Exploring cutting-edge AI applications from theoretical research to industry solutions at PLUS University Salzburg.
Our team drives innovation through funded research projects and fundamental studies in:
Intelligent Novel Support for Personalised Instruction and Robust Evaluation in STEM
A research cooperation with Salzburg University of Teacher Education. Developing AI support for personalized STEM education.
WISS2030 FundedForecasting and Optimisation for Sustainable Industrial Energy Systems
Research cooperation with COPA-DATA GmbH to optimize industrial energy usage under constraints and uncertainty.
Industry PartnerCollaborations with CERN, GSI, and others to apply Reinforcement Learning for the control and optimization of particle accelerators.
CERN / GSIDeveloping novel approaches for analyzing complex temporal data patterns and trends across multiple variables.
Applying probabilistic modeling and Bayesian inference to handle uncertainty and incorporate prior knowledge.
Creating synergistic systems that combine human expertise with artificial intelligence capabilities.
Meet the researchers and academics driving innovation in reinforcement learning:
Team Lead, Reinforcement Learning and Smart Analytics
Leading the SARL team's research initiatives in reinforcement learning applications and interdisciplinary AI projects.
PhD Student
Multi-Agent Reinforcement Learning for Resource Allocation in Wireless Network Communication.
PhD Student
FOCUS: Forecasting and optimization under constraints and uncertainty for sustainable industrial energy systems.
PhD Student
Contactless Monitoring Beyond Ballistocardiography.
PhD Student
Hierarchical reinforcement learning in assembly line optimization.
PhD Student
Improving Trajectory Tracking by Augmenting States with Future Targets.
PhD Student
INSPIRE: Intelligent Novel Support for Personalized Instruction and Robust Evaluation in STEM.
Master Student
Causal GP-MPC: Where Structure, Safety, and Online Learning Meet.
Master Student
Robust Real-Time Optimization of SIS18 Injection using Gaussian Process MPC.
Master Student
Online Parameter Identification via RL Integrated with Model Predictive Control.
Master Student
Adaptive PID Tuning via Meta-Reinforcement Learning.
Master Student
Regelungsoptimierung von Piezoantrieben.
The 3rd Reinforcement Learning Bootcamp will take place at PLUS University Salzburg in September 2026!
The SARL team is organizing an intensive bootcamp focused on Reinforcement Learning, designed for students, researchers, and industry professionals interested in learning and applying RL techniques.
Note: Registration details coming soon. Follow our updates for more information.
Selected recent works from our team (2024-2026):
IPAC'26 (2026)
IPAC'26 (2026)
IPAC'26 (2026)
IPAC'26 (2026)
IPAC'25 (2025)
Machine Learning and Knowledge Discovery in Databases (2024)
Machine Learning and Knowledge Discovery in Databases (2024)
Machine Learning and Knowledge Discovery in Databases (2024)
Email: simon.hirlaender@plus.ac.at
Team Page: SARL Team at PLUS
Department: Department of Artificial Intelligence and Human Interfaces
Faculty: Faculty of Digital and Analytical Sciences
University: PLUS University Salzburg, Austria
Address:
IDA Lab Salzburg
Fachbereich Artificial Intelligence & Human Interfaces (AIHI)
Fakultät Digital & Analytical Sciences (DAS)
Paris Lodron Universität Salzburg (PLUS)
Jakob-Haringer-Straße 6 | Techno 6 | 5020 Salzburg | Austria
IDA Lab Salzburg (SARL Team)
Jakob-Haringer-Straße 6 | Techno 6 | 5020 Salzburg | Austria