About me
Hello! I am an Assistant Professor at EFREI Paris Panthéon-Assas Université and an associate member at the Complex Networks team in LIP6, Sorbonne Université. Previously, I worked as a postdoctoral researcher in the Complex Networks team in LIP6. I obtained my Ph.D. in Computer Science from University of Burgundy, France.
During my Ph.D., my research involved studying the interplay between the network's community structure, the underlying dynamics, and identifying influential nodes in complex networks. This work was conducted under the supervision of Pr. Hocine Cherifi. As a postdoctoral researcher, I focused on anomaly detection in temporal networks with Matthieu Latapy.
My research interests include: complex networks, machine learning, and data science for social good.
Conference proceedings
- Varshavsky, N., Rajeh, S., Vincent, G., & Chakchouk, F. (2026). Electric Vehicle Conversations on Twitter/X: A Tree-Based Analysis of Discussions. In International AAAI Conference on Web and Social Media (ICWSM), Los Angeles, CA - USA. (to appear in).
- Latapy, M., & Rajeh, S. (2025). Trivial Graph Features and Classical Learning are Enough to Detect Random Anomalies. In IEEE International Conference on Data Mining (ICDM), (pp. 1330-1339), Washington D.C. - USA.
- Barbour, J., Rajeh, S., Najem, S., & Cherifi, H. (2023). Evaluating network embeddings through the lens of community structure. In International Conference on Complex Networks and Their Applications (CNA), (pp. 440-451), Menton - France.
- Zein, H., Yassin, A., Rajeh, S., Jaber, A., & Cherifi, H. (2022). Community-aware Centrality Measures Using The Independent Cascade Model. In International Conference on Complex Networks and Their Applications (CNA) (pp. 588–599), Palermo - Italy.
- Rajeh, S., Savonnet, M., Leclercq, E., & Cherifi, H. (2022). Modularity-Based Backbone Extraction in Weighted Complex Networks. In International Conference on Network Science (NetSci-X), (pp. 67-79), Porto - Portugal.
- Rajeh, S., Savonnet, M., Leclercq, E., & Cherifi, H. (2021). Identifying Influential Nodes Using Overlapping Modularity Vitality. In IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), (pp. 257-264), Hague - Holland.
- Rajeh, S., Yassin, A., Jaber, A., & Cherifi, H. (2021). Analyzing Community-aware Centrality Measures Using The Linear Threshold Model. In International Conference on Complex Networks and Their Applications (CNA), (pp. 342-353), Madrid - Spain.
- Rajeh, S., Savonnet, M., Leclercq, E., & Cherifi, H. (2021). Comparing Community-aware Centrality Measures in Online Social Networks. In International Conference on Computational Data and Social Networks (CSoNet), (pp. 279-290), Montreal - Canada.
- Rajeh, S., Savonnet, M., Leclercq, E., & Cherifi, H. (2021). How Correlated Are Community-Aware and Classical Centrality Measures in Complex Networks?. In International Conference on Complex Networks (CompleNet), (pp. 120-132), Exeter - United Kingdom.
- Rajeh, S., Savonnet, M., Leclercq, E., & Cherifi, H. (2020). Investigating Centrality Measures in Social Networks with Community Structure. In International Conference on Complex Networks and Their Applications (CNA), (pp. 211-222), Madrid - Spain.
Journal publications
Rajeh, S., & Cherifi, H. (2023). A community-aware centrality framework based on overlapping modularity. Social Network Analysis and Mining, 13 (1), 37.
Rajeh, S., Savonnet, M., Leclercq, E., & Cherifi, H. (2023). Comparative evaluation of community-aware centrality measures. Quality & Quantity, 57(2), 1273-1302.
Rajeh, S., & Cherifi, H. (2022). Ranking influential nodes in complex networks with community structure. PLoS ONE, 17(8), e0273610.
Rajeh, S., Savonnet, M., Leclercq, E., & Cherifi, H. (2021). Characterizing the interactions between classical and community-aware centrality measures in complex networks. Scientific Reports, 11(1) 1-15.
Rajeh, S., Savonnet, M., Leclercq, E., & Cherifi, H. (2020). Interplay between hierarchy and centrality in complex networks. IEEE Access, 8, 129717-129742.
Teaching
- Open Science 101 (based on NASA's courseware): PhD students - EFREI Research Lab
- Machine Learning for Data Engineers (ST2MLD): M1/M2 - EFREI Paris Panthéon-Assas Université
- Enterprise Resource Planning (SAP): M1/M2 - EFREI Paris Panthéon-Assas Université
- Database Adminsitration and NoSQL: M1 - EFREI Paris Panthéon-Assas Université
- Data Science with Python: M1 - EFREI Paris Panthéon-Assas Université
- Data Science (XIM208): L1 - EFREI Paris Panthéon-Assas Université
- Mobile Programming in React Native (MMIA423): L2 - IUT de Dijon
- Database Management Systems (IQM2106): L2 - IUT de Dijon
- Computing Principles and Tools (7L2CNUM4): L1 - University of Burgundy
Academic services
- Reviewer: PLOS ONE, IEEE Access, Scientific Reports, Applied Network Science, Expert Systems with Applications, IEEE Transactions on Computational Social Systems, Engineering Applications of Artificial Intelligence, ...
- Web chair: International Conference on Complex Networks and Their Applications (2020 - 2023)
- Seminars given: Lebanese University (2022) and Sorbonne Center for Artificial Intelligence - SCAI (2023)
- Supervision: Supervising students pursuing their master's degree at the Lebanese University: Ali Yassin (2021), Nisrine Bahjat (2021), and Hawraa Zein (2022)
- Member in the local committee:
Hobbies and other interests
- Jogging and walking in nature
- Watching and playing football
- Animal rights
- Music
- Politics, history, and religion