2026W

• Bachelor Thesis for Informatics and Business Informatics / 188.944 / PR
• Modeling and Simulation / 194.076 / VU
• Modelling and Simulation in Health Technology Assessment / 194.094 / VU

2026

• Novel concepts for agent-based population modelling and simulation: GEPOC ABM 2025 / Bicher, M., Viehauser, M., Giannandrea, D., Kastinger, H., Brunmeir, D., & Popper, N. (2026). Novel concepts for agent-based population modelling and simulation: GEPOC ABM 2025. Simulation Modelling Practice and Theory, 152, Article 103339. https://doi.org/10.1016/j.simpat.2026.103339
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  Project: DynOptTestControl (2022–2026)
• A Comparative Analysis of Internal Migration Models: Traditional Gravity versus Constrained Machine Learning Approaches / Jell, A., Giannandrea, D., Popper, N., & Bicher, M. (2026). A Comparative Analysis of Internal Migration Models: Traditional Gravity versus Constrained Machine Learning Approaches. In SIGSIM-PADS ’26: Proceedings of the 40th ACM SIGSIM International Conference on Principles of Advanced Discrete Simulation (pp. 22–31). Association for Computing Machinery. https://doi.org/10.1145/3806789.3810260
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• Mathematical Modeling Framework for Comparison of Vaccination Strategies for Different Diseases / Bicher, M., Rippinger, C., Urach, C., Zauner, G., Zechmeister, M., & Popper, N. (2026). Mathematical Modeling Framework for Comparison of Vaccination Strategies for Different Diseases. In Proceedings of the 40th ACM SIGSIM International Conference on Principles of Advanced Discrete Simulation (pp. 116–126). Association for Computing Machinery. https://doi.org/10.1145/3806789.3810258
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  Project: Impactevaluierung Impfprogramm (2024–2025)

2025

• Novel Concepts for Agent-Based Population Modelling and Simulation: Updates from GEPOC ABM / Bicher, M., Viehauser, M., Giannandrea, D., Kastinger, H., Brunmeir, D., & Popper, N. (2025). Novel Concepts for Agent-Based Population Modelling and Simulation: Updates from GEPOC ABM. arXiv. https://doi.org/10.48550/ARXIV.2511.05637
  Project: DynOptTestControl (2022–2026)
• Impactevaluierung von Priorisierten Impfungen / Bicher, M., Brodersen, J., Erber, A., Geier Philipp, Jeleff, M., Popper, N., Rippinger, C., Urach, C., Zauner, G., Zechmeister, M., & Zimmermann, C. (2025). Impactevaluierung von Priorisierten Impfungen. TU Wien Researchdata. https://doi.org/10.48436/SQVCQ-QWG65
  Project: Impactevaluierung Impfprogramm (2024–2025)
• Managing equitable contagious disease testing: A mathematical model for resource optimization / Ghasemi, P., Ehmke, J. F., & Bicher, M. (2025). Managing equitable contagious disease testing: A mathematical model for resource optimization. OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE, 135, Article 103305. https://doi.org/10.1016/j.omega.2025.103305
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  Project: DynOptTestControl (2022–2026)
• Ideas towards Model Families for Multi-Criteria Decision Support: A COVID-19 Case Study / Bicher, M., Rippinger, C., Urach, C., Brunmeir, D., Zechmeister, M., & Popper, N. (2025). Ideas towards Model Families for Multi-Criteria Decision Support: A COVID-19 Case Study. ACM Transactions on Modeling and Computer Simulation, 35(3), Article 26. https://doi.org/10.1145/3722217
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• Disaggregating Train Delays into Primary and Secondary Components using Gated Graph Convolutional Networks / Viehauser, M., Bicher, M., Rössler, M., & Popper, N. (2025). Disaggregating Train Delays into Primary and Secondary Components using Gated Graph Convolutional Networks. In 11th Vienna International Conference on Mathematical Modelling MATHMOD 2025 : Vienna, Austria, February 19-21, 2025 : Proceedings (pp. 439–444). https://doi.org/10.1016/j.ifacol.2025.03.075
  Project: Green-TrAIn-Plan (2022–2025)
• Zero Stability in Hierarchical Co-Simulation / Hafner, I., Bicher, M., & Popper, N. (2025). Zero Stability in Hierarchical Co-Simulation. In 2024 Winter Simulation Conference (WSC) (pp. 359–370). IEEE. https://doi.org/10.1109/WSC63780.2024.10838842

2024

• 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)

2023

• 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
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  Project: KLIPHA-COVID19 (2020–2021)

