Personen

AITB-M | 2. SS 2026 | Applied Statistics | IL
AITB-M | 2. SS 2026 | Machine Learning | IL
AITB-M | 2. SS 2026 | Projekt 1 | PT
AITB-M | 2. SS 2026 | Time Series Prediction & Business Forecasting | IL
ITS-B | 4. SS 2026 | Daten und Statistik | IL
RAT-B | 2. SS 2026 | Datenverarbeitung und Telekommunikation in der Medizin | VO

• 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

• 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