Marko Ristin

Projects

• Dr. Chiller - Immersive AR Framework for First-Level Maintenance Support / Team member / ongoing
• SmartAssets - Digital Transformation in Industry 4.0 / Deputy project leader / ongoing
• From Supply Chain Data to Digital Twins: A GS1–AAS Interoperability Bridge / Co-project leader / completed
• Build Smarter. Cleaner. Cheaper. / Team member / completed

Publications

Written conference contributions, peer-reviewed

• Sedigh, M. et al. (2026) 'Architecture meets automation : mapping building information modeling to Industrie 4.0 digital twins', in 2026 IEEE 22nd International Conference on Factory Communication Systems (WFCS). IEEE. doi: 10.1109/wfcs67029.2026.11511565.
• Braunisch, N. et al. (2025) 'Recognizing and integrating legacy assembly diagrams into Industry 4.0', in IECON 2025 – 51st Annual Conference of the IEEE Industrial Electronics Society. IEEE. doi: 10.1109/iecon58223.2025.11221583.
• Miny, T. et al. (2025) 'Semantic comparison of asset administration shells', in 2025 IEEE 30th International Conference on Emerging Technologies and Factory Automation (ETFA). IEEE. doi: 10.1109/etfa65518.2025.11205541.
• Gneuß, T. et al. (2025) 'Combining publicly available SDKs and code generation tools to streamline the implementation of AAS applications'. IEEE. doi: 10.1109/etfa65518.2025.11205694.
• Perez Olaya, S. S. et al. (2025) 'Digital twin in Industrie 4.0 implementation for embedded systems', in 2025 IEEE 21st International Conference on Automation Science and Engineering (CASE). IEEE, pp. 1760–1765. doi: 10.1109/case58245.2025.11163805.
• Braunisch, N. et al. (2025) 'Leveraging software development of I4.0 digital twins for PLC programming', in 2025 IEEE 34th International Symposium on Industrial Electronics (ISIE). IEEE. doi: 10.1109/isie62713.2025.11124616.
• Gneuß, T. et al. (2025) 'Streamlining AAS data exchange : a novel approach using protocol buffers', in 2025 IEEE 34th International Symposium on Industrial Electronics (ISIE). IEEE. doi: 10.1109/isie62713.2025.11124666.
• Otto, B. et al. (2025) 'Quick response code-integrated digital twin with asset administration shells', in 2025 IEEE 8th International Conference on Industrial Cyber-Physical Systems (ICPS). IEEE. doi: 10.1109/icps65515.2025.11087888.
• Heppner, S. et al. (2025) 'Refining NLP semantic matches through dialogue with large language models'. IEEE. doi: 10.1109/icps65515.2025.11087870.
• Braunisch, N. et al. (2025) 'AAS meets OPC UA : a unified approach to digital twins'. IEEE. doi: 10.1109/icps65515.2025.11087887.
• Otto, B. et al. (2025) 'Code and test generation for I4.0 state machines with LLM-based diagram recognition', in 2025 IEEE 21st International Conference on Factory Communication Systems (WFCS). IEEE. doi: 10.1109/wfcs63373.2025.11077624.
• Braunisch, N. et al. (2025) 'The link between programmable logic controllers and Industry 4.0 digital twins'. IEEE. doi: 10.1109/icecet63943.2025.11472600.
• Braunisch, N. et al. (2025) 'Service-oriented architecture for I4.0 digital twins', in IECON 2024 - 50th Annual Conference of the IEEE Industrial Electronics Society. IEEE. doi: 10.1109/iecon55916.2024.10905573.
• Fathi, K. et al. (2024) 'Sustainability in semiconductor production via interpretable and reliable predictions', in IFAC-PapersOnLine. Elsevier, pp. 174–179. doi: 10.1016/j.ifacol.2024.07.213.
• Tinnes, C. et al. (2024) 'From unstructured product descriptions to structured data for Industry 4.0 with ChatGPT', in 2024 IEEE 7th International Conference on Industrial Cyber-Physical Systems (ICPS). IEEE. doi: 10.1109/icps59941.2024.10639992.
• Braunisch, N. et al. (2024) 'Automatic fuzzing of asset administration shells as digital twins for Industry 4.0', in 2024 IEEE 20th International Conference on Automation Science and Engineering (CASE). IEEE, pp. 3525–3530. doi: 10.1109/case59546.2024.10711585.
• Miny, T. et al. (2024) 'Towards a test framework for reactive (type 2) asset administration shell implementations', in 2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA). IEEE. doi: 10.1109/etfa61755.2024.10710957.
• Braunisch, N. et al. (2024) 'Generation of digital twins for exchanging information via application programming interfaces', in 2024 IEEE 7th International Conference on Industrial Cyber-Physical Systems (ICPS). IEEE. doi: 10.1109/icps59941.2024.10639996.
• Braunisch, N. et al. (2024) 'Software evolution of I4.0 digital twins with semantic patching', in 2024 IEEE 33rd International Symposium on Industrial Electronics (ISIE). IEEE. doi: 10.1109/isie54533.2024.10595745.
• Fathi, K. et al. (2024) 'Domain adaptation via simulation parameter and data perturbation for predictive maintenance', in Do, P. and Ezhilarasu, C. (eds) Proceedings of the PHM Society European Conference 2024. PHM Society, pp. 389–399. doi: 10.36001/phme.2024.v8i1.3985.
• Fathi, K. et al. (2024) 'Detection of novel asset failures in predictive maintenance using classifier certainty', in 2024 32nd Mediterranean Conference on Control and Automation (MED). IEEE, pp. 50–56. doi: 10.1109/med61351.2024.10566204.
• Braunisch, N. et al. (2024) 'Digital twin in Industrie 4.0 for embedded systems', in 2024 IEEE 20th International Conference on Factory Communication Systems (WFCS). IEEE. doi: 10.1109/wfcs60972.2024.10540968.
• Braunisch, N. et al. (2023) 'Empowering Industry 4.0 with generative and model-driven SDK development', in IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society. IEEE. doi: 10.1109/iecon51785.2023.10312302.
• Braunisch, N. et al. (2023) 'Maturity evaluation of SDKs for I4.0 digital twins', in 2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation (ETFA). IEEE. doi: 10.1109/etfa54631.2023.10275719.
• Braunisch, N. et al. (2023) 'Generation of digital twins for information exchange between partners in the Industrie 4.0 value chain', in 2023 IEEE 21st International Conference on Industrial Informatics (INDIN). IEEE. doi: 10.1109/indin51400.2023.10218306.
• Miny, T. et al. (2022) 'Semi-automatic testing of data-focused software development kits for Industrie 4.0', in 2022 IEEE 20th International Conference on Industrial Informatics (INDIN). IEEE, pp. 269–274. doi: 10.1109/INDIN51773.2022.9976069.
• Zhang, J. et al. (2022) 'Python-by-contract dataset', in Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering. Association for Computing Machinery, pp. 1652–1656. doi: 10.1145/3540250.3558917.
• Ristin, M., Edvardsen, D. F. and van de Venn, H. W. (2021) 'RASAECO : Requirements Analysis of Software for the AECO industry', in 2021 IEEE 29th International Requirements Engineering Conference (RE). IEEE, pp. 280–290. doi: 10.1109/RE51729.2021.00032.
• Braunisch, N. et al. (2021) 'Generative and model-driven SDK development for the industrie 4.0 digital twin', in 2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA ). IEEE. doi: 10.1109/ETFA45728.2021.9613164.

