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M.Sc. Arthur Miehlich is a researcher in the Department of Data Science at Friedrich-Alexander-Universität Erlangen-Nürnberg. He is part of the Professorship for Optimization, Uncertainty & Data Analysis, led by Prof. Dr. Liers. His research interests include data-driven methodologies in mathematical optimization, with a focus on explainability and uncertainty analysis. Miehlich contributes to various projects and publishes works aimed at enhancing the decision-making processes through advanced statistical and quantitative methods. He is actively involved in academic conferences, including the 38th Annual AAAI Conference on Artificial Intelligence, where he discusses frameworks for explainability in optimization frameworks. His commitment to research in data science is evident from his contributions to numerous publications that address crucial issues in optimizing data-driven models and providing insights into complex systems.
Friedrich-Alexander-Universität Erlangen-Nürnberg • Erlangen, Germany
Conducting research in data-driven mathematical optimization.
Department of Computer Science. Program involves a Qualification Assessment Process (QAP).