Staff

AIHE-M | 1. WS 2026 | Foundations in Data Science & Machine Learning | IL
AITB-M | 1. WS 2026 | Data Science & Artificial Intelligence | IL
AITB-M | 3. WS 2026 | Project 2 | PT
ITS-B | 3. WS 2026 | Probability Calculus | IL
UNTB-B | 5. WS 2026 | Human-AI Interaction | IL

• 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
• DaSuMa: Data-Driven Supply Chain Management
  The supply chains in the pharmaceutical industry are facing increasing complexity due to the steadily rising product and market dynamics. This...
  03/2022 - 12/2023

• 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

• Teaching Award, 2. Platz
  21. Nov 2023