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

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

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

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

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

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

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

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

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

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

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

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

Common pitfalls to avoid while using multiobjective optimization in machine learning
J. Akhter, P.D. Fährmann, K. Sonntag, S. Peitz, ArXiv (2024).

Evaluating Security Through Isolation and Defense in Depth
E. Bodden, J. Pottebaum, M. Fockel, I. Gräßler, IEEE Security &; Privacy 22 (2024) 69–72.

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

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

SootUp: A Redesign of the Soot Static Analysis Framework
K. Karakaya, S. Schott, J. Klauke, E. Bodden, M. Schmidt, L. Luo, D. He, in: Tools and Algorithms for the Construction and Analysis of Systems, Springer Nature Switzerland, Cham, 2024.

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

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

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