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Bojana Rosic is a Professor in the Faculty of Engineering Technology at the University of Twente, specializing in Applied Mechanics and Data Analysis. Her research focuses on various areas including uncertainty quantification, data assimilation, and statistical inference. She also investigates multiscale modeling and machine learning techniques for data analysis. She contributes to the scientific advisory board of TU Berlin and is actively involved in advancing methodologies in material systems through stochastic description and reduced modeling efforts. Rosic's extensive experience and knowledge in these fields make her a key figure in enhancing the understanding and application of advanced engineering principles in both academic and practical settings.
Includes specializations in Financial Engineering & Management, Healthcare Technology & Management, and Production & Logistics Management.