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
• CAIML seminar / 192.131 / SE
• Introduction to Machine Learning / 194.025 / VU
• Orientation Bachelor with Honors of Informatics and Business Informatics / 180.767 / SE
• Project in Computer Science 1 / 194.145 / PR
• Reinforcement Learning / 194.163 / VU
• Scientific Research and Writing / 193.052 / SE
• Seminar for PhD Students / 194.110 / SE

• Operational data-driven SOH estimation and prediction for maritime battery system
  2024 – 2025 / AVL List GmbH
• Reliable reinforcement learning for sustainable enery systems
  2023 – 2025 / Austrian Research Promotion Agency (FFG)

• Towards Fingerprint Mosaicking Artifact Detection: A Self-Supervised Deep Learning Approach / Ruzicka, L., Alexander Spenke, Bergmann, S., Nolden, G., Kohn, B., & Heitzinger, C. (2025). Towards Fingerprint Mosaicking Artifact Detection: A Self-Supervised Deep Learning Approach. arXiv. https://doi.org/10.48550/arXiv.2501.05034
• TipSegNet: Fingertip Segmentation in Contactless Fingerprint Imaging / Ruzicka, L., Kohn, B., & Heitzinger, C. (2025). TipSegNet: Fingertip Segmentation in Contactless Fingerprint Imaging. https://doi.org/10.48550/arXiv.2501.05076
• Parameter identification of shallow water waves using the generalized equal width equation and physics-informed neural networks: a conservative approximation scheme / Mohammadi, N., Abbaszadeh, M., Dehghan, M., & Heitzinger, C. (2024). Parameter identification of shallow water waves using the generalized equal width equation and physics-informed neural networks: a conservative approximation scheme. Nonlinear Dynamics. https://doi.org/10.1007/s11071-024-10497-y
• Development and external validation of temporal fusion transformer models for continuous intraoperative blood pressure forecasting / Kapral, L., Dibiasi, C., Jeremic, N., Bartos, S., Behrens, S., Bilir, A., Heitzinger, C., & Kimberger, O. (2024). Development and external validation of temporal fusion transformer models for continuous intraoperative blood pressure forecasting. EClinicalMedicine, 75, Article 102797. https://doi.org/10.1016/j.eclinm.2024.102797
• Adapting to the "Open World": The Utility of Hybrid Hierarchical Reinforcement Learning and Symbolic Planning / Lorang, P., Horvath, H., Kietreiber, T., Zips, P., Heitzinger, C., & Scheutz, M. (2024). Adapting to the “Open World”: The Utility of Hybrid Hierarchical Reinforcement Learning and Symbolic Planning. In 2024 IEEE International Conference on Robotics and Automation (ICRA) (pp. 508–514). https://doi.org/10.1109/ICRA57147.2024.10611594
• Toward Synthetic Physical Fingerprint Targets / Ruzicka, L., Strobl, B., Bergmann, S., Nolden, G., Michalsky, T., Domscheit, C., Priesnitz, J., Blümel, F., Kohn, B., & Heitzinger, C. (2024). Toward Synthetic Physical Fingerprint Targets. Sensors, 24(9), Article 2847. https://doi.org/10.3390/s24092847
• 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
• 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 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

• Reliability in Reinforcement Learning and Off-Policy Evaluation / aus der Schmitten, J. (2025). Reliability in Reinforcement Learning and Off-Policy Evaluation [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2025.116800
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• Time Series Prediction with Attention-Based Transformer Models / Kund-Leitner, A. (2025). Time Series Prediction with Attention-Based Transformer Models [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2025.114552
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• Transforming Text into Motion: Fundamentals of Diffusion Transformers for Text-to-Video Generation / Halbeisen, C. (2025). Transforming Text into Motion: Fundamentals of Diffusion Transformers for Text-to-Video Generation [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2025.126680
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• 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
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• Applications of concentration inequalities in distributional reinforcement learning / Mayer, F. (2024). Applications of concentration inequalities in distributional reinforcement learning [Diploma Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2025.124987
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• 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
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• 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 .