Prof. Dr.-Ing. Thorsten Schöler

Profilbild von Prof. Dr.-Ing. Hon. Dr. of ONPU Thorsten Schöler

Room

J 4.03

Office Hours

by individual arrangement

Areas of Expertise

Artificial Intelligence and Decision-Making

  • Neuro-symbolic AI and Consistent Decision-Making Logic
  • Reinforcement Learning and Planning in Uncertain Environments
  • AI-Based Forecasting and Error Detection in Industrial Applications
  • Application of AI in Medical Diagnostic Systems (e.g., Oncology, Affective Computing)

Agent-Based Modeling and Simulation (ABMS), Cyber-Physical Systems

  • Development of Decentralized, Adaptive Multi-Agent Systems (MAS)
  • Integration of geographic and physical data into simulations
  • Use of digital twins to optimize and validate decision-making strategies
  • Applications in industrial processes and autonomous systems (e.g., AGVs, production planning)

Data science and industrial applications of innovative software systems

  • Data stream management and real-time data processing
  • Development of distributed and knowledge-based software systems
  • Research and development in collaboration with industry, with a focus on digital innovation
  • Interdisciplinary collaboration with medical institutions (e.g., Augsburg University Hospital)

Memberships