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Markus Leyser Bachelor of Science
Person

Affiliations

Boysen TUD Research Training Group
- Academic Staff
Chair of Big Data Analytics in Transportation (TT)
- Academic Staff
- markus.leyser@tu-dresden.de

Identification Numbers

Scopus author ID	60756709300

Hydrogen Transport by Rail: A Geodata-Driven Approach for the Quantification of Accident Consequences and Risk-Aware Routing

Schulze, E., Leyser, M. & Kerschke, P., 11 Sept 2026, In: Data Science for Transportation. 8, 3, 32.

Research output: Contribution to journal › Research article › Contributed › peer-review

Data-Driven Risk Analysis and Routing for Hydrogen Transport Systems: Risk-Informed Approaches for Road and Rail Transport

Leyser, M., Vater, M., Schulze, E., Kuramochi, N. & Kerschke, P., 9 Sept 2026.

Research output: Contribution to conferences › Poster › Contributed › peer-review

The Suffering Salesperson: Measuring the Difficulty of TSP Instances and Generating Instances with Weighted Anytime Runtime Performance

Heins, J., Franke, A., Leyser, M., Dengel, S. & Kerschke, P., 2027, Parallel Problem Solving from Nature – PPSN XIX: 19th International Conference, PPSN 2026, Trento, Italy, August 29 – September 2, 2026, Proceedings, Part I. Iacca, G., Nadizar, G., Yaman, A., Bucur, D., Della Cioppa, A., Hu, T., Medvet, E. & Thomson, S. L. (eds.). p. 466 - 482 17 p. (Lecture Notes in Computer Science, Vol. 16985).

Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review

Interdisciplinary Ideathons to Enhance the Post-Graduate Learning Experience

Amon, J. & Leyser, M., 31 Jul 2026, Innovation via Collaborative Learning in Engineering Education: Proceedings of the 28th International Conference on Interactive Collaborative Learning (ICL2025), Volume 3. Auer, M. E. & Toth, P. (eds.). Springer Nature, p. 103–110 (Lecture Notes in Networks and Systems, Vol. 1848).

Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review

An Interactive Dashboard for Assessing the Performance-Interpretability Trade-off in Spatiotemporal Regression Tasks

Leyser, M. & Kerschke, P., Jul 2026, Artificial Intelligence in HCI: 7th International Conference, AI-HCI 2026, Held as Part of the 28th HCI International Conference, HCII 2026, Montreal, QC, Canada, July 26–31, 2026, Proceedings, Part III. Degen, H. & Ntoa, S. (eds.). Springer Science and Business Media B.V., p. 53-72 20 p. (Lecture Notes in Computer Science, Vol. 16745 LNCS).

Research output: Contribution to book/Conference proceedings/Anthology/Report › Conference contribution › Contributed › peer-review

View all research output (5)

Interpretable Spatiotemporal Feature Selection for Solar Power Forecasts

Leyser, M. (Speaker), Kerschke, P. (Involved person), Schäpermeier, L. (Involved person)

22 May 2024

Activity: Talk or presentation at external institutions/events › Talk/Presentation › Contributed

View all activities (1)

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