Researcher-lecturer
Contact
Email :
mhindawi[at]cesi.fr
Phone number : +33 (0)7 87 25 58 77
Research team
Engineering and Numerical Tools
Educational activities
- Disciplines : Computer Science (Embedded Systems, Object-Oriented Programming, Database Management Systems, AI, Advanced algorithms)
- Level : Engineers 1st and 2nd years
Background
- PhD in Computer Science
National Institute of Applied Sciences (INSA), Lyon, 2013
« Feature Selection for Semi-Supervised Data Analysis in Decisional Information Systems » - Master of Research
National Institute of Applied Sciences (INSA), Lyon, 2008
Knowledge and Decision - Master of Science
University, Syria, 2006
Software Engineering and Information Systems Aleppo - Bachelor of Science
University, Syria, 2005
Computer science – Software Engineering and Information Systems Aleppo
Research interest
Data Mining, Big data, (Fuzzy, collaborative, on-line, incremental) Clustering, (Semi-supervised, Unsupervised, Supervised) Learning, Dimensionality Reduction (Feature Selection and Extraction), Ensemble Methods.
Current Research Program
Dimensionality Reduction in semi-supervised learning
PhD supervision
- Trésor YAO KOFFI : Towards a multimodal approach using machine/deep learning: Application for patient monitoring in a connected space
Scientific animation
- Advanced Automation: IA and Data science.
- Member of research group : frugal et embedded IA
Publications
- ACL : 3
- C-ACTI : 7
- C-ACTN : 2
- C-COM : 1
Selected publications
- Mohammed Hindawi, Yasir Basheer, Saeed Mian Qaisar, Asad Waqar. “An Overview of Artificial Intelligence Driven Li-Ion Battery State Estimation”. Chapitre d’ouvrage scientifique – février 2024 – 1
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TY. Koffi, Y. Mourchid, M. Hindawi, Y. Dupuis. « Machine Learning and Feature Ranking for Impact Fall Detection Event Using Multisensor Data ». The IEEE International Workshop on MultiMedia Signal Processing (MMSP 2023).
- Khalid Benabdeslem, Haytham Elghazel, Mohammed Hindawi, ”Ensemble constrained Laplacian score for efficient and robust semi-supervised feature selection.,” Knowledge and Information Systems KAIS, 49(3) : 1161-1185 (2016)
- Khalid Benabdeslem, Mohammed Hindawi, Raywat Makkhongkaew, ”Weighting Based Approach for Semi-supervised Feature Selection.,” (ICONIP 2015) : 300-307
- Khalid Benabdeslem, Mohammed Hindawi, ”Efficient Semi-supervised Feature Selection: Constraint, Relevance and Redundancy,” IEEE Transactions on Knowledge and Data Engineering TKDE, 26(5): 1131-1143 (2014). IEEE computer Society Digital Library. IEEE Computer Society.
- Mohammed Hindawi, Khalid Benabdeslem, ”Local-to-Global Semi-Supervised Feature Selection”. Accepted by 22nd ACM International Conference on Information and Knowledge Management (CIKM 2013)
- M. Hindawi, K. Allab, K. Benabdeslem. Constraint selection based semi-supervised feature selection. In the proceeding of ICDM. IEEE International Conference on Data Mining, pp 1080-1085, 11-14 December 2011