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About

Mohsen Pashna is a researcher whose work spans two distinct yet equally impactful domains: autonomous robotic systems for environmental monitoring and STEM education innovation. He is perhaps best known for his sustained contributions to the challenge of oil spill detection and tracking at sea, a field he has explored across multiple studies from 2013 to 2020. His most celebrated work, "Autonomous multi-robot tracking system for oil spills on sea surface based on hybrid fuzzy distribution and potential field approach" (2020), has garnered 34 citations and represents the culmination of years of developing intelligent swarm robotic solutions that combine fuzzy logic, potential field methods, and swarm intelligence to enable real-time, autonomous environmental response. Earlier investigations into numerical modeling and prediction methods for oil spill trajectories laid the technical groundwork for these advances, demonstrating a clear and progressive research trajectory. Beyond robotics, Pashna has also turned his attention to educational systems, contributing to frameworks that facilitate STEM learning in primary schools — recognizing the importance of cultivating scientific curiosity early. Across his body of work, Pashna demonstrates a thoughtful commitment to applying intelligent systems research toward both urgent environmental challenges and the long-term development of future technology-literate generations.