Dominik Brunmeir

Projektass. Dipl.-Ing.

Role

PreDoc Researcher
Data Science, E194-04

Contact

dominik.brunmeir@tuwien.ac.at
vCard from TISS

Publications

Four Years of Not-Using a Simulator: The Agent-Based Template / Brunmeir, D., Bicher, M., Popper, N., Rößler, M., Urach, C., Rippinger, C., & Wastian, M. (2024). Four Years of Not-Using a Simulator: The Agent-Based Template. In C. G. Corlu, S. R. Hunter, H. Lam, B. S. Onggo, J. Shortle, & B. Biller (Eds.), 2023 Winter Simulation Conference (WSC) (pp. 255–266). IEEE. https://doi.org/10.1109/WSC60868.2023.10408482
Modeling of Agent Decisions Using Conditional Generative Adversarial Networks / Bicher, M., Brunmeir, D., & Popper, N. (2024). Modeling of Agent Decisions Using Conditional Generative Adversarial Networks. In 2024 Winter Simulation Conference (WSC) (pp. 2643–2654). IEEE. https://doi.org/10.1109/WSC63780.2024.10838996
Project: DynOptTestControl (2022–2026)
Model Families for Multi-Criteria Decision Support: A COVID-19 Case Study / Bicher, M., Rippinger, C., Urach, C., Brunmeir, D., Zechmeister, M., & Popper, N. (2023). Model Families for Multi-Criteria Decision Support: A COVID-19 Case Study. arXiv. https://doi.org/10.34726/5480
Download: PDF (1.26 MB)
Project: KLIPHA-COVID19 (2020–2021)
An iterative algorithm for optimizing COVID-19 vaccination strategies considering unknown supply / Bicher, M., Rippinger, C., Zechmeister, M., Jahn, B., Sroczynski, G., Mühlberger, N., Santamaria-Navarro, J., Urach, C., Brunmeir, D., Siebert, U., & Popper, N. (2022). An iterative algorithm for optimizing COVID-19 vaccination strategies considering unknown supply. PLoS ONE, 17(5), Article e0265957. https://doi.org/10.1371/journal.pone.0265957
Model based estimation of the SARS-CoV-2 immunization level in austria and consequences for herd immunity effects / Bicher, M., Rippinger, C., Schneckenreither, G., Weibrecht, N., Urach, C., Zechmeister, M., Brunmeir, D., Huf, W., & Popper, N. (2022). Model based estimation of the SARS-CoV-2 immunization level in austria and consequences for herd immunity effects. Scientific Reports, 12(1), Article 2872. https://doi.org/10.1038/s41598-022-06771-x
Evaluation of Contact-Tracing Policies against the Spread of SARS-CoV-2 in Austria: An Agent-Based Simulation / Bicher, M., Rippinger, C., Urach, C., Brunmeir, D., Siebert, U., & Popper, N. (2021). Evaluation of Contact-Tracing Policies against the Spread of SARS-CoV-2 in Austria: An Agent-Based Simulation. Medical Decision Making, 41(8), 1017–1032. https://doi.org/10.1177/0272989x211013306
From Machine Learning to Knowledge-Based Decision Support—A Predictive-Model-Markup-Language-to-Arden-Syntax Transformer for Decision Trees / Zeckl, J., Wastian, M., Brunmeir, D., Rappelsberger, A., Arseniev, S. B., & Adlassnig, K.-P. (2021). From Machine Learning to Knowledge-Based Decision Support—A Predictive-Model-Markup-Language-to-Arden-Syntax Transformer for Decision Trees. In V. Kreinovich & N. Hoang Phuong (Eds.), Studies in Computational Intelligence (pp. 89–99). Springer. https://doi.org/10.1007/978-3-030-49536-7_9
Evaluation of undetected cases during the COVID-19 epidemic in Austria / Rippinger, C., Bicher, M., Urach, C., Brunmeir, D., Weibrecht, N., Zauner, G., Sroczynski, G., Jahn, B., Mühlberger, N., Siebert, U., & Popper, N. (2021). Evaluation of undetected cases during the COVID-19 epidemic in Austria. BMC Infectious Diseases, 21(70). https://doi.org/10.1186/s12879-020-05737-6
Reproduction of patterns in melanocytic proliferations by agent-based simulation and geometric modeling / Schneckenreither, G., Tschandl, P., Rippinger, C., Sinz, C., Brunmeir, D., Popper, N., & Kittler, H. (2021). Reproduction of patterns in melanocytic proliferations by agent-based simulation and geometric modeling. PLoS Computational Biology, 17(2), e1008660. https://doi.org/10.1371/journal.pcbi.1008660
Synthetic Reproduction and Augmentation of COVID-19 Case Reporting Data by Agent-Based Simulation / Popper, N., Zechmeister, M., Brunmeir, D., Rippinger, C., Weibrecht, N., Urach, C., Bicher, M., Schneckenreither, G., & Rauber, A. (2021). Synthetic Reproduction and Augmentation of COVID-19 Case Reporting Data by Agent-Based Simulation. Data Science Journal, 20. https://doi.org/10.5334/dsj-2021-016