Prof. Dr.-Ing. Heiko Hamann

Photo of Heiko  Hamann

Ratzeburger Allee 160
23562 Lübeck
Building 64, Room 120 (2nd Floor)

Phone:+49 451 3101 6303
Fax:+49 451 3101 6304


short CV
- since 2017 Full Professor (tenured), University of Lübeck, Germany
- 2013-2017 Professor, University of Paderborn, Germany
- 04 until 10/2016 Professur, Technical Univ. Chemnitz, Germany
- 2009-2012 Postdoc, University of Graz, Austria
- 2008 PhD in Engineering (University of Karlsruhe, Germany)
- 2006 Diploma Computer Science (University of Stuttgart, Germany)
- stays at Oregon State Univ., USA und Monash Univ., Australien

for publications also see and google scholar


[BoH17] Borkowski, R.; Hamann, H.: Evolving robot swarm behaviors by minimizing surprise: results of simulations in 2-d on a Torus. The Genetic and Evolutionary Computation Conference 2017, 1679-1680, ACM, Berlin 2017 [Abstract] [Paper]
[HWH17] Hofstadler, D. N.; Wahby, M.; Heinrich, M. K.; Hamann, H.; Zahadat, P.; Ayres, P.; Schmickl, T.: Evolved Control of Natural Plants: Crossing the Reality Gap for User-defined Steering of Growth and Motion. ACM Transactions on Autonomous and Adaptive Systems (TAAS) - Special Issue on SASO 2016, Volume 12, Issue 3, Article No. 15, ACM, New York 2017 [Abstract] [Paper]
[KPV17] Khaluf, Y; Pinciroli, C.; Valentini, G.; Hamann, H.: The Impact of Agent Density on Scalability in Collective Systems: Noise-Induced vs Majority-Based Bistability. Swarm Intelligence, Volume 11, Issue 2, 155–179, Springer US, 2017 [Abstract] [Paper]
[VBP17] van Rooijen, L.; Bäumer, F.; Platenius, M. C.; Geierhos, M.; Hamann, H.; Engels, G.: From User Demand to Software Service: Using Machine Learning to Automate the Requirements Specification Process. Fourth International Workshop on Artificial Intelligence for Requirements Engineering (AIRE 17) workshop - in conjuction with RE 17, IEEE, Lisbon 2017 [Abstract] [Paper]
[WHH17] Wagner, D.; Hofmann, C.; Hamann, H.; von Mammen, S.: Design and Exploration of Braiding Swarms in VR. 23rd ACM Symposium on Virtual Reality Software and Technology, Article No. 13, ACM, Gothenburg 2017 [Abstract] [Paper]
[WVH17] Wever, M.; van Rooijen, L.; Hamann, H.: Active Coevolutionary Learning of Requirements Specifications from Examples. The Genetic and Evolutionary Computation Conference 2017, Berlin, ACM, 1327-1334 , ACM, Berlin 2017 [Abstract] [Paper]