Smart Analytics & Reinforcement Learning – PLUS

The team Smart Analytics & Reinforcement Learning focuses on application-oriented basic research in the fields of machine learning, statistics and control theory. The applications cover a wide spectrum, both in the industrial and digital area, and enable new approaches to solutions for various current problems in process and decision optimisation.


Postdoc-Position: Simon Hirländer

S. HirländerDr. Simon Hirländer is leading the team „Smart Analytics & Reinforcement Learning“. He has several years of experience in research in the international environment of CERN, where he also obtained his PhD. In his recent work he was concentrating on the optimization of the performance of the CERN particle accelerator complex using machine-learning techniques, especially applied reinforcement learning.

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Predoc-Position: Raoul Kutil (AIDA-PATH)

R.H. KutilRaoul Kutil MSc completed his Bachelor’s and Master’s degree in mathematics at PLUS and worked out a prototype algorithm for a new method to calculate the niche overlap. He is working on time series analysis with the matrix profile.

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Predoc-Position: Sebastian Baron (i-Twin)

S. Baron

Sebastian Baron MSc studied economics at the Leopold-Franzens-University Innsbruck and subsequently obtained his Master’s degree in the field of data science at the Paris-Lodron-University Salzburg. In the context of the iTwin project, he researches interoperability concepts for data-driven digital twins in the manufacturing industry.

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Masterstudent: Josef Hettegger (VISTA)

Bild J. HetteggerJosef Hettegger studied Philosophy and Economics at Karl-Franzens-University Graz and is currently pursuing a Master’s degree in Data Science at PLUS. He is currently working on feature localization and classification in images.

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Masterstudent: Daniel Göller (KEDiff)

Bild D. GöllerDaniel Göller discovered his fascination for languages in his bachelor’s degree and it accompanied him from then on. Therefore, we are glad that he can contribute and expand this interest in natural language processing (NLP) to the KEDiff project while writing his master’s thesis in data science.

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Masterstudent: Andrea Friese (i-Twin)

Bild A. Friese

Andrea Friese studied Innovation Management in Munich and is currently completing her Master’s degree in Data Science. For her master’s thesis, she is involved in the i-Twin project in cooperation with Salzburg Research.

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Masterstudent: Sascha Schuster (KEDiff)

Foto_SchusterSascha Schuster completed his Bachlor’s degree in Psychology with a focus on Neuroscience at the PLUS. He currently pursues a Master’s degree in Data Science and is involved with the KEDiff project next to his Master’s thesis on the application of Reinforcement Learning in Medicine.

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