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

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

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

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

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

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

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

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

Koch K, Claes L, Jurgelucks B, Meihost L, Henning B. Inverses Verfahren zur Identifikation piezoelektrischer Materialparameter unterstützt durch neuronale Netze. In: Gesellschaft für Akustik e.V. D, ed. Fortschritte der Akustik - DAGA 2024. ; 2024:1113–1116.

Claes L. Einfluss der periodischen Struktur auf geführte Wellen in gewebeverstärkten Polymeren. In: Gesellschaft für Akustik e.V. D, ed. Fortschritte Der Akustik - DAGA 2024. ; 2024:620–623.

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

Zeipert H, Hölscher J, Claes L, Henning B. Beschreibung des akustischen Verhaltens verklebter plattenförmiger Strukturen mittels Kopplungsmodellen. In: Gesellschaft für Akustik e.V. D, ed. Fortschritte Der Akustik - DAGA 2024. ; 2024:640–643.

Akhter J, Fährmann PD, Sonntag K, Peitz S. Common pitfalls to avoid while using multiobjective optimization in machine learning. arXiv. Published online 2024.

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

Karakaya K, Bodden E. Symbol-Specific Sparsification of Interprocedural Distributive Environment Problems. In: Proceedings of the IEEE/ACM 46th International Conference on Software Engineering. ACM; 2024. doi:10.1145/3597503.3639092

Nicolai M, Bulling J, Lugovtsova Y, Zeipert H, Prager J, Henning B. On the repulsion effect of coupled Lamb wave modes. In: Gesellschaft für Akustik e.V. D, ed. Fortschritte Der Akustik - DAGA 2024. ; 2024:632–635.

Karakaya K, Schott S, Klauke J, et al. SootUp: A Redesign of the Soot Static Analysis Framework. In: Tools and Algorithms for the Construction and Analysis of Systems. Springer Nature Switzerland; 2024. doi:10.1007/978-3-031-57246-3_13

Johnson O, Piskachev G, Krishnamurthy R, Bodden E. Detecting Security-Relevant Methods using Multi-label Machine Learning. In: Proceedings of the 46th International Conference on Software Engineering, IDE Workshop. ; 2024. doi:10.48550/ARXIV.2403.07501

Amer A, Álvarez-Tuñón O, Ufurlu H, Le Fevre Sejersen J, Brodskiy Y, Kayacan E. UNav-Sim: A Visually Realistic Underwater Robotics Simulator and Synthetic Data-Generation Framework. In: 2023 21st International Conference on Advanced Robotics (ICAR). IEEE; 2024. doi:10.1109/icar58858.2023.10406819

Shivarpatna Venkatesh AP, Sabu S, Wang J, Mir AM, Li L, Bodden E. TypeEvalPy: A Micro-benchmarking Framework for Python Type Inference  Tools. In: Proceedings of the 46th International Conference on Software Engineering, Tool Demo Track. ; 2024.