Projects per year
Organisation profile
Description
The Josef Ressel Centre for Intelligent and Secure Industrial Automation investigates the fundamentals of digital assistants for industrial machines that enable intelligent and secure operation. This assistant should be able to relieve and support human operators by providing assistance in monitoring and controlling machines. The three research fields OT Architecture, OT Intelligence and OT Security provide the foundation for the digital assistant.
Industry 4.0 is accompanied by a vision: Flexible, adaptive and intelligently orchestrated value chains. These allow the production of personalised and individualised goods, shorter time-to-market times for new products and in the future the complete automation, autonomisation and optimisation of entire value chains. This development first requires adaptable, digitalised, interconnected and ultimately autonomous machines. The way there is to be prepared by digital assistants for industrial machines which raise the degree of autonomy of these machines through methods of artificial intelligence. This JR Centre aims to research and build the necessary foundations in the field of system architectures, artificial intelligence and cyber security in the context of industrial systems. The inherent interdisciplinarity is a prerequisite, challenge and opportunity at the same time.
Digital assistance for human operation
Autonomous machines require data communication beyond the boundaries of the factory's operational environment. Cyber security is a significant aspect of this. Security necessarily goes hand in hand with a continuous reduction of human control and permeability of data communication. Artificial intelligence creates methodological synergies between cyber security and assistance for machine operation especially with regard to anomaly detection.
It is primarily about artificial intelligence in the classical sense: a digital assistant must be able to receive perceptions from an environment and influence the environment by recommending actions to human operators, presenting information or controlling machines autonomously.
Research areas
The JR Centre focuses on three research areas:
- System architectures
- Artificial intelligence
- Cyber security
Together, these three areas form the foundation for a digital assistant.
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Collaborations and top research areas from the last five years
Profiles
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Stefan Huber
- Information Technologies and Digitalisation - Head of Research Group, Head of Research
- Josef Ressel Centre for Intelligent and Secure Industrial Automation
Person
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BIOCONTROL: Modellbasierte Strategie zur optimalen Betriebsführung von Bioreaktoren
Rehrl, J. (PI) & Sigl, A. (CoI)
1/10/24 → 30/09/27
Project: Funded research
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AI4GREEN: Data Science for Sustainability
Schäfer, G. (CoI), Huber, S. (PI) & Unger, H. (CoPI)
1/05/24 → 30/04/27
Project: Funded research
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JRZ ISIA: Josef Ressel Centre for Intelligent and Secure Industrial Automation
Huber, S. (PI), Hoher, S. (CoPI), Kranzer, S. (CoI), Schäfer, G. (CoI), Siebenhandl, N. (CoI), Uray, M. (CoI), Saßnick, O. (CoI), Unger, H. (CoI), Brettfeld, K. (CoI), Schindler, S. (CoI), Enzensberger, L. (CoI), Unger, A. (CoI), Rosenstatter, T. (CoI), Reich, E. S. (CoI), Nosrati, K. (CoI), Lürzer, L. (CoI), Zeng, S. (CoI), Sain, D. (CoI), Messineo, S. (CoI), Entleitner, F. (CoI), Haratzmüller, S. M. (CoI), Huber, L. (CoI), Pop, A.-I. (CoI), Rehrl, J. (CoI), Rosenstatter, T. (CoI), Schäfer, G. (CoI) & Uray, M. (CoI)
1/07/22 → 30/06/27
Project: Funded research
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A Cost-Effective Testbed for Measuring the Performance of Reference Switches
Hofer, T., Schmid, T. & Saßnick, O., 1 May 2025, Proceedings of the Austrian Robotics Workshop 2025.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Analysis and tuning of PID controller gains for DC servo drives using Garpinger’s trade-off plots
Hoher, S. & Rehrl, J., 2025, ARW Proceedings 25. Vol. 1. p. 19-24 6 p.Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
Open Access -
Deep Learning-Based Time Series Forecasting for Industrial Discrete Process Data
Sassnick, O., Rosenstatter, T., Unterweger, A. & Huber, S., 15 May 2025, 2025 IEEE 8th International Conference on Industrial Cyber-Physical Systems (ICPS). IEEE Canada, p. 1-6 6 p. 11087869Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Activities
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The Thirty-Ninth Annual Conference on Neural Information Processing Systems (Event)
Uray, M. (Reviewer) & Huber, S. (Reviewer)
2025Activity: Publication peer-review and editorial work › Publication Peer-review
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The 40th Annual AAAI Conference on Artificial Intelligence (Event)
Uray, M. (Reviewer)
2025Activity: Publication peer-review and editorial work › Publication Peer-review
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Topology, Algebra, and Geometry in Data Science 2025 (Event)
Uray, M. (Reviewer)
2025Activity: Publication peer-review and editorial work › Publication Peer-review
Prizes
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Teaching Award, 2. Platz
Uray, M. (Recipient), Wegenkittl, S. (Recipient), Schirl, M. J. (Recipient) & Havas, C. (Recipient), 21 Nov 2023
Prize
Press/Media
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Business Meets Diplomacy: Salzburgs Erfolgsgeschichte international vernetzt
2/10/25
1 item of Media coverage
Press/Media
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