Projects per year
Personal profile
Research interests
Gradient-based Optimization, Polynomial Models, Mechatronics, Reinforcement Learning
Related documents
Education/Academic qualification
Information Technology & Systems Management, Master
2018 → 2020
Information Technology & Systems Management, Bachelor, Salzburg University of Applied Sciences GmbH
2015 → 2018
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 9 Industry, Innovation, and Infrastructure
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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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) & Langschwert, J. (CoI)
1/07/22 → 30/06/27
Project: Funded research
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IAI: Industrial Artificial Intelligence
Huber, S. (PI), Kaltner-Pomwenger, W. (CoPI), Schäfer, G. (CoI), Unger, H. (CoI) & Portenkirchner, R. (CoI)
1/09/23 → 30/11/24
Project: Funded research
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KI-Net: Building block for AI-based optimizations in industrial manufacturing
Huber, S. (PI), Unger, H. (CoI) & Schäfer, G. (CoI)
1/01/20 → 30/06/22
Project: Funded research
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AI4Green: Harnessing the Ecological Potential of AI in Industry
Höfig, K., Döller, M., Waheed, F., Riss, F., Scholz, M., Bauer, J., Schäfer, G., Unger, H., Huber, S., Heinzl, B., Hellwig, M. & Finck, S., 1 Feb 2026, Computer Aided Systems Theory – EUROCAST 2026 – Extended Abstracts. Vol. 20.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Chebyshev Policies and the Mountain Car Problem: Reinforcement Learning for Low-dimensional Control Tasks
Huber, S., Unger, H., Schäfer, G. & Rehrl, J., Jul 2026.Research output: Contribution to conference › Paper
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Chebyshev Policies and the Mountain Car Problem: Reinforcement Learning for Low-Dimensional Control Tasks
Huber, S., Unger, H., Schäfer, G. & Rehrl, J., 2026, ICML 2026.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Reconstructing OPC UA Address Spaces from Time-Series Databases
Lürzer, L., Unger, H. & Huber, S., Aug 2026.Research output: Contribution to conference › Paper
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AI4Green: A Framework for AI-based Resource Optimizations for Reliable Applications
Höfig, K., Döller, M., Waheed, F., Riß, F., Scholz, M., Bauer, J., Schäfer, G., Unger, H., Huber, S., Heinzl, B., Hellwig, M. & Finck, S., 1 Sept 2025, 9th International Symposium on Model-Based Safety Assessment (IMBSA 2025). Athens, GreeceResearch output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review