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Ali Ahmad El Attar

Ali Ahmad El Attar

Faculty of Computer Studies
Faculty of Computer Studies
Program Coordinator of the MSc Program
Contact Information
01/392139 Ext. 6816
aattar@aou.edu.lb
Office Badaro, Lebanon, 4th floor

Professional Biography

Dr. Ali EL ATTAR is an Assistant Professor in Computer Science and Applied Mathematics at Arab Open University, holding a Ph.D. from Polytech Nantes, Nantes University, France (2012). Specializing in data science, artificial intelligence, cybersecurity and applied mathematics, Dr. Ali EL ATTAR brings extensive research experience and a robust academic background, having taught at universities in France and Lebanon. Known for innovative contributions to both education and research, they have published widely and are dedicated to advancing knowledge in key technological and mathematical fields essential for the development of secure, data-driven, and intelligent systems.

Courses Taught

  • -          Python Programming

    -          Applied statistical modelling

    -          Data Visualization

    -          Discrete Mathematics

    -        Relational Databases

Professional Experience

·   Course Coordinator, Assistant Professor, Faculty of Computer Studies. (Since Oct. 2023), Arab Open University, Badaro, Lebanon

· Researcher, InDiD (Infrastructure Digital de Demain) European Project, for Cooperative Intelligent Transport Systems (C-ITS).(Mars 2022 – Sept 2023), Telecom Paris, Polytechnic Institute of Paris, France

·   Assistant professor of Computer Science and Applied Mathematics, Engineering Department. (May 2022-Sept 2023),  Efrei, Engineering School of Digital Technologies, Paris, France

·  Academic Director, Assistant Professor, Head of Computer Science Department and Communication Engineering Department.(June 2018 - Feb 2022), Art, Sciences and Technology University in Lebanon, Chtaura Campus, Lebanon

·   Assistant Professor, Head of Computer Science in Business Department.  (Sept 2020 – Feb 2022), Jinan University, Lebanon

· Assistant Professor, Computer Science Department. (Sept 2021 – Feb 2022), Lebanese International University (LIU), Lebanon

· Assistant Professor - Coordinator, Business Department, Computer Science and Engineering Department.  (Feb 2015 – Feb 2020), Islamic University of Lebanon, Lebanon

·   Researcher, CPER CyNIC Project in the Champagne-Ardenne region. (Dec 2012 - Dec 2014), University of Technology of Troyes, Troyes, France

· Assistant Professor, Computer Science Department. (Dec 2012 – Dec 2014), University of Technology of Troyes – France

·  ATER (Temporary Teaching and Researcher Associate), Engineering department. (Sept 2010 - Aug 2012), Polytech Engineering School, University of Nantes, Nantes, France   

·   Teaching Vacancies, Engineering Department. (May 2008 - Aug 2010), Polytech Engineering School, University of Nantes, Nantes, France   

· PhD Thesis in Computer Science and Applied Mathematics.  (May 2008 - July 2012), LINA Laboratory, Polytech Engineering School, University of Nantes, Nantes, France   

Research Publications

·   EL ATTAR, A. PIGEAU and M. GELGON: Fast aggregation of student mixture models. In the European Signal Processing Conference (Eusipco 2009), Glasgow, Scotland, August 2009. 

·     EL ATTAR, A. PIGEAU and M. GELGON: A decentralized and robust approach to estimating a probabilistic mixture model for structuring distributed data. In Proceedings of the 2011 IEEE/WIC/ACM International Conference on Web Intelligence, Lyon, France, August 2011.

·   EL ATTAR, A. PIGEAU and M. GELGON: A decentralized technique for robust probabilistic mixture modelling of a distributed data set. In Intelligent Distributed Computing V – Proceedings of the 5th International Symposium on Intelligent Distributed Computing, Delft, Netherlands, October 2011.

·    EL ATTAR, A. PIGEAU and M. GELGON: Robust estimation of a global Gaussian mixture by decentralized aggregations of local models. Web Intelligence and Agent Systems Journal 11(3): 245-262 (2013).

·    EL ATTAR, R. KHATOUN and M. LEMERCIER:  Diagnosing Smartphone’s Abnormal Behaviour through Robust Outlier Detection Methods. In the 4th Global Information Infrastructure and Networking Symposium, GIIS 2013, Trento Italy, October 2013. 

·  EL ATTAR, R.  KHATOUN, B. BIRREGAH and M. LEMERCIER: Robust Clustering Methods for Detecting Smartphone’s Abnormal Behaviour. IEEE Wireless Communications and Networking Conference (WCNC), Istanbul, Turkey, April 2014. 

·  EL ATTAR, R. KHATOUN and M. LEMERCIER: Clustering-based Anomaly Detection for Smartphone Applications. In the 6th IEEE/IFIP International Workshop on Management of the Future Internet, Krakow, Poland, May 2014. 

·  EL ATTAR, R. KHATOUN and M. LEMERCIER: Trimming Approach of Robust Clustering for Smartphone Behavioral Analysis. In the 12th IEEE International Conference on Embedded and Ubiquitous Computing, Milan, Italy, August 2014. 

·  EL ATTAR, R. KHATOUN and M. LEMERCIER: A Gaussian Mixture Model for Dynamic Detection of Abnormal Behavior in Smartphone Applications. In the 5th Global Information Infrastructure and Networking Symposium, GIIS 2013, Montreal, Canada, September 2014. 

·  EL ATTAR, A. FADLALLAH, F. CHBIB and R. KHATOUN: Unsupervised Learning Algorithms for Denial of Service Detection in Vehicular Networks. International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME), Maldives, November 2022. 

·  MUSTAPHA, R. KHATOUN, S. ZEADALLY, F. CHBIB, A. FADLALLAH and A. EL ATTAR: Detecting DDoS attacks using adversarial neural network. Computer Security Journal 127: 103117 (2023). 

·  W. FAHS, F. CHBIB, A. RAMMAL, R. KHATOUN, A. EL ATTAR, I. ZAYTOUN and J. HACHEM: Traffic Congestion Prediction Based on Multivariate Modelling and Neural Networks Regressions. Procedia Computer Science Journal 220, 202-209 (2023). 

·   JAMAL, A. EL ATTAR, R. KHATOUN and F. CHBIB: Comparison of data cleansing methods for network DDoS attacks mitigation. In the 9th international Conference on Control, Decision and Information Technologies, Rome, Italy, July 2023. 

· O. BERJAWI, A. EL ATTAR, F. CHBIB, W. FAHS and R. KHATOUN: Cyberattacks Detection through Behavior Analysis of Internet Traffic. Procedia Computer Science Journal, 2023. 

·  EL ATTAR, A. WEHBY, F. CHBIB, R. KHATOUN, A. FADLALLAH and J. HACHEM: Analysis of machine learning algorithms for DDoS attack detection in connected cars environment. In 8th International Conference on Mobile and Secure Services, Miami, Florida, USA, November 2023. 

·  EL ATTAR, R. KHATOUN, F. CHBIB and A. SERHROUCHNI: DNS flooding attack detection scheme through Machine Learning. The 20th International Wireless Communications & Mobile Computing Conference (IWCMC), Cyprus, May 2024. 

·    Hodroj, M. Hatoum, K. Samrouth, A. EL Attar:  Securing Personal Data on Smartphones: Addressing APT Challenges and Phishing Threats. ICITEB, India 2024