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Hüsing, Sven, Carsten Schulte, and Felix Winkelnkemper. “Epistemic Programming.”https://doi.org/10.5040/9781350296947.ch-022__In Computer Science Education. Bloomsbury Academic, 2023.https://doi.org/10.5040/9781350296947.ch-022 .
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Castenow, Jannik, Jonas Harbig, Daniel Jung, Till Knollmann, and Friedhelm Meyer auf der Heide. “Gathering a Euclidean Closed Chain of Robots in Linear Time and Improved Algorithms for Chain-Formation.”https://doi.org/10.1016/j.tcs.2022.10.031__Theoretical Computer Science 939 (2023): 261–91.https://doi.org/10.1016/j.tcs.2022.10.031 .
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arXiv: 2010.04424 

Luo, Linghui, Goran Piskachev, Ranjith Krishnamurthy, Julian Dolby, Martin Schäf, and Eric Bodden. “Model Generation For Java Frameworks.” In IEEE International Conference on Software Testing, Verification and Validation (ICST), 2023.
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Shivarpatna Venkatesh, Ashwin Prasad, Jiawei Wang, Li Li, and Eric Bodden. “Enhancing Comprehension and Navigation in Jupyter Notebooks with Static Analysis.” In IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER), 2023.
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Yigitbas, Enes, Jonas Klauke, Sebastian Gottschalk, and Gregor Engels. “End-User Development of Interactive Web-Based Virtual Reality Scenes.” Journal on Computer Languages (COLA) , 2023.
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Yigitbas, Enes, and Gregor Engels. “Enhancing Robot Programming through Digital Twin and Augmented Reality .” In 56th Hawaii International Conference on System Science (HICSS 2023) . ScholarSpace, 2023.
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Yigitbas, Enes, Sebastian Krois, Sebastian Gottschalk, and Gregor Engels. “Towards Enhanced Guiding Mechanisms in VR Training through Process Mining.” In Proceedings of the 7th International Conference on Human Computer Interaction Theory and Applications (HUCAPP’23) , 2023.
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Castenow, Jannik, Jonas Harbig, Daniel Jung, Peter Kling, Till Knollmann, and Friedhelm Meyer auf der Heide. “A Unifying Approach to Efficient (Near-)Gathering of Disoriented Robots with Limited Visibility .”https://doi.org/10.4230/LIPIcs.OPODIS.2022.15__In Proceedings of the 26th International Conference on Principles of Distributed Systems (OPODIS) , edited by Eshcar Hillel, Roberto Palmieri, and Etienne Riviére, 253:15:1–15:25. Leibniz International Proceedings in Informatics (LIPIcs). Brussels: Schloss Dagstuhl – Leibniz Zentrum für Informatik, 2023.https://doi.org/10.4230/LIPIcs.OPODIS.2022.15 .
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arXiv: 2206.07567 

Werner, Stefan, and Sebastian Peitz. “Learning a Model Is Paramount for Sample Efficiency in Reinforcement  Learning Control of PDEs.” ArXiv:2302.07160, 2023.
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arXiv: 2302.07160