Projects per year
Personal profile
Research interests
Data Science, Machine Learning and Applications, Natural Language Processing, Medical Image Processing, Bioinformatics, Stochastic Modelling and Mathematical Statistics, Random Number Generation, Scientic and High Performance Computing, Metric Number Theory
Teaching interests
Lectures (mostly in English): in the specialization module Data Science and Analytics (Feature Generation, Machine Learning, Deep Learning), Mathematical Modelling, Applied Statistics, Selected Topics in Mathematics (Probability Calculus), Pattern Recognition, Cryptology.
Supervision of about 5 master theses each year, 10 theses have so far been supported by the Austrian Marshall Plan Foundation and students were funded to work at various Universities in the U.S. (Virginia Tech, Ohio State University, City University of New York, University of Massachusetts Amherst).
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):
Education/Academic qualification
Mathematics, Habilitation, University of Salzburg
Award Date: 4 Jul 2003
Mathematics, PhD., University of Salzburg
Award Date: 10 Jul 1998
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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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REVELATION: Artificial Intelligence driven Biomedical Imaging Innovation
Oostingh, G. J. (PI), Gadermayr, M. (CoI), Wegenkittl, S. (CoI), Kwitt, R. (CoI), Uhl, A. (CoPI), Wessler, S. (CoI), Meisner-Kober, N. (CoI), Schuster, A. (CoI) & Wurzer, T. (CoI)
1/03/25 → 29/02/28
Project: Funded research
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AIBIA: Research and Transfer Junior Lab on AI in Biomedical Image Analysis
Wegenkittl, S. (CoPI), Gadermayr, M. (PI) & Löwenstein, K. (CoI)
1/04/23 → 31/03/26
Project: Funded research
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DaSuMa: Data-Driven Supply Chain Management
Ferner, C. (CoI), Kaltner-Pomwenger, W. (CoPI), Portenkirchner, R. (CoI), Uray, M. (CoI) & Wegenkittl, S. (PI)
1/03/22 → 31/12/23
Project: Funded research
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IDA: Intelligent Data Analytics Lab
Wegenkittl, S. (PI), Kozlica, R. (CoI) & Ferner, C. (CoI)
1/06/20 → 30/09/23
Project: Funded research
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DIDAV: Deep Image & Data Analysis Verlängerung
Wegenkittl, S. (PI) & Kaltner-Pomwenger, W. (CoI)
1/10/17 → 31/03/19
Project: Contract research
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A Modular Test Bed for Reinforcement Learning Incorporation into Industrial Applications
Kozlica, R., Schäfer, G., Hirländer, S. & Wegenkittl, S., 2024, Data Science - Analytics and Applications.Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
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An Architecture for Deploying Reinforcement Learning in Industrial Environments
Schäfer, G., Kozlica, R., Wegenkittl, S. & Huber, S., Feb 2023, Computer Aided Systems Theory – EUROCAST 2022: 18th International Conference, Las Palmas de Gran Canaria, Spain, February 20–25, 2022, Revised Selected Papers. Springer Nature, Vol. 13789 LNCS. 8 p. (Lecture Notes in Computer Science).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Deep Q-Learning versus Proximal Policy Optimization: Performance Comparison in a Material Sorting Task
Kozlica, R., Wegenkittl, S. & Hirander, S., 2023, 2023 IEEE 32nd International Symposium on Industrial Electronics (ISIE). Institute of Electrical and Electronics Engineers Inc.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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An Architecture for Deploying Reinforcement Learning in Industrial Environments
Schäfer, G., Kozlica, R., Wegenkittl, S. & Huber, S., 1 Feb 2022, Proceedings of the 18th International Conference on Computer Aided Systems Theory (EUROCAST 2022). Las Palmas de Gran Canaria, SpainResearch output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Benefits from Variational Regularization in Language Models
Ferner, C. & Wegenkittl, S., 9 Jun 2022, In: Mach. Learn. Knowl. Extr.. 4, 2, p. 542-555 14 p.Research output: Contribution to journal › Article › peer-review
Open Access
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