Koldewey, C., Fichtler, T., Scholtysik, M., Biehler, J., Schreiner, N., Sommer, F., Schacht, M., Kaufmann, J., Rabe, M., Sedlmeier, J., &; Dumitrescu, R. (2024). Exploring Capabilities for the Smart Service Transformation in Manufacturing: Insights from Theory and Practice. Hawaii International Conference on System Sciences, Hawaii.

Herbert, F., Becker, S., Buckmann, A., Kowalewski, M., Hielscher, J., Acar, Y., Dürmuth, M., Sasse, M. A., &; Zou, Y. (2024). Digital Security -- A Question of Perspective. A Large-Scale Telephone Survey with Four At-Risk User Groups. IEEE Symposium on Security and Privacy. IEEE, New York, NY, USA.https://doi.org/10.48550/arXiv.2212.12964 

Afroze, L., Merkelbach, S., von Enzberg, S., &; Dumitrescu, R. (2024). Domain Knowledge Injection Guidance for Predictive Maintenance. ML4CPS 2023. ML4CPS – Machine Learning For Cyber-Physical Systems, Hamburg.

Scholtysik, M., Rohde, M., Koldewey, C., &; Dumitrescu, R. (2024). Business strategy taxonomy and solution patterns for the circular economy.

Dou, F., Wang, L., Chen, S., &; Liu, F. (n.d.). X-Stream: A Flexible, Adaptive Video Transformer for Privacy-Preserving Video Stream Analytics. Proceedings of the IEEE International Conference on Computer Communications (INFOCOM). IEEE International Conference on Computer Communications (INFOCOM), Vancouver, Canada.

Blöcher, M., Nedderhut, N., Chuprikov, P., Khalili, R., Eugster, P., &; Wang, L. (n.d.). Train Once Apply Anywhere: Effective Scheduling for Network Function Chains Running on FUMES. Proceedings of the IEEE International Conference on Computer Communications (INFOCOM). IEEE International Conference on Computer Communications (INFOCOM), Vancouver, Canada.

Hu, H., Liu, F., Pei, Q., Yuan, Y., Xu, Z., &; Wang, L. (2024). 706Grapher: A Resource-Efficient Serverless System for GNN Serving through Graph Sharing. Proceedings of the ACM Web Conference (WWW). ACM Web Conference (WWW), Singapore.

Philipp, F. M., Schaller, M., Boshoff, S., Peitz, S., Nüske, F., &; Worthmann, K. (2024). Extended Dynamic Mode Decomposition: Sharp bounds on the sample  efficiency. In arXiv:2402.02494.

Sonntag, K., &; Peitz, S. (2024). Fast Multiobjective Gradient Methods with Nesterov Acceleration via Inertial Gradient-Like Systems. Journal of Optimization Theory and Applications.https://doi.org/10.1007/s10957-024-02389-3 

Sonntag, K., Gebken, B., Müller, G., Peitz, S., &; Volkwein, S. (2024). A Descent Method for Nonsmooth Multiobjective Optimization in Hilbert Spaces. In arXiv:2402.06376.

Peitz, S., Stenner, J., Chidananda, V., Wallscheid, O., Brunton, S. L., &; Taira, K. (2024). Distributed Control of Partial Differential Equations Using  Convolutional Reinforcement Learning. Physica D: Nonlinear Phenomena, 461, 134096.https://doi.org/10.1016/j.physd.2024.134096 

Dorociak, S. (2024). Implementierung eines Algorithmus zur motivbasierten Schnitt-Sparsifizierung.

Khedkar, M., &; Bodden, E. (2024). Toward an Android Static Analysis Approach for Data Protection. Proceedings of the 9th International Conference on Mobile Software Engineering and Systems. 9th International Conference on Mobile Software Engineering and Systems 2024, Lisbon, Portugal.

Bodden, E., Pottebaum, J., Fockel, M., &; Gräßler, I. (2024). Evaluating Security Through Isolation and Defense in Depth. IEEE Security &; Privacy, 22(1), 69–72.https://doi.org/10.1109/msec.2023.3336028 

Otto, S. E., Peitz, S., &; Rowley, C. W. (2024). Learning Bilinear Models of Actuated Koopman Generators from  Partially-Observed Trajectories. SIAM Journal on Applied Dynamical Systems, 23(1), 885–923.https://doi.org/10.1137/22M1523601 

Wickert, A.-K., Schlichtig, M., Vogel, M., Winter, L., Mezini, M., &; Bodden, E. (2024). Supporting Error Chains in Static Analysis for Precise Evaluation Results and Enhanced Usability.

