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.

Smart Architectures Pyramid — 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
Testing theorethical approaches in the Process-to-Order Lab doi.org/10.2139/ssrn.4456423

Teaching

Research Projects

The Team

Research Assistant

Mr Dipl.-Ing. Lucas Vogt

Team Lead - Smart Architectures Group

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Professur für Prozessleittechnik Arbeitsgruppe Systemverfahrenstechnik

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Visiting address:

Merkelbau, MER/12A Helmholtzstraße 14

01069 Dresden

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Further Information

Group lead:

Dipl.-Ing. Lucas Vogt

Scientific Staff:

Zohra Charania M.Sc.

Dipl.-Ing. Xinyu Wang

Former scientific staff:

Dr. Ilhan Mutlu

Fatima Rani M.Sc.

Publications

37 Entries

2025

Automation in Biopharma: Impact of Industrial Control as a ServiceVogt, L. & Urbas, L., 18 Sep 2025, IFAC PapersOnLine. 6 p.Research output: Contribution to book/conference proceedings/anthology/report > Conference contribution
Automation of Automation: Mapping LLM Capabilities to the Modular Plant Engineering WorkflowVogt, L. & Urbas, L., 9 Sep 2025, 8 p.Research output: Contribution to conferences > Paper
Leveraging Machine Learning for Real-Time Performance Prediction of Near Infrared Separators in Waste Sorting PlantIqbal, I. M., Wang, X., Viedt, I. & Urbas, L., 27 Jul 2025, Proceedings of the 35th European Symposium on Computer Aided Process Engineering (ESCAPE 35). Van Impe, J., Léonard, G., Bhonsale, S. S., Polanska, M. & Logist, F. (eds.). PSE Press, p. 1688-1693, 6 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
A Comparative Analysis of Industrial MLOps prototype for ML Application Deployment at the edge devicesRani, F., Jose, F., Vogt, L. & Urbas, L., 1 Jul 2025, Proceedings of the 35th European Symposium on Computer Aided Process Engineering (ESCAPE). PSE Press, p. 1878-1883, 6 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
Aligning the LLM Landscape with the Modular Plant Engineering WorkflowVogt, L. & Urbas, L., 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
Developing an Adaptive UI for Complex, Non-Linear Semiconductor Production PlansJorde, M., Vogt, L. & Urbas, L., 18 Apr 2025, 13 p.Electronic (full-text) versionResearch output: Preprint/documentation/report > Preprint

2024

Bringing Human Cognition to Machines: Introducing Cognitive Edge Devices for the Process IndustryCharania, Z., Vogt, L., Klose, A. & Urbas, L., 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
Far vs. Near: A Decision Framework for Cloud and Edge Use in the Process IndustryVogt, L., Charania, Z. & Urbas, L., 12 Dec 2024, 2024 IEEE 22nd International Conference on Industrial Informatics (INDIN). Institute of Electrical and Electronics Engineers (IEEE), 8 p.Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
Industrial Control as a Service: "As a Service" automation in practiceVogt, L., Honold, F., Schmid, T., Punzenberger, L., Geising, S., Waltl, J., Beckhoff, L. & 6 others, 18 Nov 2024, In: atp magazin. 66, 11-12, p. 76-83, 8 p.Electronic (full-text) versionResearch output: Contribution to journal > Research article
IIoT Data-Driven Analytics Pipeline for Industrial Process EngineeringRani, F., Vogt, L. & Urbas, L., 11 Nov 2024Research output: Contribution to conferences > Poster