Dr.ir. U. Odyurt | People Pages: Find employees & contact details | University of Twente

Expertise

Computer Science
- Cyber Physical Systems
- Learning System
- Machine Learning
- Machine Learning Model
- Data Processing
- Use Case
- Solution Design
- Domain-specific languages

Organisations

Publications

2026

Explainable AI to Improve Machine Learning Reliability for Industrial Cyber-Physical Systems (2026)In Advances and Trends in Artificial Intelligence. Theory and Applications: 39th International Conference on Industrial, Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2026, Kuala Lumpur, Malaysia, July 6–8, 2026, Proceedings, Part II (pp. 29-41) (Lecture Notes in Computer Science; Vol. 16615). Springer. Jutte, A. & Odyurt, U.https://doi.org/10.1007/978-981-92-2891-1_3CPSLint: A Domain-Specific Language Providing Data Validation and Sanitisation for Industrial Cyber-Physical Systems (2026)In Proceedings of the 19th ACM SIGPLAN International Conference on Software Language Engineering, SLE '26 (pp. 78-91) (ACM SIGPLAN International Conference on Software Language Engineering; Vol. 2026). Association for Computing Machinery (ACM). Odyurt, U., Sayilir, Ö. F., Stoelinga, M. I. A. & Zaytsev, V.https://doi.org/10.1145/3806383.3815519Demonstrators for Industrial Cyber-Physical System Research: A Requirements Hierarchy Driven by Software-Intensive Design (2026)Designs, 10(3). Article 59. Odyurt, U., Loendersloot, R. & Tinga, T.https://doi.org/10.3390/designs10030059Recent developments in Transformer inference deployment on FPGA platforms: A Survey (2026)Journal of systems architecture, 177. Article 103841 (E-pub ahead of print/First online). Blankestijn, A., Odyurt, U. & Yousefzadeh, A.https://doi.org/10.1016/j.sysarc.2026.103841Implementing CPSLint: A Data Validation and Sanitisation Tool for Industrial Cyber-Physical Systems (2026)[Working paper › Preprint]. ArXiv.org. Odyurt, U., Sayilir, Ö., Stoelinga, M. & Zaytsev, V.https://doi.org/10.48550/arXiv.2604.18191XAI for CPS - Data and Trained Models (2026)[Dataset Types › Dataset]. Zenodo. Odyurt, U.https://doi.org/10.5281/zenodo.19135487Explainable AI to Improve Machine Learning Reliability for Industrial Cyber-Physical Systems (2026)[Working paper › Preprint]. ArXiv.org. Jutte, A. & Odyurt, U.https://doi.org/10.48550/arXiv.2601.16074

2025

Defining Energy Indicators for Impact Identification on Aerospace Composites: A Physics-Informed Machine Learning Perspective (2025)[Working paper › Preprint]. ArXiv.org. Ribeiro Marinho, N., Loendersloot, R., Grooteman, F., Wiegman, J. W., Odyurt, U. & Tinga, T.https://doi.org/10.48550/arXiv.2511.01592CPSLint: A Domain-Specific Language Providing Data Validation and Sanitisation for Industrial Cyber-Physical Systems (2025)[Working paper › Preprint]. ArXiv.org. Odyurt, U., Sayilir, Ö., Stoelinga, M. & Zaytsev, V.https://doi.org/10.48550/arXiv.2510.18651Demonstrators for Industrial Cyber-Physical System Research: A Requirements Hierarchy Driven by Software-Intensive Design (2025)[Working paper › Preprint]. ArXiv.org. Odyurt, U., Loendersloot, R. & Tinga, T.https://doi.org/10.48550/arXiv.2510.18534

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University of Twente

Horst Complex (building no. 20), room N119
De Horst 2
7522 LW Enschede
Netherlands

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