Papers
12
Total Citations
239
H-Index
7
About
Abdellah Chehri is a leading researcher at the intersection of artificial intelligence, robotics, and next-generation wireless communications, with a particular focus on enabling the Industrial Internet of Things (IIoT) and Industry 4.0. His work is defined by a practical, systems-level approach, applying deep reinforcement learning to give robotic arms autonomous grasping capabilities (66 citations) and developing frameworks for IoT-enabled object detection in remote sensing imagery (27 citations). Chehri has made significant contributions to critical infrastructure, notably pioneering the use of flying robots and AI for accelerating power grid monitoring (28 citations) and designing realistic 5.9 GHz DSRC protocols for vehicle-to-vehicle collision warning in hazardous underground mining environments (14 citations). He is also a key voice on the transformative potential of 5G, analyzing its latency and reliability for industrial automation (23 citations) and its role in smart manufacturing. With a portfolio spanning healthcare robotics, drones, and swarm robotics, Chehri’s research consistently bridges cutting-edge theory with real-world deployment, making him a vital figure in the safe and efficient automation of our industrial and energy systems.
Research Focus
Key Achievements
Top Papers
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- 6How Will 5G Transform Industrial IoT: Latency and Reliability Analysis23 citations · 2020
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- 85G Assisted Smart Manufacturing and Industrial Automation7 citations · 2021
- 9Swarm Robotics: Moving from Concept to Application5 citations · 2022
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