Dr. Sven Magg
Photo: UHH/Knowledge Technology
Postdoctoral Teaching Associate
Knowledge Technology
Address
University of Hamburg
Faculty of Mathematics, Informatics and Natural Sciences
Department of Informatics
WTM Research Group
Vogt-Koelln-Str. 30
22527 Hamburg
Office
Room: F-210
Contact
Tel: +49 40 42883-2518
Fax: +49 40 4273-14634
Email: sven.magg"AT"uni-hamburg.de
You can find here ...
Research Interests
- Neural Networks (Neuromodulation in artificial neural networks, evolution of neural network controllers for artificial agents)
- Evolution (Evolution of artificial agents and agent controllers, especially evolution of neural networks and body plans)
- Self-Organisation in Biological and Bio-Inspired Systems (Task Differentiation, emergent behaviour, specialisation, collective/swarm robotics)
See also: Neuro-inspired Human-Robot Interaction
For Bachelor or Master theses:
Please contact me for possible projects in these areas and we can discuss your ideas.
Teaching
Master Level:
- Winter
- Summer
- I'm currently not involved in any MSc teaching in summer
Bachelor Level
I'm currently not involved in any BSc teaching.
Short Curriculum Vitae
| since June 2011 | Postdoctoral Teaching Associate, Knowledge Technology Research Group, Department of Computer Science, University of Hamburg, Germany Current roles: Programme coordinator of the MSc programme "Intelligent Adaptive Systems" |
| April 2012 | PhD in Computer Science, Thesis: "Self-Organised Task Differentiation in Homogeneous and Heterogeneous Groups of Autonomous Agents", Adaptive System Research Group, University of Hertfordshire, United Kingdom. |
| July 2005 | Postgraduate Certificate in "Learning and Teaching in Higher Education", University of Hertfordshire, United Kingdom |
| September 2005 | MSc "Intelligent Systems", University of Sussex, Brighton, United Kingdom. Thesis "CTRNNs and GasNets: A Comparison in Terms of Evolvability" |
| September 2003 | BSc "Computational Engineering", University of Erlangen-Nuremberg, Erlangen, Germany. Thesis "FFPop: Forward Chaining and Partial-Order Planning Combined" |