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M.Sc. Daniela Bernhard is a researcher in the Department of Data Science at Friedrich-Alexander-Universität Erlangen-Nürnberg, focusing on optimization, uncertainty, and data analysis. Her work is part of the 'Robust optimization gas networks' project, which is funded by Deutsche Forschungsgemeinschaft (DFG) and aims at mathematical modeling, simulation, and optimization in the context of gas networks. Daniela's research interests include robust chance-constrained optimization and developing gradient-based methods for joint chance-constrained optimization. She has contributed to significant publications in the field, addressing complex optimization problems involving mixed-integer programming and statistical methodologies.
Department of Computer Science. Program involves a Qualification Assessment Process (QAP).