Dr. khedher Ibtissem | Predictive Analytics – National school of computer science | Tunisia
Ibtissem Khedher is a highly dedicated academic and researcher in computer science with a deep-seated passion for intelligent systems, machine learning, and digital safety applications. With nearly a decade of teaching and research experience across Tunisian institutions, she has consistently demonstrated a commitment to advancing computer science education while contributing meaningfully to cutting-edge domains such as crowdsourcing, road safety intelligence, and functional programming. Her work reflects a rare blend of academic rigor and practical impact, especially in the emerging intersection of artificial intelligence and public safety. Ibtissem is a proactive contributor to the scientific community through conferences, peer-reviewed journals, and scholarly engagements that bridge academia with societal relevance.
Professional Profile
Education
Ibtissem is currently pursuing her Ph.D. in Computer Science at the National School for Computer Science, Manouba University, in collaboration with the LTSIRS Laboratory at the National Institute of Applied Sciences and Technology, University of Carthage. Her doctoral research focuses on intelligent models for enhancing road safety within smart city frameworks. She holds a Master’s research degree (2013–2015) in Knowledge and Distributed Systems, completed under a joint collaboration between the University of Jendouba and the LIRIS Laboratory at the University of Lyon 1, France. Her Master’s thesis tackled trust evaluation in web services through Sybil-tolerant systems. She also obtained a national diploma in Applied Computer Science to Management (2010–2013), with her study project exploring spatio-temporal modeling of land use changes — reflecting early intersections between GIS and computation in her academic journey.
Experience
Ibtissem has built a rich academic teaching portfolio since 2016, working with multiple institutions such as the Faculty of Legal and Economic Sciences and Management of Jendouba, the Higher Institute of Technological Studies of Jendouba, and the Higher Institute of Computer Science of Kef. She has taught a diverse range of subjects including object-oriented programming, distributed systems, project management, database administration, multimedia techniques, and web application security. Her teaching experience is marked by a strong pedagogical foundation and consistent contribution to undergraduate and applied technological programs, nurturing student skills in both theoretical and practical computer science.
Research Interests
Her research interests are multifaceted and evolving, centered around machine learning, deep learning, geographic information systems (GIS), functional programming languages, and crowdsourcing platforms. More recently, she has been devoted to the use of artificial intelligence to enhance road safety in smart cities. Through novel classification and clustering techniques, she addresses real-world challenges such as accident prediction, traffic severity analysis, and safety recommendation systems. Her interdisciplinary focus integrates data science, urban informatics, and human-computer interaction, aimed at deploying scalable solutions for intelligent transportation systems.
Awards and Recognition
Ibtissem’s consistent research outputs and participation in international conferences have earned her recognition within academic circles. She has attended and presented at ranked conferences such as CODIT, INISTA, and WISE, and her scholarly publications have appeared in top-tier journals like World Wide Web (Q1) and SN Computer Science (Q2). She has completed multiple international training sessions in scientific writing, peer reviewing, and publication platforms such as Springer Nature and Scopus, highlighting her ongoing engagement with scholarly best practices. She is also certified in professional manuscript writing, entrepreneurship, communication, and academic search techniques, reflecting her broad academic versatility.
Publications
Khedher, I., Faci, N., & Faiz, S. (2025). “Safe-Path: A Perspective on Next-Generation Road Safety Recommendations” in Proceedings of WISE 2024, Springer. [DOI: 10.1007/978-981-96-0573-6_30] (Cited by 5)
Khedher, I., Rjaibi, N., Khedher, M., & Faiz, S. (2025). “An Analytical Framework for Clustering Roads Based on Crash Severity Analysis” in SN Computer Science. [DOI: 10.1007/s42979-025-04097-9] (Cited by 7)