Other publications

• Bader, S. et al. (2022) Details of the Asset Administration Shell - part 1 : the exchange of information between partners in the value chain of Industrie 4.0 (Version 3.0RC02). Berlin: Federal Ministry for Economic Affairs and Climate Action (BMWK). doi: 10.21256/zhaw-27075.
• Bader, S. et al. (2021) Details of the Asset Administration Shell - part 2 : interoperability at runtime - exchanging information via Application Programming Interfaces (1.0RC02). Berlin: Federal Ministry for Economic Affairs and Energy (BMWi). doi: 10.21256/zhaw-27076.

Research data

• Ristin, Marko, 2026. Improving semantic quality of AAS submodel templates : dataset and LLM-based validation approach. Zenodo. Available from: https://doi.org/10.5281/zenodo.19114978
• Ristin, Marko, 2026. Verification of semantic dictionaries with semantic embedding and LLMs. Zenodo. Available from: https://doi.org/10.5281/zenodo.19596042
• Ristin, Marko, 2026. Code for mapping building information modeling to Industrie 4.0 digital twins. Zenodo. Available from: https://doi.org/10.5281/zenodo.18166929
• Ristin, Marko, 2026. Automatic generation of JSON schemas for Industry 4.0 digital twin templates. Zenodo. Available from: https://doi.org/10.5281/zenodo.18384537

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