2024W

• Advanced Reinforcement Learning / 194.170 / VU
• Bachelor Thesis in Computer Science / 194.112 / PR
• CAIML seminar / 192.138 / SE
• Generative AI / 194.154 / VU
• Interdisciplinary Project in Data Science / 194.147 / PR
• Introduction to Machine Learning / 194.025 / VU
• Project in Computer Science 1 / 194.145 / PR
• Scientific Research and Writing / 193.052 / SE
• Seminar for PhD Students / 194.110 / SE

2025S

• Bachelor Thesis in Computer Science / 194.112 / PR
• Privatissimum for Doctor's Thesis / 194.028 / PV
• Project in Computer Science 1 / 194.145 / PR
• Seminar for PhD Students / 194.110 / SE

• Reliable reinforcement learning for sustainable enery systems
  2023 – 2025 / Austrian Research Promotion Agency (FFG)

• A Short Introduction to Artificial Intelligence: Methods, Success Stories, and Current Limitations / Clemens Heitzinger, & Stefan Woltran. (2024). A Short Introduction to Artificial Intelligence: Methods, Success Stories, and Current Limitations. In H. Werthner, C. Ghezzi, & J. Kramer (Eds.), Introduction to Digital Humanism : A Textbook (pp. 135–149). Springer. https://doi.org/10.1007/978-3-031-45304-5_9
• Improving Control of Energy Systems With Reinforcement Learning: Application to a Reversible Pump Turbine / Freiin von Tubeuf, C. S., aus der Schmitten, J., Hofmann, R., Heitzinger, C., & Birkelbach, F. (2024). Improving Control of Energy Systems With Reinforcement Learning: Application to a Reversible Pump Turbine. In Proceedings of the ASME 2024 18th International Conference on Energy Sustainability ES2024. 18th International Conference on Energy Sustainability (ASME ES 2024), Anaheim, United States of America (the). https://doi.org/10.1115/ES2024-122475
• Improving sensor interoperability between contactless and contact-based fingerprints using pose correction and unwarping / Ruzicka, L., Dominik Söllinger, Kohn, B., Heitzinger, C., Uhl, A., & Strobl, B. (2023). Improving sensor interoperability between contactless and contact-based fingerprints using pose correction and unwarping. IET Biometrics, 2023, Article 7519499. https://doi.org/10.1049/2023/7519499
• Development of a reinforcement learning algorithm to optimize corticosteroid therapy in critically ill patients with sepsis / Bologheanu, R., Kapral, L., Laxar, D., Maleczek, M., Dibiasi, C., Zeiner, S., Agibetov, A., Ercole, A., Thoral, P., Elbers, P., Clemens Heitzinger, & Kimberger, O. (2023). Development of a reinforcement learning algorithm to optimize corticosteroid therapy in critically ill patients with sepsis. Journal of Clinical Medicine, 12(4), Article 1513. https://doi.org/10.3390/jcm12041513
• Bayesian estimation of physical and geometrical parameters for nanocapacitor array biosensors / Stadlbauer, B., Cossettini, A., Morales Escalante, J. A., Pasterk, D., Scarbolo, P., Taghizadeh, L., Heitzinger, C., & Selmi, L. (2019). Bayesian estimation of physical and geometrical parameters for nanocapacitor array biosensors. Journal of Computational Physics, 397, Article 108874. https://doi.org/10.1016/j.jcp.2019.108874

• Evaluating Reinforcement-Learning-based Sepsis Treatments via Tabular and Continuous Stationary Distribution Correction Estimation / Weiss, R. (2025). Evaluating Reinforcement-Learning-based Sepsis Treatments via Tabular and Continuous Stationary Distribution Correction Estimation [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2025.126219
  Download: PDF (4.72 MB)
• One-class domain adaptation via meta-learning / Holly, S. (2024). One-class domain adaptation via meta-learning [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2024.125980
  Download: PDF (1.13 MB)

• PDE Models for Nanotechnology
  2013 / START Prize / Austria / Website
• START-Preis
  2013 / START-Programm / Austria
• Erwin Schrödinger Fellowship (FWF)
  2003 / Schrödinger-Stipendium / Austria

Soon, this page will include additional information such as reference projects, activities as journal reviewer and editor, memberships in councils and committees, and other research activities.

Until then, please visit Clemens Heitzinger’s research profile in TISS .