Dr. Michael Herrmann's research insterests are in self-organisation, robot learning, neural avalanches, auditory system, bio-medical data analysis, metaheuristic optimisation, sensor fusion and information theory.

Dr. Michael Herrmann received a Diploma (1988) from the University of Leipzig and a Doctorate for the same institution (1993). He was working as a research assistant from 1992 and as a postdoc in Denmark and Japan. His PhD focused on mathematical aspects of artificial neural networks. In 2008, after a temporary position as an assistant professor at the University of Goettingen, he was appointed to the post of Lecturer in Robotics at the School of Informatics at the University of Edinburgh.

Dr. Herrmann is currently principal supervisor for five PhD students at the University of Edinburgh and has acted as principal or co-supervisor for ten successful PhD students mainly at the University of Goettingen. He has also supervised several MSc students. In recent years, he has taught courses on reinforcement learning for MSc and final year undergraduates, as well as on natural computing for third year undergraduates and is co-teaching an introductory course on vision and robotics also for third year undergraduates.