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Kai Moltzen

Kai Moltzen

M.Sc.

 https://orcid.org/0009-0001-8150-3181
  • 1
    Citations
20252025

Research activity per year

Personal profile

Teaching

  • Explainable Artificial Intelligence (XAI) and Data Visualization
  • AI project
  • Advanced Machine Learning - LLMs, RAG, KGs
  • DataX

Research interests

  • Spatial Representation Learning
  • (Qualitative) Spatial Reasoning
  • Geospatial Knowledge Graphs (GeoKGs)
  • Geospatial Foundation Models (GeoFMs)
  • Explainable Artificial Intelligence
  • Natural Language Understanding
  • AI to enhance (natural) disaster resilience
  • AI for Good

Curriculum

Following my Bachelor's in Engineering and Management (B. Eng.) at Esslingen University of Applied Sciences, I completed an M.Sc. in Data Science at Leuphana University Lüneburg. Alongside my studies, I gained industry experience through internships and working student positions at Mercedes-Benz, Ulixes Robotersysteme, and Markt-Pilot.
During both my undergraduate and graduate education, I enjoyed sharing knowledge by conducting tutorials in Mathematics and Machine Learning. I was also actively involved as a student representative and member of various study commissions during my Bachelor's and Master's studies. To broaden my cultural and technical horizons, I spent three semesters abroad at Tampere University (Finland) and Ca' Foscari University of Venice (Italy).
Currently, as a research associate in Leuphana's AIX group, I am pursuing my PhD under the supervision of Ricardo Usbeck. In this role, I continue my passion for teaching across several subjects, contribute to the development of the research group, and conduct research in topics related to GeoAI.

Education/Academic qualification

Management and Data Science, Master, A Self-Reflective, LLM-Driven Multi-Agent Architecture for Georelating Natural Disasters from News, Leuphana Universität Lüneburg

01.10.2022 → 21.03.2025

Award Date: 21.03.2025

Supervised by
  • Usbeck, Ricardo

Engineering and Management, Bachelor, Object Controlled Technologies for Digital Assistance Systems in Manual Assemlies, Esslingen University of Applied Sciences

01.03.2018 → 28.02.2022

Award Date: 28.02.2022

Supervised by
  • Reichert , Frederik

Keywords

  • Informatics

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  1. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

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Research collaborations from the last five years

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  • 2 Article in conference proceedings

  • GANDR - Georelating Dataset, Metrics, and Evaluation

    Moltzen, K. & Usbeck, R., 19.12.2025, GeoAI 2025 - Proceedings of the 8th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery. Newsam, S., Yang, L., Gao, S., Zhu, D., Lunga, D., Mai, G., Martins, B. & Arundel, S. (eds.). New York, NY, USA: Association for Computing Machinery, p. 61-71 11 p. (GeoAI '25).

    Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

    Open Access

  • LLM Agents for Georelating - A New Task for Locating Events

    Moltzen, K., Huang, J. & Usbeck, R., 12.12.2025, SIGSPATIAL '25: Proceedings of the 33rd ACM International Conference on Advances in Geographic Information Systems. Mokbel, M., Shekar, S., Züfle, A., Chiang, Y.-Y., Damiani, M. L. & Youssef, M. (eds.). New York, NY, USA: Association for Computing Machinery, p. 277–280 4 p. (ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems; vol. 2025).

    Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review

    Open Access
    1 Citation (Scopus)
  • 1 talk or presentation in privat or public events
  • 1 Presentations (poster etc.)