2022

• Supporting COVID-19 policy-making with a predictive epidemiological multi-model warning system / Bicher, M., Zuba, M., Rainer, L., Bachner, F., Rippinger, C., Ostermann, H., Popper, N., Thurner, S., & Klimek, P. (2022). Supporting COVID-19 policy-making with a predictive epidemiological multi-model warning system. Communications Medicine, 2(1), Article 157. https://doi.org/10.1038/s43856-022-00219-z
• 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
• Meteorological factors and non-pharmaceutical interventions explain local differences in the spread of SARS-CoV-2 in Austria / Ledebur, K., Kaleta, M., Chen, J., Lindner, S. D., Matzhold, C., Weidle, F., Wittmann, C., Habimana, K., Kerschbaumer, L., Stumpfl, S., Heiler, G., Bicher, M., Popper, N., Bachner, F., & Klimek, P. (2022). Meteorological factors and non-pharmaceutical interventions explain local differences in the spread of SARS-CoV-2 in Austria. PLoS Computational Biology, 18(4), Article e1009973. https://doi.org/10.1371/journal.pcbi.1009973
• 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
• POSA172 How to Optimize COVID-19 Vaccination Considering Limited Vaccination Capacities: A Decision-Analytic Framework and Modeling Study / Jahn, B., Sroczynski, G., Bicher, M., Rippinger, C., Mühlberger, N., Santamaria, J., Urach, C., Popper, N., & Siebert, U. (2022). POSA172 How to Optimize COVID-19 Vaccination Considering Limited Vaccination Capacities: A Decision-Analytic Framework and Modeling Study. Value in Health, 25(1), S121–S121. https://doi.org/10.1016/j.jval.2021.11.573
• HPR171 COVID 19 Vaccination - How to Support Decisions on Vaccination Prioritization for New Variants of Concern? / Jahn, B., Sroczynski, G., Bicher, M., Rippinger, C., Mühlberger, N., Santamaria, J., Urach, C., Popper, N., & Siebert, U. (2022). HPR171 COVID 19 Vaccination - How to Support Decisions on Vaccination Prioritization for New Variants of Concern? In ISPOR Europe 2022 Abstracts (p. S263). https://doi.org/10.1016/j.jval.2022.09.1300
• Methods for Integrated Simulation - 10 Concepts to Integrate / Popper, N., Bicher, M., Breitenecker, F., Glock, B., Hafner, I., Mujica Mota, M., Mušic, G., Rippinger, C., Rössler, M., Schneckenreither, G., Urach, C., Wastian, M., Zauner, G., & Zechmeister, M. (2022). Methods for Integrated Simulation - 10 Concepts to Integrate. Simulation Notes Europe, 32(4), 225–236. https://doi.org/10.11128/sne.32.on.10627
• P16 COVID-19 Vaccination Strategies Considering a Vaccine Adapted to a New Variant of Concern: A Decision-Analytic Modeling Study / Jahn, B., Sroczynski, G., Bicher, M., Rippinger, C., Mühlberger, N., Santamaria, J., Urach, C., Popper, N., & Siebert, U. (2022). P16 COVID-19 Vaccination Strategies Considering a Vaccine Adapted to a New Variant of Concern: A Decision-Analytic Modeling Study [Conference Presentation]. ISPOR Europe 2022, Vienna, Austria. https://doi.org/10.1016/j.jval.2022.04.022
• Time Dynamics of the Spread of Virus Mutants with Increased Infectiousness in Austria / Bicher, M., Rippinger, C., & Popper, N. (2022). Time Dynamics of the Spread of Virus Mutants with Increased Infectiousness in Austria. In 10th Vienna International Conference on Mathematical Modelling MATHMOD 2022: Vienna Austria, 27–29 July 2022 (pp. 445–450). https://doi.org/10.1016/j.ifacol.2022.09.135

2021

• 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
• Evaluation of a targeted COVID-19 vaccination strategy for Austria–a decision-analytic modeling study / Jahn, B., Sroczynski, G., Bicher, M., Claire Rippinger, Mühlberger, N., Santamaria-Navarro, J., Urach, C., Ostermann, H., Popper, N., & Siebert, U. (2021). Evaluation of a targeted COVID-19 vaccination strategy for Austria–a decision-analytic modeling study. European Journal of Public Health, 31(Supplement_3). https://doi.org/10.1093/eurpub/ckab165.078
• Logistikentscheidungsunterstützung in der Pandemie / Alarcon Ortega, E. J., Bicher, M., Bomze, I. M., Bot, R. I., Doerner, K. F., Gansterer, M., Kahr, M., Kritzinger, S., Popper, N., Sedlmayer, M., Vigo, D., & Wolfinger, D. (2021). Logistikentscheidungsunterstützung in der Pandemie. In Jahrbuch der Logistikforschung: Innovative Anwendungen, Konzepte & Technologien (Vol. 3, pp. 185–195). Trauner Verlag. http://hdl.handle.net/20.500.12708/217488
• Targeted COVID-19 Vaccination (TAV-COVID) Considering Limited Vaccination Capacities-An Agent-Based Modeling Evaluation / Jahn, B., Sroczynski, G., Bicher, M., Rippinger, C., Mühlberger, N., Santamaria, J., Urach, C., Schomaker, M., Stojkov, I., Schmid, D., Weiss, G., Wiedermann, U., Redlberger-Fritz, M., Druml, C., Kretschmar, M., Paulke-Korinek, M., Ostermann, H., Czasch, C., Endel, G., … Siebert, U. (2021). Targeted COVID-19 Vaccination (TAV-COVID) Considering Limited Vaccination Capacities-An Agent-Based Modeling Evaluation. Vaccines, 9(5), 434. https://doi.org/10.3390/vaccines9050434
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  Project: KLIPHA-COVID19 (2020–2021)
• How an election can be safely planned and conducted during a pandemic: Decision support based on a discrete event model / Weibrecht, N., Rößler, M., Bicher, M., Emrich, Š., Zauner, G., & Popper, N. (2021). How an election can be safely planned and conducted during a pandemic: Decision support based on a discrete event model. PLoS ONE, 16(12), Article e0261016. https://doi.org/10.1371/journal.pone.0261016
• 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
• 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
• Woher kommen die Covid-19-Zahlen? / Popper, N., & Bicher, M. (2021). Woher kommen die Covid-19-Zahlen? TU Wien Alumnitag 2021, Wien, Austria. http://hdl.handle.net/20.500.12708/87254

