Publikationen
Hirsch, E., Hoher, S., Huber, S., “An OPC UA-based industrial Big Data architecture.” In: 2023 IEEE 21st
International Conference on Industrial Informatics (INDIN). Lemgo, Germany: IEEE, 2023-07, pp. 1–7. isbn:
978-1-66549-313-0. doi: 10.1109/INDIN51400.2023.10217899.
Huber, S., Waclawek, H., “𝒞𝑘-continuous Spline Approximation with TensorFlow Gradient Descent Optimizers.”
In: Computer Aided Systems Theory – EUROCAST 2022. Cham: Springer Nature Switzerland,
2023-02, pp. 577–584. isbn: 978-3-031-25312-6. doi: 10 . 1007 / 978 - 3 - 031 - 25312 - 6 _ 68. url: arxiv.org/abs/2303.12454.
Kienzlen, A., Göttlich, S., Hoher, S., Verl, A., Weißen, J., “Echtzeitsimulation in der Produktionsautomatisierung.”
In: Springer-Verlag, 2024. Chap. Materialflusssimulation für die Virtuelle Inbetriebnahme in
Steuerungsechtzeit. isbn: 978-3-662-66216-8.
Kozlica, R., Schäfer, G., Hirländer, S., Wegenkittl, S., “A Modular Test Bed for Reinforcement Learning
Incorporation into Industrial Application.” In: Proceedings of the5th International Data Science Conference (iDSC ’23). Data Science – Analytics and Applications. not peer-reviewed. Krems, Autria, 2023-05.
Saßnick, O., Rosenstatter, T., Huber, S., “Cyber Security Research for Industrial Automation.” In: Information
Unlimited Magazine. Vol. 41. not peer-reviewed. COPA-DATA, 2023.
Saßnick, O., Rosenstatter, T., Schäfer, C., Huber, S., “STRIDE-based Methodologies for Threat Modeling
of Industrial Control Systems: A Review.” In: 2024 IEEE 7th International Conference on Industrial Cyber-
Physical Systems (ICPS). accepted. St. Louis, USA: IEEE, 2024-05.
Saßnick, O., Schäfer, G., Rosenstatter, T., Huber, S., “A Generative Model Based Honeypot for Industrial
OPC UA Communication.” In: Computer Aided Systems Theory – EUROCAST 2024 – Extended Abstracts.
Vol. 19. inpress. 2024-02.
Schäfer, G., Krau, T., Schirl, M., Huber, S., “Quantitative Trend Analysis of Reinforcement Learning Algorithms
in Production Systems.” In: Computer Aided Systems Theory – EUROCAST 2024 – Extended
Abstracts. Vol. 19. inpress. 2024-02.
Schäfer, G., Kozlica, R., Wegenkittl, S., Huber, S., “An Architecture for Deploying Reinforcement Learning
in Industrial Environments.” In: Computer Aided Systems Theory – EUROCAST 2022. Cham: Springer
Nature Switzerland, 2023-02, pp. 569–576. isbn: 978-3-031-25312-6. doi: 10.1007/978-3-031-25312-
6_67.
Schäfer, G., Schirl, M., Rehrl, J., Huber, S., Hirlaender, S., “Python-Based Reinforcement Learning on
Simulink Models.” In: 11th International Conference on Soft Methods in Probability and Statistics (SMPS
2024). submitted. Salzburg, Austria, 2024-09.
Schäfer, G., Waclawek, H., Riedmann, S., Binder, C., Neureiter, C., Huber, S. “Comparison of Model Predictive Control and Proximal Policy Optimization for a 1-DOF Helicopter System.” In: 2024 IEEE 22st International Conference on Industrial Informatics (INDIN). accepted. Beijing, China: IEEE, 2024-08.
Schäfer, G., Waclawek, H., Riedmann, S., Binder, C., Neureiter, C., Huber, S., “IT/OT Integration by Design.”
In: INCOSE International Symposium. accepted. Dublin, Ireland, 2024-07. url: arxiv.
org/abs/2305.19735.
Schindler, S., Uray, M., Huber, S., “A Mini Review on the Utilization of Reinforcement Learning with OPC
UA.” In: 2023 IEEE 21st International Conference on Industrial Informatics (INDIN). Lemgo, Germany:
IEEE, 2023-07, pp. 1–6. isbn: 978-1-66549-313-0. doi: 10.1109/INDIN51400.2023.10218289.
Uray, M., Wintersteller, S., Huber, S., “CSRX: A novel Crossover Operator for a Genetic Algorithm applied
to the Traveling Salesperson Problem.” In: Proceedings of the 5th International Data Science Conference
(iDSC ’23). Data Science – Analytics and Applications. Springer Nature Switzerland, 2024, pp. 21–27.
isbn: 978-3-031-42171-6. doi: 10.1007/978-3-031-42171-6_3. url: link.springer.com/10.
1007/978-3-031-42171-6_3.
Waclawek, H., Huber, S., “Machine Learning Optimized Orthogonal Basis Piecewise Polynomial Approximation.”
In: Learning and Intelligent Optimization (LION 18). Lecture Notes in Computer Science. accepted.
Springer Cham, 2024-06. url: arxiv.org/abs/2403.08579.
Waclawek, H., Schäfer, G., Binder, C., Hirsch, E., Huber, S., “Digital Twins of Business Processes as Enablers
for IT / OT Integration.” In: 2023 IEEE 21st International Conference on Industrial Informatics (INDIN).
Lemgo, Germany: IEEE, 2023-07, pp. 1–7. isbn: 978-1-66549-313-0. doi: 10.1109/INDIN51400.
2023.10217905.
Wintersteller, S., Uray, M., Lehenauer, M., Huber, S., “Improvements for mlrose Applied to the Traveling
Salesperson Problem.” In: Computer Aided Systems Theory – EUROCAST 2022. Ed. by Roberto Moreno-
Díaz, Franz Pichler, and Alexis Quesada-Arencibia. Cham: Springer Nature Switzerland, 2023-02, pp. 611–
618. isbn: 978-3-031-25312-6. doi: 10.1007/978-3-031-25312-6_72. url: arxiv.org/abs/
2109.14392.
Submitted work
The following papers have been submitted and are currently under review.
Binder, C., Hoher, S., Maxim, B., Riedmann, S., Neureiter, C., Huber, S., “Application of FMVEA by Design
for Adding Smart Functionalities to an Existing Campervan.” In: 29th IEEE International Conference on
Emerging Technologies and Factory Automation (ETFA24). submitted. 2024.
Krau, T., Schäfer, G., Tobias, D., Heieck, F., “Investigation of the Robustness and Transferability of Reinforcement Learning Strategies in Real-world Physical Settings.” In: 20th International Conference on
Automation Science and Engineering. submitted. Bari, Italy, 2024-08.
Rosenstatter, T., Schneider, M., Mayer, P., Wagner, H., Müller, S., et al. “AsIf: Asset Interface Analysis of Industrial Automation Devices.” In: 50th Euromicro Conference on Software Engineering and Advanced Applications (SEAA24). submitted. 2024.
Uray, M., Giunti, B., Kerber, M., Huber, S., “Topological Data Analysis in Smart Manufacturing Processes
– A Survey on the State of the Art.” In: IEEE Access arXiv:2310.09319 (2023-10). submitted. url: http:
//arxiv.org/abs/2310.09319.
Zeng, S., Graf, F., Kwitt, R., Uray, M., “Neural Persistence Dynamics.” (Submitted to 38th Conference on Neural Infor-mation Processing Systems (NeurIPS 2024)). 2024.