Matej Vuković specializes in Causal AI, machine learning, and industrial data analytics, with a strong focus on data-driven solutions for manufacturing and production environments. His expertise includes causal discovery, predictive and analytical modeling, optimization, anomaly detection, explainable AI and deployment and productization of ML solutions – addressing some of the most complex challenges in modern industrial data …
Josef Suschnigg is specializing in visual analytics, industrial data science, condition monitoring and predictive maintenance. His work focuses on developing visual analytics solutions that support engineers in data-driven decision-making, with particular expertise in scalable condition monitoring systems for industrial applications. He holds a PhD in Computer Science from Graz University of Technology, with his dissertation focused on …
Tobias Schreck is a Professor with the Institute of Visual Computing (formerly Institute of Computer Graphics and Knowledge Visualization) and head of the Visual Analytics research group at the TU Graz. His research interests are in Visual Data Analysis and in applied 3D Object Retrieval. Research questions are how large collections of data, e.g., high-dimensional, …
Belgin Mutlu has a strong background in Machine Learning, Visual Data Science, Recommender Systems, and Causal Data Science. Building on this foundation, her research explores how humans interact with complex data, interpret, reason, and make decisions, and how AI-driven methods can provide meaningful, transparent support throughout this process. She works at the intersection of algorithmic …
