Martin Eisenberg

Martin Eisenberg received a bachelor’s degree in Business Informatics and a master’s degree in Computer Science from JKU Linz. He has several years of experience in designing and implementing web applications using a range of technologies. From 2019 to 2024, he worked in the Christian Doppler Laboratory for Model-Integrated Smart Production (CDL MINT), focusing on research in model-driven technologies and AI applications. His research interests include applied machine learning and intelligent software systems, with recent work on cyber-physical systems and digital twins aimed at advancing adaptive automation and decision-making.