Professor | King Fahd University of Petroleum and Minerals | Saudi Arabia
Prof. Tarek Rahil Sheltami is a distinguished researcher at King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia, whose extensive work spans across wireless communication networks, intelligent transportation systems, and optimization algorithms. With an impressive 188 publications, over 3,372 citations, and an h-index of 31, his research reflects both depth and influence in advancing smart and connected technologies. His recent studies emphasize dynamic traffic network optimization, intelligent mobility, and deep reinforcement learning-based spectrum sharing—key enablers of next-generation smart cities and autonomous systems. Dr. Sheltami’s contributions to network security, particularly in optimizing device hardening in multivendor environments, demonstrate a commitment to enhancing reliability and safety in complex infrastructures. His investigations into last-mile delivery optimization, drone-assisted logistics, and vehicular communication systems integrate artificial intelligence, machine learning, and simulation-based modeling to solve real-world mobility challenges. As a collaborator in numerous interdisciplinary projects, he has significantly influenced the development of smart transportation ecosystems, Internet of Things (IoT) applications, and cyber-physical systems. His editorial and conference contributions, such as the 1st International Conference on Smart Mobility and Logistics Ecosystems (SMiLE 2024), further underscore his leadership in bridging research and innovation in digital transportation. Overall, Dr. Sheltami’s scholarly portfolio represents a fusion of computational intelligence, network optimization, and sustainable urban mobility solutions, positioning him as a pivotal figure in shaping the future of smart, secure, and adaptive communication systems.
Profiles: Scopus | ORCID | Google Scholar
Featured publications
1. Shakshuki, E., Kang, N., & Sheltami, T. (2013). EAACK—A secure intrusion detection system for MANETs. IEEE Transactions on Industrial Electronics, 60(3), 1089–1098.
Cited by: 527
2. Kang, N., Shakshuki, E. M., & Sheltami, T. R. (2010). Detecting misbehaving nodes in MANETs. Proceedings of the 12th International Conference on Information Integration and Web-based Applications & Services (iiWAS), 216–222.
Cited by: 154
3. Chaer, A., Salah, K., Lima, C., Ray, P. P., & Sheltami, T. (2019). Blockchain for 5G: Opportunities and challenges. 2019 IEEE Globecom Workshops (GC Wkshps), 1–6.
Cited by: 146
4. Akhlaq, M., Sheltami, T. R., & Mouftah, H. T. (2012). A review of techniques and technologies for sand and dust storm detection. Reviews in Environmental Science and Biotechnology, 11(3), 305–322.
Cited by: 141
5. Sheltami, T., Al-Roubaiey, A., Shakshuki, E., & Mahmoud, A. (2009). Video transmission enhancement in presence of misbehaving nodes in MANETs. Multimedia Systems, 15(5), 273–282.
Cited by: 139
