Max Albin Thoma

Dipl.-Ing. / BSc

Role

Project Services
Automation Systems, E191-03

Contact

Publications

RDF fusion: an extensible SPARQL engine for hybrid data models / Schwarzinger, T., Thoma, M., Preindl, T., Kjäer, M., Just, V. P., & Steindl, G. (2025). RDF fusion: an extensible SPARQL engine for hybrid data models. IEEE Access, 13, 184297–184311. https://doi.org/10.1109/ACCESS.2025.3623639
Download: PDF (1.18 MB)
Project: USEFLEDS (2023–2027)
A Semantic Approach for Integrating Constrained MQTT Devices into Smart Local Energy Communities / Thoma, M. A. (2025). A Semantic Approach for Integrating Constrained MQTT Devices into Smart Local Energy Communities [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2025.113331
Download: PDF (2.95 MB)
Utilizing Large Language Models for Automated Log-Based Thing Description Generation / Thoma, M. A., Esterbauer, L., Preindl, T., & Steindl, G. (2025). Utilizing Large Language Models for Automated Log-Based Thing Description Generation. In Linking Meaning: Semantic Technologies Shaping the Future of AI : Proceedings of the 21st International Conference on Semantic Systems, 3-5 September 2025, Vienna, Austria (pp. 105–121). https://doi.org/10.3233/SSW250014
Project: RES² Community (2021–2025)
Advancing the energy transition: a participative system engineering process for digital solutions in renewable energy communities / Esterbauer, L., Thoma, M. A., Rabelhofer, M., Puchegger, M., & Steindl, G. (2024). Advancing the energy transition: a participative system engineering process for digital solutions in renewable energy communities. In CIRED 2024 Vienna Workshop (pp. 882–885). Institution of Engineering and Technology (IET). https://doi.org/10.1049/icp.2024.1996
Project: RES² Community (2021–2025)
Model-Based Systems Engineering of the Event-Driven Industrial Internet of Things / Amiri, A., Thoma, M. A., Steindl, G., Klaassen, C., & Kastner, W. (2024). Model-Based Systems Engineering of the Event-Driven Industrial Internet of Things. In IECON 2024 - 50th Annual Conference of the IEEE Industrial Electronics Society. 50th Annual Conference of the IEEE Industrial Electronics Society (IECON 2024), Chicago, United States of America (the). IEEE. https://doi.org/10.34726/9219
Download: PDF (278 KB)
Semantic Annotation of System Models for Generating RDF Runtime Models / Klaassen, C., Thoma, M. A., Steindl, G., Amiri, A., Kasper, L., & Hofmann, R. (2024). Semantic Annotation of System Models for Generating RDF Runtime Models. In 2024 IEEE 22nd International Conference on Industrial Informatics (INDIN) (pp. 1–6). IEEE. https://doi.org/10.1109/INDIN58382.2024.10774513