decision Tree Approach. In Proceedings of the 5th International Symposium on Foundation of Information and Knowledge Systems (FoIKS 2008): pp. 348-364. Lecture Notes in Computer Science (LNCS, volume 4932). Springer-Verlag. February 2008, Pisa, Italy.
  • Ilyes Jenhani, Nahla Ben Amor, Zied Elouedi, Salem Benferhat and Khaled Mellouli (2007) Information Affinity: A new Similarity Measure for Possibilistic Uncertain Information. In Proceedings of the 9th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU 2007): pp. 840-852. Lecture Notes in Artificial Intelligence (LNAI, volume 4724). Springer-Verlag. November 2007, Hammamet, Tunisia.
  • Ilyes Jenhani, Zied Elouedi, Nahla Ben Amor and Khaled Mellouli (2005) Qualitative Inference in Possibilistic Option Decision Trees. In Proceedings of the 8th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU 2005): pp. 944-955. Lecture Notes in Artificial Intelligence (LNAI, volume 3571). Springer-Verlag. July 2005, Barcelona, Spain.

 

  • Classification and Clustering
  • Machine learning
  • Data mining under uncertainty
  • Uncertain reasoning
  • Artificial Immune Systems

 

Reviewer for the international journal:
«NeuroComputing».
Reviewer for the international journal: « IEEE Transactions on Fuzzy Systems».

Sub reviewer for "Colloque sur l’optimisation et les systèmes d’information",
Alger, Algeria, 9-11 June 2013.

Reviewer for the international journal: «Artificial Intelligence in Medicine ».

Sub reviewer for The 7th International Computing Conference in Arabic (ICCA-
011), Riyadh, Saudi Arabia, 31 Mai - 2 June 2011.

Sub reviewer for The 8th ACS/IEEE International Conference on Computer Systems and Applications (AICCSA-2010), Hammamet, 16-19 Mai 2010.

Sub reviewer for The 2006 IEEE/WIC/ACM International Conference on Web Intelligence (WI-2006), Hong Kong, 18-22 December 2006.