Designation: Researcher
Matej Vukovic
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
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 …
Behrooz Azadi
Behrooz Azadi specializes in sensor data analytics, machine learning, anomaly detection, and explainable AI (XAI), with a strong emphasis on sustainable and industrial AI solutions. He has led EU-funded projects and developed #livetoski – a mobile app using IMU sensor signals to analyze alpine skiing performance. He holds a PhD in Computer Science (with distinction) from Johannes Kepler University Linz …
Georgios Sopidis
Georgios Sopidis specializes in machine learning, computer vision, sensor fusion, and human-robot interaction (HRI), with a strong focus on developing AI-driven perception solutions for industrial settings. His work bridges the gap between human and machine perception to enable smarter, more collaborative production systems. He holds a PhD in Computer Science from Johannes Kepler University Linz, where …