Univ.Prof. Bojana Rosic was appointed University Professor of Digital Engineering at the Vienna University of Technology effective March 1, 2026. She is affiliated with the Institute of Engineering Design and Product Development (E307) within the Faculty of Mechanical and Industrial Engineering.

CV: Bojana Rosić is from Serbia and studied mechanical engineering with a focus on applied mechanics and automatic control at the University of Kragujevac (Serbia). As her research interests shifted toward the combination of computer science and mechanical engineering during her doctoral studies, she completed a dual doctoral program in Applied Mathematics at the Technical University of Braunschweig and the University of Kragujevac, which she completed in 2012 summa cum laude—as she had with all her previous degrees. Her dissertation is titled: "Variational formulations and functional approximation algorithms in stochastic plasticity of materials, opens an external URL in a new window” and was awarded the prize for the best doctoral thesis in Germany by the German Association for Computer-Aided Mechanics (GACM). Based on the results of her dissertation, she was also named a GAMM Junior Fellow, opens an external URL in a new window (for three years) by the German Association for Applied Mathematics and Mechanics (GAMM). After approximately seven years as a postdoc at the Institute for Scientific Computing at the Technical University of Braunschweig, she began in May 2019 as a full professor of Applied Mechanics and Data Analysis at the University of Twente (Netherlands), where she focused specifically on topics such as computational sciences in engineering.

Her scientific home is at the aforementioned institute in the Research Unit of Mechanical Engineering Informatics and Virtual Product Development (E307-04), where she addresses topics related to the interplay between nonlinear mechanics/structural dynamics and the development of machine learning techniques, with a focus on the predictive modeling of systems/processes/materials and their assimilation with measurement data (Digital Twin/AI). In particular, the focus is on the stochastic modeling of systems/processes/materials and their control (uncertainty quantification/Bayesian learning/model predictive control and reinforcement learning, generative design).

Publications by Bojana Rosić in the Scopus, opens an external URL in a new window database and in ReposiTUm.