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.
Master Student (DEOP 2.5)
Master student working on dynamic energy optimization research.
Master Student
Master student involved in the Danieli X research collaboration.
Predoc-Position
Researcher focusing on multi-agent reinforcement learning. In co-operation with Salzburg Research.
Master Student
Master student contributing to the team's research in reinforcement learning and smart analytics.
Exciting News: We're thrilled to announce that the Bootcamp will once again take place in Salzburg from September 17th to 19th this year!
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 will open in early 2025. Follow our updates for more information.
Selected recent works from our team (2024-2025):
IPAC'25 (Scheduled 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)
IPAC'24
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