News (en)

We’re proud to announce that our research was presented at the 12th IEEE International Conference on Data Science and Advanced Analytics (DSAA) in Birmingham, UK, a leading global forum for interdisciplinary data science research and innovation. Our researcher Dr. Matej Vukovic showcased the paper titled:“Leveraging Causal Discovery to Tackle Complexity in Model-based Anomaly Detection: Case-study …

Paper Presentation: Advancing Transparency and Interpretability in Industrial AI Read More »

Modern automation systems are increasingly complex and require reliable solutions for installation, commissioning, and maintenance. Safety and efficiency are critical factors in these processes. Pro²Future has developed a digital twin for failsafe components using Siemens’ SIMIT tool and the S7-PLCSIM Advanced virtual controller. The virtual model replicates the behaviour of safety-critical devices and supports system …

Success Story: Optimizing Automation with Digital Twins for Failsafe Components Read More »

On September 3, 2025, the third meeting of Pro²Future’s International Scientific Advisory Board (ISAB) took place at our headquarter in Linz. We were delighted to welcome several members of this internationally renowned committee in person, while others joined online. To open the session, our Scientific Director Prof. Alois Ferscha reflected on eight years of Pro²Future …

3rd Meeting of the International Scientific Advisory Board, September 3, 2025 Read More »

The paper “Visual Exploration and Analysis of Simulation and Testing Data in Motor Engineering”, published in IEEE Computer Graphics and Applications (Vol. 44, Issue 4, 2024), has received the Best Paper Award – Honorable Mention, granted by Fraunhofer IGD and the Visual Computing Groups of TU Darmstadt. The publication introduces innovative visualization techniques that enable …

Best Paper Award – Honorable Mentions for Pro²Future Research Read More »

On 18 July 2025, our colleague Matej Vuković successfully defended his dissertation and was awarded a pass with distinction at the Institute of Human-Centred Computing, Graz University of Technology. The dissertation was supervised by Univ.-Prof. Dipl.-Inf. Dr. Stefanie Lindstaedt and Univ.-Prof. Dr. Stefan Thalmann (Business Analytics and Data Science-Center, University of Graz). The chairman of …

Rigorosum Dr. Matej Vuković – Causal Discovery in Industrial Data Analysis Read More »

In complex industrial environments such as steel production, many key processes take place deep inside large-scale systems, far from direct measurement. Understanding and optimizing these systems is crucial for operational stability, energy efficiency and competitiveness. This was the starting point for the research project PreMoBAF – Predicting and Monitoring the Behavior of Blast Furnace and …

Making hidden industrial processes transparent – with Explainable AI! Read More »

The paper “Prospects of Use of Hydrocarbon Waste as a Feedstock for the Production of Plastic Lubricants”, authored by Alona Tulska, in collaboration with other international researchers and Pro²Future Researcher Markus Brillinger, received the Bronze Best Industrial Application Paper Award at the International Conference Innovation in Engineering (ICIE) in Prague. The study explores the potential …

Bronze Award at ICIE International Conference Innovation in Engineering Read More »

Plastic waste classification plays a crucial role in enabling a circular economy. However, conventional solutions often depend on centralized data, posing significant challenges in terms of scalability and data privacy. Addressing this issue, researchers at Pro²Future have developed a federated continual learning (FCL) approach that enables collaborative AI training without the need to share raw …

Advancing Plastic Waste Sorting through Federated AI Research Read More »

In a recent interview with Deutschlandfunk, aired as part of the Computer and Communication segment, Dr. Michael Krisper, Senior Researcher at Pro²Future, discusses the challenges and opportunities of local AI processing on resource-constrained devices. “Our goal is to make AI functions on small devices more reliable, autonomous, and secure, despite limited resources,” Krisper explains in …

Edge AI: Why the future of Artificial Intelligence lies directly on the chip Read More »