Elhadi Shakshuki

About

Elhadi Shakshuki is a leading researcher in intelligent systems, with key contributions spanning robotics, multi-agent architectures, and vehicular safety. His work on the application of tabu search for global robot path planning in grid environments—garnering 38 citations—demonstrates his ability to adapt metaheuristic algorithms to solve complex spatial problems, proposing a novel planner that balances efficiency and optimality. Shakshuki has also advanced the field of cooperative robotics through the development of COROS, a multi-agent software architecture for autonomous service robots, which has been cited 23 times. In the domain of intelligent transportation, his context-aware driver assistance systems, with 27 citations, integrate vehicle-to-vehicle and vehicle-to-infrastructure communication to enhance road safety, addressing critical challenges in real-time situational awareness. His work on robots and sensor clouds further bridges robotics with cloud computing, enabling scalable, data-driven autonomy. With over 120 citations across his most influential papers, Shakshuki’s research has shaped practical solutions in autonomous navigation and driver safety, making him a notable figure in the intersection of AI, robotics, and smart transportation systems.

Research Focus

Key Achievements

Top Papers

1. 1
   On the Adequacy of Tabu Search for Global Robot Path Planning Problem in Grid Environments

   38 citations · 2014
2. 2
   Robots and Sensor Clouds

   30 citations · 2015
3. 3
   Context-Aware Driver Assistance System

   27 citations · 2012
4. 4
   COROS: A Multi-Agent Software Architecture for Cooperative and Autonomous Service Robots

   23 citations · 2015
5. 5
   Integrated Context-Aware Driver Assistance System Architecture

   4 citations · 2013
6. 6
   Integrated Context-Aware Driver Assistance System Architecture

   2 citations · 2013

Key Collaborators

Contact & Links