Title Moallem, A., Degen, H., & Ntoa, S. (Eds.). (2026). Artificial Intelligence and Large Language Models: A Scientific Perspective. CRC Press.
https://www.routledge.com/Artificial-Intelligence-and-Large-Language-Models-A-Scientific-Perspective/Moallem-Degen-Ntoa/p/book/9781032775128
Contribution to Bookchapter Chapter 12 How Do AI and LLMs Change Our Lives? Reflections and Outlook
Helmut Degen, Stavroula Ntoa, Abbas Moallem, Joerg Beringer, Carrie Ching, Lance Chong, Thomas Geis, Pei‑Hsuan Hsieh, Khalid Kattan, Prabhat Kumar, André Frank Krause, Carsten Lanquillon, Rebecca McNulty, Mark Mittrick, Mark Nuppnau, Abraham Moore Odell, Ming Qian, Adrienne Raglin, Robert G.
Title Ching, C., & Krause, A. F. (2026). Evaluating Tang Poem Comprehension of Foreigners in Holistically Designed Spatial Experience in Virtual Reality. In International Conference on Human-Computer Interaction (pp. 136-147). Cham: Springer Nature Switzerland.
DOI: https://doi.org/10.1007/978-3-032-12764-8_12
Abstract Virtual Reality (VR) is an intuitive and natural Human-Computer Interaction interface that can facilitate learning, entertainment, simulation and humanities. But it is often resource-demanding to design, develop and evaluate. In previous study, by expressing a Classical-Chinese-written Tang poem “Snow on the River” (SOR) via storytelling in English and holistically designed spatial experience in VR, a VR experience for reading SOR was created, and a design methodology for creating a VR for reading Tang poetry was generalized.
Title Cheruvalath, S. S., Laporte, M., Bombassei De Bona, F., Hassan, T., & Gjoreski, M. (2025, October). Generating Explanations for Models Predicting Student Exam Performance. In Companion of the 2025 ACM International Joint Conference on Pervasive and Ubiquitous Computing (pp. 1679-1684).
Abstract Understanding and improving student performance is a central concern in education, and predictive models can provide valuable insights—provided their decisions are transparent and explainable. However, many machine learning (ML) models used for this purpose lack interpretability, limiting their practical utility.
Title Vered, M., Hassan, T., Ntekouli, M., Bae, S. W., & Gjoreski, M. (2025, October). XAI for U 2025: 2 nd International Workshop on Explainable AI for Ubiquitous, Pervasive and Wearable Computing. In Companion of the 2025 ACM International Joint Conference on Pervasive and Ubiquitous Computing (pp. 1670-1673).
Abstract The workshop XAI for U aims to address the critical need for transparency in Artificial Intelligence (AI) systems that are increasingly integrated into our daily lives through mobile systems, wearables, and smart environments.
Title Yavuz, S., Grashof, R., Nitsche, T., Breil, B., and Naroska, E. (2025). Development of a pro-adaptive wrist-worn wearable device for Parkinson disease symptoms: Concept and initial approach, Abstracts of the 2025 Joint Annual Conference of the Austrian (ÖGBMT), German (VDE DGBMT) and Swiss (SSBE) Societies for Biomedical Engineering Biomedical Engineering / Biomedizinische Technik, vol. 70, no. s1, 2025, pp. 1-374.
DOI: https://doi.org/10.1515/bmt-2025-1001
Title Grashof, R., Yavuz, S., Gräbel, J. and Breil, B. (2025). Interviews zur nutzerorientierten Entwicklung pro-adaptiver kognitiver Assistenzsysteme: Bedürfnisse von Alzheimer-Patienten. 70. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e.V. (GMDS)
Abstract: grashof2025_gmds_abstract.pdf
Poster: grashof2025_gmds_poster.pdf
Title Grashof R, Lipprandt M, Breil B. Cognitive assistive technologies for degenerative diseases and related evaluation methods: A scoping review. GMS Med Inform Biom Epidemiol. 2025;21:Doc09.
DOI: https://doi.org/10.3205/mibe000281
Abstract Assistive technologies (ATs) are crucial for people with degenerative diseases that affect cognitive functions. To date, no comprehensive review has systematically examined these technologies and their evaluation methods. To outline the current state of research, we conducted a scoping review on cognitive ATs that provide direct assistance.
Title Krause, A. F. *, Kannen, K. *, Büscher, S., Ressel, C. & Wild-Wall, N. (2025). Pro-adaptive Cognitive Assistive Technology: Concept and Application in Reading Support for ADHD. In International Conference on Extended Reality (pp. xx-xx). Springer Lecture Notes in Computer Science. (in press).
(*) These authors contributed equally to this work.
Title Buschmeier, H., Hassan, T., & Kopp, S. (2024, November). Multimodal Co-Construction of Explanations with XAI Workshop. In Proceedings of the 26th International Conference on Multimodal Interaction (pp. 698-699).
Abstract The ICMI 2024 workshop on “Multimodal Co-Construction of Explanations with XAI” bridges the fields of Explainable Artificial Intelligence (XAI) and Multimodal Interaction, focusing on the recent perspective that effective AI explanations should be dynamically co-constructed through interactive, social processes involving both the explainer and the explainee.
Title Yavuz, S. (2024). Development of a 2-4 double arbiter PUF design on FPGA with enhanced performance.
Abstract Implementation of delay-based Physical Unclonable Functions (PUFs) on FPGAs poses significant challenges due to high requirements, such as the generation of unique and reliable keys. These requirements must be fulfilled, especially when using PUFs in security applications, otherwise security cannot be guaranteed. In addition, it must be ensured that physical disturbances such as fluctuations in the ambient temperature do not have a major impact on the performance of the PUF and therefore on security.
