Projects per year
Personal profile
Research interests
Gradient-based Optimization, Polynomial Models, Mechatronics, Reinforcement Learning
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):
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
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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)
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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Energy Optimized Piecewise Polynomial Approximation Utilizing Modern Machine Learning Optimizers
Unger, H. & Huber, S., 2025, AI4IP 2025.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Energy Optimized Piecewise Polynomial Approximation Utilizing Modern Machine Learning Optimizers
Unger, H. & Huber, S., 2025, LNCS Database and Expert Systems Applications: DEXA 2025 Proceedings.Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
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IT/OT Integration by Design
Schäfer, G., Waclawek, H., Riedmann, S., Binder, C., Neureiter, C. & Huber, S., 2024, INCOSE International Symposium: Special Issue: 34th Annual INCOSE International Symposium Hybrid Event Dublin Ireland July 2 – 6, 2024. 1 ed. Dublin, Ireland, Vol. 34. p. 337-352 15 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access -
Machine Learning Optimized Orthogonal Basis Piecewise Polynomial Approximation
Waclawek, H. & Huber, S., 2024, Learning and Intelligent Optimization: 18th International Conference, LION 18, Ischia Island, Italy, June 9–13, 2024, Revised Selected Papers. 1 ed. Springer Nature Switzerland AG, Vol. LNCS, volume 14990. 15 p. (Lecture Notes in Computer Science; vol. 14990).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Ck -Continuous Spline Approximation with TensorFlow Gradient Descent Optimizers
Huber, S. & Waclawek, H., 2023, Computer Aided Systems Theory – EUROCAST 2022: 18th International Conference, Las Palmas de Gran Canaria, Spain, February 20–25, 2022, Revised Selected Papers. Springer Science and Business Media Deutschland GmbH, Vol. 13789 LNCS. 8 p. (Lecture Notes in Computer Science).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review