معرفی
Dr. Michael Mangan is a Senior Lecturer in Machine Learning and Robotics at the University of Sheffield's School of Computer Science, and Operations Director of Sheffield Robotics. He holds an MEng in Avionics from the University of Glasgow (2004), an MSc in Neuroinformatics from the University of Edinburgh (2006), and a PhD in Biorobotics (2011). His research focuses on understanding insect navigation and applying these insights to robotics, emphasizing bio-inspired systems for autonomous navigation and smart agriculture.
Research interests include modeling insect vision, navigation strategies, and neural mechanisms, with applications to robotics and pest control. Mangan leads the ManganLab, exploring how simple nervous systems enable complex behaviors through computational and robotic models. His work integrates biology, computer science, and engineering to develop robust autonomous systems.
Key contributions include tools like CompoundRay for simulating compound eyes and I2Bot for multi-modal insect navigation simulations. He has secured grants such as ActiveAI (£953k) and SkyEye (£25k), focusing on AI transparency, neuromorphic control, and vision-based localization.
Professional memberships include the Machine Learning research group and involvement in Living Machines conferences. Current projects explore fruit detection in agriculture, neuromorphic sequence learning, and animal tracking in natural environments.
