Tarek Sheltami
Papers
5
Total Citations
125
H-Index
4
About
Tarek Sheltami is a leading researcher at the intersection of intelligent transportation systems, logistics optimization, and robotic control. His work is defined by a commitment to solving real-world engineering challenges through context-aware and AI-driven solutions. A major contribution is his comprehensive review of last-mile delivery optimization, which explores the integration of drones, IoT, and artificial intelligence to transform modern logistics—a work that has already garnered 68 citations since its 2025 publication. In the domain of vehicular safety, Sheltami has developed context-aware driver assistance systems that leverage vehicle-to-vehicle and vehicle-to-infrastructure communication to enhance road safety. His research extends into advanced control theory, where he has introduced an improved particle swarm optimization (IPSO) technique for fractional-order PID control in robotic manipulators, achieving 24 citations and demonstrating the practical application of metaheuristic algorithms. With a portfolio that bridges theoretical innovation and applied technology, Sheltami’s work continues to shape the future of autonomous systems and smart mobility, making him a key figure for students and researchers interested in the convergence of AI, robotics, and transportation.
Research Focus
Key Achievements
Top Papers
- 1
- 2Context-Aware Driver Assistance System27 citations · 2012
- 3
- 4Integrated Context-Aware Driver Assistance System Architecture4 citations · 2013
- 5Integrated Context-Aware Driver Assistance System Architecture2 citations · 2013