2020

• Simulation and Optimization of Traction Unit Circulations / Rößler, M., Wastian, M., Jellen, A., Frisch, S., Weinberger, D., Hungerländer, P., Bicher, M., & Popper, N. (2020). Simulation and Optimization of Traction Unit Circulations. In Proceedings of the 2020 Winter Simulation Conference (pp. 90–101). IEEE. http://hdl.handle.net/20.500.12708/55605
• Simulation Based Decision Support -the COVID19 Crisis from a Modeller's Perspective / Popper, N., & Bicher, M. (2020). Simulation Based Decision Support -the COVID19 Crisis from a Modeller’s Perspective. 25. Symposium Simulationstechnik - ASIM 2020, online, Unknown. http://hdl.handle.net/20.500.12708/87172

2019

• Direct Implementation of ARGESIM Benchmark C7 'Constrained Pendulum' in MATLAB and EXCEL / Stockinger, A. E., Gütl, E., Rath, S. A., Strasser, D., Bicher, M., Körner, A., & Ecker, H. (2019). Direct Implementation of ARGESIM Benchmark C7 “Constrained Pendulum” in MATLAB and EXCEL. SNE Simulation Notes Europe, 29(2), 105–110. https://doi.org/10.11128/sne.29.bne07.10478
• Microscopic modelling of international (re-)hospitalisation effects in the CEPHOS-LINK setting / Zauner, G., Urach, C., Bicher, M., Popper, N., & Endel, F. (2019). Microscopic modelling of international (re-)hospitalisation effects in the CEPHOS-LINK setting. International Journal of Simulation and Process Modelling, 14(3), 261. https://doi.org/10.1504/ijspm.2019.101012
• ARGESIM Benchmark C11 'SCARA Robot': Comparison of Basic Implementations in EXCEL and MATLAB / Rekova, O., Pelzmann, N., Mandl, P., Hoffmann, M., Ecker, H., Körner, A., Bicher, M., & Breitenecker, F. (2019). ARGESIM Benchmark C11 “SCARA Robot”: Comparison of Basic Implementations in EXCEL and MATLAB. SNE Simulation Notes Europe, 29(3), 149–158. https://doi.org/10.11128/sne.29.bne11.10488

2017

• Planning future health: developing big data and system modelling pipelines for health system research / Popper, N., Endel, F., Mayer, R., Bicher, M., & Glock, B. (2017). Planning future health: developing big data and system modelling pipelines for health system research. Simulation Notes Europe, 27(4), 203–208. https://doi.org/10.11128/sne.27.tn.10396
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  Project: CSTAT: DEXHELPP (2014–2019)
• Microscopic Pendulum Modelling: Absurd Idea or Innovative View on Old Problems? / Bicher, M., & Popper, N. (2017). Microscopic Pendulum Modelling: Absurd Idea or Innovative View on Old Problems? Simulation Notes Europe, 27(4), 177–182. https://doi.org/10.11128/sne.27.tn.10392
  Project: CSTAT: DEXHELPP (2014–2019)

2016

• Agent-based Modelling and Simulation for Population Dynamics under Agricultural Constraints in Prehistoric Hallstatt: Hints for a Second Settlement / Tanzler, J., Wurzer, G., Kowarik, K., Popper, N., Reschreiter, H., Bicher, M., & Breitenecker, F. (2016). Agent-based Modelling and Simulation for Population Dynamics under Agricultural Constraints in Prehistoric Hallstatt: Hints for a Second Settlement. Simulation Notes Europe, 26(1), 41–46. https://doi.org/10.11128/sne.26.tn.10327

• District-level prediction of internal migration in Austria using push-pull factors / Jell, A. (2026). District-level prediction of internal migration in Austria using push-pull factors [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2026.132563
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• Primary delay injection models : a data-driven approach to robust stochastic railway simulation / Peter, V. (2025). Primary delay injection models : a data-driven approach to robust stochastic railway simulation [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2025.126740
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• Enhancing train network simulation model with a moving block system / Hartmann, F. (2025). Enhancing train network simulation model with a moving block system [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2025.126741
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• Simulation-based disaggregation of train delay data using graph neural networks / Viehauser, M. (2024). Simulation-based disaggregation of train delay data using graph neural networks [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2024.115824
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