Prof. Dr. Maximilian Merkert

Maximilian Merkert
Prof. Dr. Maximilian Merkert
Universitätsplatz 2, Room 607
+49 531 391-7592

Office hours by appointment

News (Selection)

Inaugural Lecture by Maximilian Merkert

On September 19, 2023, Maximilian Merkert's inaugural lecture will take place in the auditorium at Haus der Wissenschaft.

Article Published

Our paper A. Bärmann, P. Gemander, A. Martin, M. Merkert: "On Recognizing Staircase Compatibility" has been published in the journal "Journal of Optimization Theory and Applications".

Article Published

Our paper A. Bärmann, P. Gemander, M. Merkert, A.-K. Wiertz, F. Zaragoza Martínez: "Algorithms for the clique problem with multiple-choice constraints under a series–parallel dependency graph" has been published in the journal "Discrete Applied Mathematics".

More News from the Institute

 

Research Interests

  • Mixed-Integer Nonlinear Programming
  • Network Optimization
  • Polyhedral Combinatorics
  • Bilevel Optimization & Game Theory
  • Applications from the areas of mobility, logistics and medicine

Short CV

since Oct. 2021 TU Braunschweig Junior Professor for Optimization and Uncertainty in Mobility at the Institute for Mathematical Optimization
Aug. 2017 - Sep. 2021 Otto von Guericke University Magdeburg Postdoc in the MathOpt research group
May 2012 - June 2017 Friedrich-Alexander-Universität Erlangen-Nürnberg PhD student and research assistant in the Economics, Discrete Optimization, and Mathematics (EDOM) research group
March 2010 - June 2010 University of Auckland, New Zealand Exchange semester, supported by the German Academic Exchange Service (DAAD)
Apr. 2007 - Dec. 2011 TU Kaiserslautern Diploma in Mathematics with minor Computer Science within the study program Mathematics International

Current Teaching

Lecture: Mixed-Integer Nonlinear Programming (MINLP) (Winter 2023/24)

The lectures "Mixed-Integer Nonlinear Programming (MINLP)" is for Master's students of programs in Mathematics as well as Mathematics in Finance and Industry (credit points: 5, credit hours: 2+1). The course will be held by Prof. Dr. Maximilian Merkert and Dr.-Ing. Florian Bürgel in the winter term 2023/24 in German language.

Computerlab: How Computers beat us at Hex (Winter 2023/24)

The course "Computerlab: How Computers beat us at Hex" is for students of the programs in Data Science, Mathematics as well as Mathematics in Finance and Industry (5 credit points, 4+2 credit hours). The course will be held in the winter term 2023/24 by Prof. Maximilian Merkert, Dr. Dominik H. Cebulla, Eva Ley in German or English language.

Seminar: How Computers beat us at Hex (Winter 2023/24)

The course "Seminar: How Computers beat us at Hex" is for students of the programs in Data Science, Mathematics as well as Mathematics in Finance and Industry (4 credit points, 2 credit hours). The course will be held in the winter term 2023/24 by Prof. Maximilian Merkert, Dr. Dominik H. Cebulla, Eva Ley in German or English language.

Seminar: Bachelor/Master Seminar Optimization (Winter 2023/24)

The courses "Bachelor Seminar Optimization" and "Master Seminar Optimization" on the topic of mathematical optimization (discrete and/or continuous) are for students of the programs in Data Science, Mathematics as well as Mathematics in Finance and Industry (credit points: 4, credit hours: 2). The courses are offered in the winter term 2023/24 by Prof. Dr. Christian Kirches, Prof. Dr. Maximilian Merkert, and Prof. Dr. Sebastian Stiller. Presentations can be held in English or German language.

Previous Teaching

Lecture: Introduction to Mathematical Optimization (Nonlinear Optimization) (Summer 2023)

The lecture "Introduction to Mathematical Optimization" (Nonlinear Optimization) is for Bachelor's students of programs in Physics, Mathematics as well as Mathematics in Finance and Industry (credit points: 10, credit hours: 4+2). The course will be held in the summer term 2023 by Prof. Dr. Maximilian Merkert and Eva Ley in German language.

Seminar: Bachelor/Master Seminar Optimization (Summer 2023)

The courses "Bachelor Seminar Optimization" and "Master Seminar Optimization" on the topic of mathematical optimization (discrete and/or continuous) are for students of the programs in Data Science, Mathematics as well as Mathematics in Finance and Industry (credit points: 4, credit hours: 2). The courses are offered in the summer term 2023 by Prof. Dr. Christian Kirches, Prof. Dr. Maximilian Merkert, and Prof. Dr. Sebastian Stiller. Presentations can be held in English or German language.

Seminar: Bachelor/Master Seminar Optimization (Winter 2022/23)

The courses "Bachelor Seminar Optimization" and "Master Seminar Optimization" on the topic of mathematical optimization (discrete and/or continuous) are for students of programs in Data Science, Mathematics as well as Mathematics in Finance and Industry (credit points: 4, credit hours: 2). The courses are offered in the winter term 2022/23 by Prof. Dr. Christian Kirches, Prof. Dr. Maximilian Merkert, and Prof. Dr. Sebastian Stiller. Presentations can be held in English or German language.

Lecture: Multi-Level Optimization (Summer 2022)

The course "Multi-Level Optimization" is for Bachelor's and Master's students of programs in Data Science, Mathematics as well as Mathematics in Finance and Industry (credit points: 7, credit hours: 3+1). The course will be held in the summer term 2022 by Prof. Dr. Maximilian Merkert as a so-called Reading Course in English language.

Seminar: Bachelor/Master Seminar Optimization (Summer 2022)

The courses "Bachelor Seminar Optimization" and "Master Seminar Optimization" on the topic of mathematical optimization (discrete and/or continuous) are for students of the programs in Data Science, Mathematics as well as Mathematics in Finance and Industry (credit points: 4, credit hours: 2). The courses are offered in the summer term 2022 by Prof. Dr. Christian Kirches, Prof. Dr. Maximilian Merkert, and Prof. Dr. Sebastian Stiller. Presentations can be held in English or German language.

Lecture: Mixed-Integer Nonlinear Programming (MINLP) (Winter 2021/22)

The lectures "Mixed-Integer Nonlinear Programming (MINLP)" will be held by Prof. Dr. Maximilian Merkert in the winter term 2021/22.

Seminar: Optimization (Winter 2021/22)

In winter semester 2021/22, both a Bachelor seminar and Master seminar Optimization on the topic of stochastic optimization is offered by Prof. Dr. Christian Kirches, Prof. Dr. Maximilian Merkert, Prof. Dr. Nicole Mücke, and Prof. Dr. Sebastian Stiller. Presentations can be held in English or German language.

A list of previous courses at OVGU Magdeburg is available here.

 

Publications

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