Ahmed, Q. A., Wiersema, T., &; Platzner, M. (2024). Post-configuration Activation of Hardware Trojans in FPGAs. Journal of Hardware and Systems Security.https://doi.org/10.1007/s41635-024-00147-5 

Hüsing, S., Schulte, C., Sparmann, S., &; Bolte, M. (2024). Using Worked Examples for Engaging in Epistemic Programming Projects. Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 1.https://doi.org/10.1145/3626252.3630961 

Hu, L., Habernal, I., Shen, L., &; Wang, D. (2024). Differentially Private Natural Language Models: Recent Advances and Future Directions. In Y. Graham &; M. Purver (Eds.), Findings of the Association for Computational Linguistics: EACL 2024, St. Julian’s, Malta, March 17-22, 2024 (pp. 478–499). Association for Computational Linguistics.

Igamberdiev, T., Vu, D. N. L., Kuennecke, F., Yu, Z., Holmer, J., &; Habernal, I. (2024). DP-NMT: Scalable Differentially Private Machine Translation. In N. Aletras &; O. De Clercq (Eds.), Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations (pp. 94–105). Association for Computational Linguistics.

Razavi, K., Ghafouri, S., Mühlhäuser, M., Jamshidi, P., &; Wang, L. (2024). Sponge: Inference Serving with Dynamic SLOs Using In-Place Vertical Scaling. Proceedings of the 4th Workshop on Machine Learning and Systems (EuroMLSys), Colocated with EuroSys 2024. The 4th Workshop on Machine Learning and Systems (EuroMLSys), colocated with EuroSys 2024, Athens, Greece.

Blübaum, L., &; Heindorf, S. (n.d.). Causal Question Answering with Reinforcement Learning. The World Wide Web Conference (WWW). The Web Conference, Singapore.

De Groote, C. (2024). A Dispersion Algorithm for Robot Swarms Inside Polygonal Boundary Shapes.

Doddegowda, R. (2024). Optimal Drone Strategies For Packet Delivery.

Thakur, H. (2024). Evaluating the Implications.

Preuß, O. L., Rook, J., &; Trautmann, H. (2024). On the Potential of Multi-objective Automated Algorithm Configuration on Multi-modal Multi-objective Optimisation Problems. In Applications of Evolutionary Computation. Springer Nature Switzerland.https://doi.org/10.1007/978-3-031-56852-7_20 

Vinzent Seiler, M., Rook, J., Heins, J., Preuß, O. L., Bossek, J., &; Trautmann, H. (2024). Using Reinforcement Learning for Per-Instance Algorithm Configuration on the TSP. 2023 IEEE Symposium Series on Computational Intelligence (SSCI).https://doi.org/10.1109/ssci52147.2023.10372008 

Philipp, F., Schaller, M., Worthmann, K., Peitz, S., &; Nüske, F. (2024). Error bounds for kernel-based approximations of the Koopman operator. Applied and Computational Harmonic Analysis , 71, Article 101657.https://doi.org/10.1016/j.acha.2024.101657 

Lass, M., Kenter, T., Plessl, C., &; Brehm, M. (2024). Characterizing Microheterogeneity in Liquid Mixtures via Local Density Fluctuations. Entropy, 26(4), Article 322.https://doi.org/10.3390/e26040322 

Olgu, K., Kenter, T., Nunez-Yanez, J., &; Mcintosh-Smith, S. (2024). Optimisation and Evaluation of Breadth First Search with oneAPI/SYCL on Intel FPGAs: from Describing Algorithms to Describing Architectures. Proceedings of the 12th International Workshop on OpenCL and SYCL.https://doi.org/10.1145/3648115.3648134 

Ghafouri, S., Razavi, K., Salmani, M., Sanaee, A., Lorido Botran, T., Wang, L., Doyle, J., &; Jamshidi, P. (n.d.). IPA: Inference Pipeline Adaptation to Achieve High Accuracy and Cost-Efficiency. Journal of Systems Research (JSys).

