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Kevin-Martin Aigner is a professor in the Department of Data Science at Friedrich-Alexander-Universität Erlangen-Nürnberg. His research focuses on optimization and uncertainty in data analysis. He is involved in various projects that aim to model and optimize energy systems at a regional level, emphasizing the coupling of different energy sectors including electricity, gas, heat, and transport. His work includes grant-funded initiatives that address mathematical modeling, simulation, and optimization based on complex data inputs and variable uncertainties. Aigner is also actively engaged in academic conferences and workshops, contributing to discussions on topics such as robust optimization and the integration of renewable energy sources into existing grids. He has published research findings in reputed journals and has been recognized for his contributions to the field through awards and invitations to speak at major academic events.
Friedrich-Alexander-Universität Erlangen-Nürnberg • Erlangen, Germany
Leading the research group in optimization and uncertainty in data analysis.
Department of Computer Science. Program involves a Qualification Assessment Process (QAP).