Andreas Steyven is a currently establishing a new Evolutionary Robotics laboratory within the School of Computing to be used for research and teaching. He recently successfully defended his PhD thesis entitled "A Closer Look at Adaptation Mechanisms in Simulated Environment-Driven Evolutionary Swarm Robotics" within the Centre for Algorithms, Visualisation and Evolving Systems (former Centre of Emergent Computing), under the supervision of Professor Emma Hart and Professor Ben Paechter.
Andreas graduated from the University of Applied Science in Koblenz, Germany, with a BEng in Electrical Engineering. His bachelor thesis was part of a Siemens research project in wireless automation technology. He also holds a BSc (with Distinction) in Engineering Studies with a focus on embedded systems and signal theory, as well as an MSc in Applied Informatics with a focus on network security and forensics from Edinburgh Napier University. Furthermore, he is a trained and certified System and Network Administrator and has held several responsibilities in IT support in the automotive industry.
His research interests lie in biologically inspired computing and robotics, especially in learning in self-organising and self-adaptive systems. Andreas also has an interest in wireless technology, micro-controller applications, home automation, smart homes and the internet-of-things.