FH-Prof. Univ.- Doz. Mag. Dr.
Stefan Wegenkittl
Head of Degree Programme Applied Image and Signal Processing
Head of Degree Programme AI for Sustainable Technologies
Head of Academic Area Data Science & Analytics
Department Information Technologies and Digitalisation
Head of Degree Programme AI for Sustainable Technologies
Head of Academic Area Data Science & Analytics
Department Information Technologies and Digitalisation
Location: Campus Urstein
Room: Urstein - 430
Room: Urstein - 430
Teaching
AITB-M | 1. WS 2025 | Data Science & Artificial Intelligence | IL
AITB-M | 3. WS 2025 | Project 2 | PT
ITS-B | 1. WS 2025 | MINT Practice Lab 1 | UB
ITS-B | 3. WS 2025 | Probability Calculus | IL
Current Research Projects
- REVELATION: Artificial Intelligence driven Biomedical Imaging Innovation
Six PhD positions on AI-supported innovation in biomedical imaging started in March 2025 with a doc.funds.connect programme of the FWF at the Salzburg... 03/2025 - 02/2028 - AIBIA: Research and Transfer Junior Lab on AI in Biomedical Image Analysis
04/2023 - 03/2026
Current Publications
- A Modular Test Bed for Reinforcement Learning Incorporation into Industrial Applications
2024 - An Architecture for Deploying Reinforcement Learning in Industrial Environments
Industry 4.0 is driven by demands like shorter time-to-market, mass customization of products, and batch size one production. Reinforcement Learning (RL), a machine learning paradigm shown to possess...
2023 - Deep Q-Learning versus Proximal Policy Optimization: Performance Comparison in a Material Sorting Task
This paper presents a comparison between two well-known deep Reinforcement Learning (RL) algorithms: Deep Q-Learning (DQN) and Proximal Policy optimization (PPO) in a simulated production system. We...
2023
Awards
- Teaching Award, 2. Platz
21. Nov 2023