The doctoral research program Learning for Adaptive Optimization focuses on developing learning-based methods for adaptive optimization in dynamic, uncertain, and/or complex environments. The research targets solving various complex problems where conventional...
Prof. Dr. Barbara Koroušić Seljak
The research programme focuses on the development and application of machine learning and natural language processing methods for advanced data analysis in the field of nutritional science. The aim of the project is to develop innovative approaches for integrating,...
Prof. Dr. Gregor Papa
The PhD research investigates algorithmic frameworks for solving NP-hard routing and scheduling problems formulated as constrained combinatorial optimization problems. The problem classes considered are defined over discrete solution spaces with complex feasibility...
Dr. Gregor Kosec
Asst. Prof. Dr. Tome Eftimov
The programme “Trustworthy Benchmarking and Explainable Evaluation of Large Language Models Across Tasks and Prompting Regimes” addresses a central challenge in modern AI: how to evaluate large language models (LLMs) in a reliable, reproducible, and explainable manner...