Bojana Rosic
Scientific Board Member at Fraunhofer Innovation Platform For Advanced Manufacturing At The University Of Twente
Based in Enschede, Netherlands
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Seniority
C-Team
Department
Science
Location
Enschede
Industry
Research Services
Company size
27
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b•••••••@fip.utwente.nl
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Background
About Bojana Rosic
I am the head of the Applied Mechanics & Data Analysis Group at the Faculty of Engineering Technology, University of Twente, the Netherlands. My research focuses on the interplay between nonlinear mechanics and structural dynamics modeling, combined with the development of uncertainty quantification and machine learning techniques. Specifically, I work on predictive modeling of systems, processes, and materials, integrating them with measurement data through Digital Twin and AI approaches. My interests include stochastic modeling, uncertainty quantification, Bayesian learning, model predictive control, reinforcement learning, and generative design, with a particular emphasis on the control and optimization of complex engineering systems.
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