Omar Cheikhrouhou
University of Sfax, Taif University, Polytechnic Institute of Porto
Papers
22
Total Citations
563
H-Index
12
About
Omar Cheikhrouhou is a prolific researcher whose work spans robotics, Internet of Things (IoT), cloud computing, and autonomous systems. He has made significant contributions to multi-robot coordination and path planning, developing innovative algorithms such as distributed market-based approaches and fuzzy logic methods to tackle complex combinatorial problems like the Multiple Traveling Salesman Problem — work that has collectively garnered over 250 citations. His 2018 paper on Dronemap Planner, a cloud-based management system for the Internet of Drones, stands as his most impactful contribution with 100 citations, reflecting the growing intersection of drone technology and IoT infrastructure. Cheikhrouhou has also advanced blockchain implementation for embedded IoT architectures, addressing critical challenges in security and decentralized data management for connected devices. His cloud-based disaster management system, leveraging wireless sensor networks and 3D virtual environments, demonstrates a commitment to applying cutting-edge research to real-world humanitarian challenges. Spanning foundational textbook-style introductions to mobile robot path planning to sophisticated multi-objective optimization frameworks, his body of work reflects both depth and versatility, making him a valuable reference point for students and researchers working at the crossroads of robotics, distributed systems, and smart technologies.
Research Focus
Key Achievements
Top Papers
- 1
- 2Implementation of Blockchain Consensus Algorithm on Embedded Architecture65 citations · 2021
- 3
- 4A Cloud Based Disaster Management System59 citations · 2020
- 5Robot Path Planning and Cooperation50 citations · 2018
- 6A Distributed Market-based Algorithm for the Multi-robot Assignment Problem46 citations · 2014
- 7Introduction to Mobile Robot Path Planning30 citations · 2018
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