Research

Forecasting and optimization under constraints and uncertainty for sustainable industrial energy systems

Principal Investigator. Contract research project in collaboration with Ing. Punzenberger COPA-DATA GmbH. Developing advanced RL and optimization methods for managing industrial energy systems under uncertainty.

Intelligent Novel Support for Personalized Instruction and Robust Evaluation in STEM Lessons

Principal Investigator (PLUS partner). Application-oriented basic research project funded by Land Salzburg (WISS2030) in collaboration with PH Salzburg. Focusing on AI-driven personalized learning and evaluation in primary education.

Deep Reinforcement Learning for Large and Complex Systems

International collaboration with University of Malta and CERN. Focusing on solving complex control problems for the Large Hadron Collider (LHC). Methodologies are transferable to autonomous driving and manufacturing.

Reinforcement Learning in Piezo Drivers

Research collaboration with W&H Dentalwerk Bürmoos GmbH. Developing adaptive controllers for piezoelectric drivers using RL to maintain cutting efficiency while minimizing heat generation.

Data Science STIWA II

Research project with STIWA Group. Focusing on assembly line optimization using Hierarchical Reinforcement Learning to manage complex, multi-stage decisions in high-speed manufacturing.

Reinforcement Learning in Nautical Robotics

Expansion into maritime systems. Transferring control theory expertise to autonomous boats and submersibles, leveraging similarities between fluid dynamics and beam physics.