Institute of Artificial Intelligence

Alexander Lodemann

I joined the Institute for Artificial Intelligence as a research assistant and PhD student in March 2025. 
My doctoral research in the KEMAI Research Training Group is in the field of AI planning, with a particular focus on domain learning. My work is supervised by Prof. Dr. Birte Glimm and Prof. Dr. Ambros J. Beer.

Further Information

  • AI planning
  • Domain modelling support
  • Domain learning
  • Hierarchical Planning

  • SoSe 25 : Guest lecturer for the lecture »AI Planning«
  • WiSe 19/20 : Tutor for the lecture »Formale Grundlagen«

  • 2020: Participation in the iGEM competition (Team iGEM_UUlm) - bronze medal

Publications

2025

3.
C. Olz, A. Lodemann, B. Jutz, M. Schmautz, M. Borowiec, S. Biundo and P. Bercher, "An Extensive Empirical Evaluation of Inferring Preconditions and Effects of Compound Tasks in Ground HTN Planning Problems", Journal of Artificial Intelligence Research, vol. 82, pp. 1407-1444, Mar. 2025. https://jair.org/index.php/jair/article/view/17279.
DOI:10.1613/jair.1.17279
File:https://jair.org/index.php/jair/article/view/17279/27150

2024

2.
C. Olz, A. Lodemann and P. Bercher, "A Heuristic for Optimal Total-Order HTN Planning Based on Integer Linear Programming" in Proceedings of the 27th European Conference on Artificial Intelligence (ECAI 2024), IOS Press, 2024, pp. 4303--4310.
DOI:10.3233/FAIA241005
File:/fileadmin/website_uni_ulm/iui.inst.090/Publikationen/2024/Olz24ILP.pdf
1.
C. Olz, A. Lodemann and P. Bercher, "An ILP Heuristic for Total-Order HTN Planning" in Proceedings of the 7th ICAPS Workshop on Hierarchical Planning (HPlan 2024), 2024.