Rehab F. Abdel-Kader | Smart Transportation Systems | Women Researcher Award

Prof. Rehab F. Abdel-Kader | Smart Transportation Systems | Women Researcher Award

Chair of Graduate Studies and Research | ElSewedy university of technology | Egypt

Prof. Rehab F. Abdel-Kader is a distinguished Professor of Computer Engineering and Chair of Graduate Studies and Research at ElSewedy University of Technology, Cairo, Egypt. Her academic journey spans Auburn University, Tuskegee University, and Suez-Canal University, culminating in a Ph.D. in Computer Science and Engineering (2003). With more than two decades of research and teaching experience, her expertise encompasses artificial intelligence, image processing, computer vision, big data analytics, and intelligent optimization algorithms. Prof. Abdel-Kader has authored and co-authored over 70 peer-reviewed publications in high-impact international journals and conferences, contributing significantly to areas such as deep learning-based image analysis, optimization for IoT and cloud-fog systems, and AI-driven smart infrastructure. Her scholarly impact is reflected in Cited by: All 1077, Since 2020 524, h-index 18 (12 since 2020), and i10-index 22 (15 since 2020). She has served as Principal Investigator for major funded projects, including the Science and Technology Development Fund (STDF) grant for “AI End-to-End Multi-Sensor Pavement Distress Detection” and collaborative initiatives with Microsoft and Nile University on intelligent systems for real-time environmental and urban management. Her academic influence extends globally through editorial roles in engineering journals, Springer book editorships, and conference leadership such as the International Conference on Advanced Machine Learning and Technologies and Applications (AMLTA) and Engineering Solutions Toward Sustainable Development (ESSD). Prof. Abdel-Kader’s mentorship of numerous Ph.D. and M.Sc. students has advanced applied AI research in Egypt and beyond. Her work bridges academia, industry, and policy, fostering sustainable technological innovation and contributing to the digital transformation of engineering education and infrastructure systems.

Profile: Scopus | Google Scholar | ORCID
Featured Publications:
  • Ramadan, R. M., & Abdel-Kader, R. F. (2009). Face recognition using particle swarm optimization-based selected features. International Journal of Signal Processing, Image Processing and Pattern Recognition.

  • Abdel-Kader, R. F. (2010). Genetically improved PSO algorithm for efficient data clustering. 2010 Second International Conference on Machine Learning and Computing, 71–75.

  • Abdel-Kader, R. F. (2011). Hybrid discrete PSO with GA operators for efficient QoS-multicast routing. Ain Shams Engineering Journal, 2(1), 21–31.

  • Magdy, A., Hussein, H., Abdel-Kader, R. F., & Abd El Salam, K. (2023). Performance enhancement of skin cancer classification using computer vision. IEEE Access, 11, 72120–72133.

  • Moussa, A. M., & Abdel-Kader, R. F. (2011). Qasyo: A question answering system for YAGO ontology. International Journal of Database Theory and Application, 4(2), 99–112.

  • Hedeya, M. A., Eid, A. H., & Abdel-Kader, R. F. (2020). A super-learner ensemble of deep networks for vehicle-type classification. IEEE Access, 8, 98266–98280.

Rehab Abdel-Kader’s research advances artificial intelligence and computational intelligence through innovative applications of particle swarm optimization, machine learning, and deep learning. Her work has significantly contributed to enhancing pattern recognition, medical image analysis, and intelligent data processing, driving scientific progress and fostering technological innovation across healthcare, transportation, and information systems worldwide.