Smart Architectures (SmArt)
Introduction
The Smart Architectures team focuses on new methods and approaches to lay the foundations for flexible, efficient and reliable cyber-physical production systems of the future through architectural concepts. In particular, the increasing requirements regarding time-to-market, quality, flexibility, reliability and complexity handling are incorporated into the research.
Overview "Smart Architectures" Group
Research Focus
- How can automation architectures be future-proofed for Industry 4.0 and beyond in the process, manufacturing and pharmaceutical industries?
- How can the use of advanced automation methods such as artificial intelligence, machine learning or model predictive control be enabled or facilitated in industry through suitable system architectures?
- How can novel measures and applications be designed to ensure the quality, stability and integrity of the data generated in Industry 4.0?
- How can new methods and approaches be implemented to enable more efficient data acquisition, storage and processing in an industrial context?
Innovative Methods and Tools
- Scenario techniques for requirements elicitation doi.org/10.51202/9783181024195
- Smart automation architectures doi.org/10.1109/ETFA.2019.8869439
- Technologieanalysen doi.org/10.1109/ITNAC55475.2022.9998327
- Concept development for data-driven industrial applications FIS TU Dresden
- Testing theorethical approaches in the Process-to-Order Lab doi.org/10.2139/ssrn.4456423
Teaching
Research Projects
- ecoKI - Increasing Energy Efficiency in Production Through Digitalization and AI
- ENSORT - Steigerung der Energieefffizienz im Abfall- und Recyclingstoff-Sortierprozess durch Erhöhung des Automatisierungsgrades
The Team
© Lucas Vogt
Research Assistant
NameMr Dipl.-Ing. Lucas Vogt
Team Lead - Smart Architectures Group
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Professur für Prozessleittechnik Arbeitsgruppe Systemverfahrenstechnik
Professur für Prozessleittechnik Arbeitsgruppe Systemverfahrenstechnik
Visiting address:
Merkelbau, MER/12A Helmholtzstraße 14
01069 Dresden
Group lead:
Scientific Staff:
Fatima Rani M.Sc.
Dipl.-Ing. Xinyu Wang
Former scientific staff:
Dr. Ilhan Mutlu
Publications
2025
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A Comparative Analysis of Industrial MLOps prototype for ML Application Deployment at the edge devices, 1 Jul 2025, Proceedings of the 35th European Symposium on Computer Aided Process Engineering (ESCAPE). PSE Press, p. 1878-1883Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
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Aligning the LLM Landscape with the Modular Plant Engineering Workflow, 1 Jul 2025, AUTOMATION 2025 - 26. Leitkongress der Mess- und Automatisierungstechnik: Human Centric Automation. Baden-Baden: VDI Verlag, Düsseldorf, p. 141-152, 12 p.Research output: Contribution to book/conference proceedings/anthology/report > Conference contribution
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Developing an Adaptive UI for Complex, Non-Linear Semiconductor Production Plans, 18 Apr 2025, 13 p.Electronic (full-text) versionResearch output: Preprint/documentation/report > Preprint
2024
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Bringing Human Cognition to Machines: Introducing Cognitive Edge Devices for the Process Industry, 12 Dec 2024, Proceedings - 2024 IEEE 22nd International Conference on Industrial Informatics, INDIN 2024. Institute of Electrical and Electronics Engineers (IEEE), 7 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
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Far vs. Near: A Decision Framework for Cloud and Edge Use in the Process Industry, 12 Dec 2024, Proceedings - 2024 IEEE 22nd International Conference on Industrial Informatics, INDIN 2024. Institute of Electrical and Electronics Engineers (IEEE), 8 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
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Industrial Control as a Service: "As a Service" automation in practice, 18 Nov 2024, In: atp magazin. 66, 11-12, p. 76-83, 8 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article
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IIoT Data-Driven Analytics Pipeline for Industrial Process Engineering, 11 Nov 2024Research output: Contribution to conferences > Poster
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Containerisierung von Model Predictive Control für modulare Anlagen: Ein Schritt zu intelligenten Edge Systemen , 2 Jul 2024, Automation 2024: 25. Leitkongress der Mess- und Automatisierungstechnik (AUTOMATION 2024) ;AI beats Automation?. 1 ed., VDI Verlag, Düsseldorf, p. 33-45, 14 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
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Demonstration von “Industrial Control as a Service” für Biopharma-Anwendungen, 2 Jul 2024, Automation 2024: 25. Leitkongress der Mess- und Automatisierungstechnik (AUTOMATION 2024) ;AI beats Automation?. 1 ed., VDI Verlag, Düsseldorf, p. 485-496, 12 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
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Scalable data pipeline: Ontology-based OPC UA data access for the industrial internet of things, 2 Jul 2024, Automation 2024 : 25. Leitkongress der Mess- und Automatisierungstechnik (AUTOMATION 2024) ;AI beats Automation?. 1 ed., VDI Verlag, Düsseldorf, p. 419-434, 16 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
This information is provided by the FIS.