Daniel Djuric is a research associate at the Research Centre for Virtual Product Development (MIVP) at the Vienna University of Technology. He specialises in the application of machine learning and advanced simulation methods in virtual product development in mechanical engineering.

His academic career includes a degree in mechanical engineering at the Bonn-Rhein-Sieg University of Applied Sciences (H-BRS), which he completed with a bachelor's thesis at GKN Sinter Metals Components GmbH in Bonn. In this thesis in the field of additive manufacturing (SLM), he focused on the support structure optimisation of the tooth connection through parameter adjustments in Magics. He supplemented his studies with a master's thesis at the Fraunhofer Institute for High Frequency Physics and Radar Techniques (FHR), in which he developed a reflective-measuring radar system and analysed radar measurements, thereby acquiring in-depth expertise in measurement technology and design.

As a mechanical engineer at Frans Vermee GmbH, he managed the design, developed and optimised machines and systems and coordinated production processes. He gained extensive experience in construction design, FEM analyses and the implementation of digital development processes. Further training in Python, machine learning and deep learning complements his technical profile by integrating data-based approaches for modern applications.

With his sound academic training and wide-ranging experience, Daniel is actively shaping the future of virtual product development.

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