Mojtaba Jabbari Ghadi

Papers

Total Citations

102

H-Index

About

Mojtaba Jabbari Ghadi is a prominent researcher in artificial intelligence and swarm intelligence, with a particular focus on optimization algorithms and their application to real-world problems. His most influential work, "Swarm robotics search & rescue: A novel artificial intelligence-inspired optimization approach" (2017), has garnered over 100 citations, establishing him as a key contributor to the field of autonomous multi-agent systems. In this seminal paper, Ghadi introduced a novel AI-driven optimization method that enables swarm robots to efficiently navigate and coordinate during search and rescue operations, significantly improving response times and success rates in disaster scenarios. His research bridges the gap between theoretical optimization and practical robotics, demonstrating how bio-inspired algorithms can be tailored for critical humanitarian applications. Beyond this flagship work, Ghadi’s broader contributions span evolutionary computation, metaheuristic optimization, and intelligent control systems. His innovative approaches have been widely adopted by researchers working on autonomous navigation, resource allocation, and emergency response technologies. With a growing citation impact and a clear focus on solving pressing societal challenges through AI, Mojtaba Jabbari Ghadi continues to inspire advances in swarm robotics and intelligent optimization.