Wissem Dilmi
Papers
1
Total Citations
7
H-Index
1
About
Wissem Dilmi is a researcher at the forefront of intelligent logistics and embedded AI, with a focus on automating supply chains through the integration of unmanned aerial vehicles (UAVs) and ground robots. His most-cited work, "Technical Aspects of Deploying UAV and Ground Robots for Intelligent Logistics Using YOLO on Embedded Systems" (2025, 7 citations), tackles the critical challenge of real-time object recognition and decision-making in resource-constrained environments. By leveraging YOLO-based vision AI on embedded platforms, Dilmi demonstrates how automation can dramatically enhance efficiency, reduce operational costs, and minimize human error—key factors for building resilient, next-generation logistics networks. His contributions lie at the intersection of robotics, computer vision, and edge computing, offering practical pathways for deploying autonomous fleets in dynamic settings. As a rising voice in this domain, Dilmi’s work is already shaping how researchers and engineers approach the fusion of AI and robotics for real-world industrial applications, making his profile essential reading for anyone interested in the future of smart logistics.
Research Focus
Key Achievements
Top Papers
- 1