• -          Python Programming

  -          Applied statistical modelling

  -          Data Visualization

  -          Discrete Mathematics

  -        Relational Databases

·   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   

·   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 4^th 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 12^th 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 5^th 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 9^th 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 8^th 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 20^th 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