Andreas Steyven

Research Student

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Andreas Steyven is currently working towards a PhD about Social Learning in Evolutionary 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 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 and micro-controller application.

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Areas of Expertise link icon

  • Bio-inspired Computing
    The Bio-Inspired Algorithms group within the Centre for Algorithms, Visualisation and Evolving Systems is a large and thriving group with interests in nature-inspired computing that include Evolutionary Computing, Hyper-Heuristics, Artificial Immune Systems and Swarm Intelligence.
  • Networks
    Our future society, and its economy, will be built within a seamless environment of networked information resources. IIDI's Network Theme has been created to meet the demands of this society. Dr Ahmed Al-Dubai leads the Network Theme, which seeks to develop local human capital in the fields of...
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+44 (0)131 455

Room C43
Merchiston Campus
10 Colinton Road
EH10 5DT

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    Recent Projects

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    PhD Project Involvement

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    Andreas Steyven (PhD 2013-)
    Exploiting cooperative behaviour to guide open-ended evolution in multi-robot applications. Swarm robotics is a special case within the general field of robotics. The distributed nature makes it more resilient with no single point of failure. Considering the application in remote locations,...
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    Recent Publications

    Steyven, A., Hart, E., Paechter, B. (2016). Understanding Environmental Influence in an Open-Ended Evolutionary Algorithm. In: Handl, J., Hart, E., Lewis, Peter R., Lopez-Ibanez, M., Ochoa, G., Paechter, B. (Eds.) Parallel Problem Solving from Nature – PPSN XIV, , () ( ed.). (pp. ). : . Springer International Publishing.

    Hart, E., Steyven, A., Paechter, B. (2015). Improving Survivability in Environment-driven Distributed
 Evolutionary Algorithms through Explicit Relative Fitness and Fitness Proportionate Communication. In: Silva, S. (Ed.) Proceedings of GECCO '15: 2015 Genetic and Evolutionary Computation Conference, , () ( ed.). (pp. ). Madrid, Spain: . ACM SIGEVO.

    Steyven, A., Hart, E., Paechter, B. (2015). The Cost of Communication: Environmental Pressure and Survivability in mEDEA. In: Silva, S. (Ed.) GECCO'15: 2015 Genetic and Evolutionary Computation Conference Companion, , () ( ed.). (pp. ). Madrid, Spain: . ACM SIGEVO.

    Supervised dissertations