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EPISODE · Jul 7, 2022 · 1H 18M

Subject to: Martin Schmidt

from Subject to · host Anand Subramanian

Martin Schmidt is full professor for "Nonlinear Optimization" at Trier University since 2019. He studied Mathematics and Computer Science at the Leibniz Universität Hannover and received his PhD in 2013 in the area of algorithmic optimization. From 2014 to 2018 he was junior professor for the optimization of energy systems at the Friedrich-Alexander-Universität Erlangen-Nürnberg and the Energy Campus Nürnberg. His research interests are mixed-integer nonlinear and bilevel optimization as well as general equilibrium problems. He develops novel algorithms for solving these problems for real-world and large-scale instances, mainly from the energy sector. Martin Schmidt is editorial board member of the Journal of Optimization Theory and Applications, Optimization Letters, EURO Journal on Computational Optimization, OR Spectrum, and is technical editor for Mathematical Programming Computation. He wrote more than 85 articles that have been published in prestigious journals of our field including Mathematical Programming (A, B, and C), SIAM Journal on Optimization, Operations Research, or INFORMS Journal on Computing. Moreover, together with colleagues, he was awarded the Marguerite Frank Award for the best EJCO paper in 2021, the MMOR Best Paper Award 2021, and the Howard Rosenbrock Prize 2020 for the best paper published in the journal "Optimization and Engineering" in the year 2020, and the EURO Excellence in Practice Award in 2016. Besides these scientific aspects, he is a passionate baker and photographer.

Episode metadata supplied by the publisher feed · Published Jul 7, 2022

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Subject to: Martin Schmidt

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