Rate My Professor Farshad Arvin

Farshad Arvin is a Professor of Robotics in the Department of Computer Science at Durham University. He received his BSc degree in Computer Engineering in 2004, MSc degree in Computer Systems Engineering, and PhD degree in Computer Science from the University of Lincoln between 2012 and 2015. Prior to joining Durham University in 2023, he was an Assistant Professor in Robotics at the University of Manchester's Department of Electrical and Electronic Engineering from 2018. His earlier career includes postdoctoral research positions focused on robotics and control systems.

Professor Arvin's research specializations encompass swarm robotics, bio-inspired robotics, chronorobotics, and the integration of artificial intelligence and machine learning in autonomous robotic systems. He leads the RoboRoyale project, combining miniature robotics, AI, and machine learning to create robotic bees for ecosystem support and honeybee behavior studies, which received European recognition in 2026. Additional contributions include breakthrough drone swarm systems for monitoring and sophisticated robotic setups for long-term bee colony observation, as reported in university news in 2024 and 2025. Key publications feature 'Robust formation control for networked robotic systems with limited interactions' (Automatica, 2022, cited 88 times), 'Bio-inspired artificial pheromone system for swarm robotics applications' (Adaptive Behavior, 2021, cited 67 times), 'Occlusion-Based Coordination Protocol Design for Multi-Robot Systems' (IEEE TCDS, cited 70 times), 'A robotic honeycomb for interaction with a honeybee colony' (Science Robotics, 2023), and 'Reinforcement learning-based aggregation for robot swarms' (Adaptive Behavior, 2024). He holds professional designations as a Chartered Engineer (CEng), Senior Member of the IEEE (SMIEEE), and Fellow of the Higher Education Academy (FHEA). Professor Arvin received the IEEE Best Vehicular Electronics Paper Award. His work advances bio-hybrid systems, environmental monitoring, and agricultural robotics, demonstrating substantial impact through high-profile publications and funded projects.