Dr. Marko Ristin

Work at ZHAW

Position

Project Lead and Researcher in Industry 4.0 and Digital Twins

Focus

• Software Engineering and Open-Source Software for Industry 4.0
• Predictive Maintenance and Industrial Data Analytics
• Artificial Intelligence and Large Language Models for Industrial Applications
• Asset Administration Shell (AAS) and Industrial Interoperability

Network

ORCID digital identifier

ORCID ID: 0000-0002-7202-404X

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

Selected 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.
• 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. (2026) 'Collaborative engineering and operation of Industry 4.0 digital twins with conflict-free replicated data types', in 2026 IEEE 9th International Conference on Industrial Cyber-Physical Systems (ICPS). IEEE. doi: 10.1109/icps70486.2026.11567967.
• 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.
• 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.

Publications

Articles in scientific journal, peer-reviewed

• Malikov, N., Ristin, M. and Seytnazarov, S. (2026) 'When data augmentation falls short : Wi-Fi fingerprint-based indoor localization revisited', Sensors, 26(17), p. 5392. doi: 10.3390/s26175392.
• Assylbek, D. et al. (2026) 'Efficient semantic image communication for traffic monitoring at the edge', Internet of Things, 39(102029). doi: 10.1016/j.iot.2026.102029.

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.
• Miny, T. et al. (2026) 'Automatic quality assessment of asset administration shell submodel templates', in 23rd IFAC World Congress, Busan, Republic of Korea, 23-28 August 2026. Winterthur: ZHAW Zurich University of Applied Sciences. doi: 10.21256/zhaw-37448.
• Ristin, M. et al. (2026) 'Automatic generation of JSON schemas for Industry 4.0 digital twin templates', in 2026 IEEE 9th International Conference on Industrial Cyber-Physical Systems (ICPS). IEEE. doi: 10.1109/icps70486.2026.11567955.
• Braunisch, N. et al. (2026) 'Collaborative engineering and operation of Industry 4.0 digital twins with conflict-free replicated data types', in 2026 IEEE 9th International Conference on Industrial Cyber-Physical Systems (ICPS). IEEE. doi: 10.1109/icps70486.2026.11567967.
• 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.
• Gneuß, T. et al. (2025) 'Combining publicly available SDKs and code generation tools to streamline the implementation of AAS applications', in 2025 IEEE 30th International Conference on Emerging Technologies and Factory Automation (ETFA). IEEE. doi: 10.1109/etfa65518.2025.11205694.
• 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.
• 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.
• Heppner, S. et al. (2025) 'Refining NLP semantic matches through dialogue with large language models', in 2025 IEEE 8th International Conference on Industrial Cyber-Physical Systems (ICPS). IEEE. doi: 10.1109/icps65515.2025.11087870.
• 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.
• Braunisch, N. et al. (2025) 'AAS meets OPC UA : a unified approach to digital twins', in 2025 IEEE 8th International Conference on Industrial Cyber-Physical Systems (ICPS). 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.
• Burambekova, S. et al. (2025) 'General management of I4.0 digital twins with augmented reality in dry harsh weather', in Automation 2025 : Human-centric Automation. Baden-Baden: VDI Verlag, pp. 831–844. doi: 10.51202/9783181024577-831.
• Braunisch, N. et al. (2025) 'Die Asset Administration Shell (AAS) und OPC UA : ein Schlüssel zur interoperablen Industrie 4.0', in Automation 2025 : Human-centric Automation. Baden-Baden: VDI Verlag, pp. 711–726. doi: 10.51202/9783181024577-711.
• Vogel, J. A. et al. (2025) 'Extraktion von technischen Daten mit LLMs : Erfahrungsbericht und Evaluation anhand von Verwaltungsschalen', in Automation 2025 : Human-centric Automation. Baden-Baden: VDI Verlag, pp. 153–168. doi: 10.51202/9783181024577-153.
• Braunisch, N. et al. (2025) 'The link between programmable logic controllers and Industry 4.0 digital twins', in 2025 5th International Conference on Electrical, Computer and Energy Technologies (ICECET). 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) 'aas-core-swiss-knife, das Schweizer Taschenmesser für Verwaltungsschalen', in Automation 2024 : AI beats Automation? Baden-Baden: VDI Verlag, pp. 973–984. doi: 10.51202/9783181024379-973.
• Braunisch, N. et al. (2024) 'Reifegrad der Softwareentwicklung für Digitale Zwillinge in Industrie 4.0', in Automation 2024 : AI beats Automation? Baden-Baden: VDI Verlag, pp. 557–568. doi: 10.51202/9783181024379-557.
• 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.
• 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.
• 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.
• 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.
• Ristin, Marko, 2026. Automatic generation of JSON schemas for Industry 4.0 digital twin templates. Zenodo.
• Ristin, Marko, 2026. Verification of semantic dictionaries with semantic embedding and LLMs. Zenodo.
• Ristin, Marko, 2026. Code for mapping building information modeling to Industrie 4.0 digital twins. Zenodo.

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