Our PhD researcher Amel Jelidi recently traveled to São Paulo, Brazil to present her latest research results at the International Symposium on Software Reliability Engineering (ISSRE) 2025. In addition to presenting her own work, Amel also had the honor of serving as a Session Chair for one of the conference sessions. Her presentation of the …
On October 31st, 2025, we proudly launched the COEVOLVE project: Co-Evolution of Software and Hardware – a four-year research initiative that aims to explore how Artificial Intelligence can revolutionize the development of automotive embedded systems. The kick-off meeting, held in Graz, Austria, brought together a powerhouse consortium of academic and industrial partners, each a leader …
COEVOLVE Project Kick Off: Shaping the Future of AI-Driven Automotive Embedded Systems Read More »
We’re proud to share that our Area Analytics Researcher, Dr. Matej Vukovic, was invited to participate in a panel discussion on “Trustworthy AI & Data Science” at the 12th IEEE International Conference on Data Science and Advanced Analytics (DSAA), held from 9–12 October 2025 in Birmingham, UK. The discussion brought together leading experts to explore …
Panel Discussion: Discussing the Future of Trustworthy AI at IEEE DSAA 2025 Read More »
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 »
