Department: Centre Management

Philipp Eisele

Philipp brings deep expertise in cognitive production systems, advanced manufacturing technologies and AI-supported industrial automation. His research focuses on designing intelligent system architectures that make production processes more adaptive, precise and resource-efficient. Philipp integrates methods from machine learning, sensor technology and mechanical engineering to create solutions that support flexible, human-centred and high-performance manufacturing. He holds a PhD in Mechanical Engineering from TU …

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Amer Kajmaković

Amer Kajmakovic brings over a decade of expertise in industrial digitalization, with a strong focus on cognitive products that enhance safety, system availability, and sustainability. His research drives innovation in functional and industrial safety, as well as in the enhancement of manufacturing processes, developing forward-looking solutions for digitalization and retrofitting. He holds a Ph.D. from …

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Ouijdane Guiza

Ouijdane Guiza focuses on advancing flexibility and efficiency in production through intelligent and adaptive manufacturing systems. Her research spans cognitive and cyber-physical assembly systems, human–robot collaboration and smart production orchestration. A recent research focus of hers is software modernization, investigating how AI can support industry in managing and modernizing legacy systems. Her goal is to improve …

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Belgin Mutlu

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 …

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Michael Haslgrübler

Michael Haslgrübler pairs expertise in human-machine interaction, Internet of Things (IoT), sensor-based technologies, and machine learning. His research focuses on perception technologies for humans and machines in industrial settings and beyond. This is achieved through the use of wearable and infrastructure sensors, advanced machine learning methods often running on embedded systems, and real-time system actuation. …

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Alois Ferscha

Univ.-Prof. Dr. Alois Ferscha is university professor of Computer Science, head of the Institute of Pervasive Computing (JKU Linz) and the research studio “Pervasive Computing Applications” (RSA FG). From 2015-2017 he was dean of the Faculty of Engineering and Natural Sciences at JKU Linz. He holds the Heinz Zemanek Award (1992), the Cross Border Award …

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