معرفی
Alexander Lodemann is a research assistant and PhD student at the Institute of Artificial Intelligence, University of Ulm, since March 2025. Affiliated with the KEMAI Research Training Group under supervisors Prof. Dr. Birte Glimm and Prof. Dr. Ambros J. Beer, he focuses on AI planning with emphasis on domain learning and hierarchical techniques.
His research spans Artificial Intelligence, Automated Planning, Domain Modelling, and Hierarchical Task Network Planning. He develops methods for automating planning knowledge acquisition and enhancing hierarchical planning systems to improve accessibility and efficiency in complex AI applications.
Recent publications (2024-2025) demonstrate concentrated expertise in Hierarchical Task Network planning, addressing domain learning challenges, unsolvable problem corrections, and integer linear programming optimizations. His work bridges theoretical planning frameworks with practical implementations for complex task structures.
Scientific recognition includes:
- iGEM competition bronze medal (2020) as Team iGEM_UUlm member
Teaching contributions feature guest lecturing for "AI Planning" (SoSe 25) and tutoring "Formale Grundlagen" (WiSe 19/20), reflecting active knowledge transfer in core AI curricula.
He participates in the KEMAI Research Training Group and previously contributed to the iGEM_UUlm team, leveraging interdisciplinary collaboration for competition success.