Höper, L., &; Schulte, C. (2024). Empowering Students for the Data-Driven World: A Qualitative Study of the Relevance of Learning about Data-Driven Technologies. Informatics in Education.https://doi.org/10.15388/infedu.2024.19 

Bauer, C., Kenter, T., Lass, M., Mazur, L., Meyer, M., Nitsche, H., Riebler, H., Schade, R., Schwarz, M., Winnwa, N., Wiens, A., Wu, X., Plessl, C., &; Simon, J. (2024). Noctua 2 Supercomputer. Journal of Large-Scale Research Facilities, 9.https://doi.org/10.17815/jlsrf-8-187  

Liu, G., Nigade, V., Bal, H., &; Wang, L. (2024). A Little Certainty is All We Need: Discovery and Synchronization Acceleration in Battery-Free IoT. Proceedings of the 8th ACM Asia Pacific Workshop on Networking (APNET). ACM Asia Pacific Workshop on Networking (APNET), Sydney, Austrialia.

Krings, S. C., &; Yigitbas, E. (2024). TARPS: A Toolbox for Enhancing Privacy and Security for Collaborative AR. Proceedings of the ACM on Human-Computer Interaction, EICS, 8(251), 22.

Yigitbas, E., &; Mazur, J. (2024). Augmented and Virtual Reality for Diet and Nutritional Education: A Systematic Literature Review. Proceedings of the 17th International Conference on PErvasive Technologies Related to Assistive Environments (PETRA 2024).

Schmidt, L., &; Yigitbas, E. (2024). Development and Usability Evaluation of Transitional Cross-Reality Interfaces. Proceedings of the ACM on Human-Computer Interaction, EICS, 8(263), 31.

Biermeier, K., Scharlau, I., &; Yigitbas, E. (2024). Measuring Visual Attention Capacity Across xReality. Proceedings of the 17th International Conference on PErvasive Technologies Related to Assistive Environments (PETRA 2024).

Yigitbas, E., Schmidt, M., Bucchiarone, A., Bassanelli, S., &; Engels, G. (2024). Gamification- and Virtual Reality-Based Learning Environment for UML Class Diagram Modeling. IEEE Global Engineering Education Conference 2024.

Yigitbas, E., &; Kaltschmidt, C. (2024). Effects of Human Avatar Representation in Virtual Reality on Inter-Brain Connections. Proceedings of the 8th International Conference on Artificial Intelligence and Virtual Reality (AIVR’24).

Krings, S. C., Biermeier, K., &; Yigitbas, E. (2024). Interaction Techniques for Remote Maintenance in an AR Shared Environment. Proceedings of the 10th International Working Conference on Human-Centered Software Engineering (HCSE’24).

Leichtweiß, J., &; Yigitbas, E. (2024). An Exploratory Study of Fear-Inducing Factors in Virtual Reality Experiences. Proceedings of the 12th International Conference on Serious Games and Applications for Health (SeGAH’24).

Krois, S., &; Yigitbas, E. (2024). Prototyping Cross-Reality Escape Rooms. Proceedings of the 10th International Working Conference on Human-Centered Software Engineering (HCSE’24).

Krings, S. C., Yigitbas, E., &; Sauer, S. (2024). Developing a VR Factory Walkthrough for Use in Schools. Proceedings of the 10th International Working Conference on Human-Centered Software Engineering (HCSE’24).

Dann, A. P., Hermann, B., &; Bodden, E. (2023). UpCy: Safely Updating Outdated Dependencies.

Peitz, S., &; Bieker, K. (2023). On the Universal Transformation of Data-Driven Models to Control Systems. Automatica, 149, Article 110840.https://doi.org/10.1016/j.automatica.2022.110840 

Schrader, E., Bernijazov, R., Foullois, M., Hillebrand, M., Kaiser, L., &; Dumitrescu, R. (2023). Examples of AI-based Assistance Systems in context of Model-Based Systems Engineering. 2022 IEEE International Symposium on Systems Engineering (ISSE).https://doi.org/10.1109/isse54508.2022.10005487 

Richter, C., Haltermann, J. F., Jakobs, M.-C., Pauck, F., Schott, S., &; Wehrheim, H. (2023). Are Neural Bug Detectors Comparable to Software Developers on Variable Misuse Bugs? 37th IEEE/ACM International Conference on Automated Software Engineering.https://doi.org/10.1145/3551349.3561156 

Schott, S., &; Pauck, F. (2023). Benchmark Fuzzing for Android Taint Analyses. 2022 IEEE 22nd International Working Conference on Source Code Analysis and Manipulation (SCAM).https://doi.org/10.1109/scam55253.2022.00007 

Pauck, F. (2023). Scaling Arbitrary Android App Analyses. 37th IEEE/ACM International Conference on Automated Software Engineering.https://doi.org/10.1145/3551349.3561339