Prof. Dr. Maximilian Merkert

Maximilian Merkert
Prof. Dr. Maximilian Merkert
Universitätsplatz 2, Room 607

Office hours by appointment


News (Selection)

Article Published

Our paper M. Merkert, G. Orlinskaya, D. Weninger: "An exact projection-based algorithm for bilevel mixed-integer problems with nonlinearities" has been published in "Journal of Global Optimization".

Article Published

Our paper S. Sager, F. Bernhardt, F. Kehrle, M. Merkert, A. Potschka, B. Meder, H. Katus, E. Scholz: "Expert-enhanced machine learning for cardiac arrhythmia classification" has been published in the journal "PLOS ONE".

Interview with Maximilian Merkert

The TU Magazin has published an interview with Maximilian Merkert in which he talks about his start at TU Braunschweig and his research topics.

Article Published

Our paper D. D. Le, M. Merkert, S. Sorgatz, M. Hahn, S. Sager: "Autonomous traffic at intersections: An optimization-based analysis of possible time, energy, and CO2 savings" has been published in the journal "Networks".

New Professor Joins the Institute for Mathematical Optimization

Professor Maximilian Merkert joins the Institute for Mathematical Optimization. Welcome!

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 Universtity Magdeburg Postdoc in the MathOpt research group
May 2012 - June 2017 Friedrich-Alexander-Universität Erlangen-Nürnberg PhD student and research assistent 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 Comupter Science within the study program Mathematics International

Current Teaching

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 programs in Data Science and Mathematics (credit points: 8, credit hours: 4). 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.

Previous Teaching

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

Powered by bibtool and bibtex_js.

If the publications are not displayed, please reload this website with Ctrl + F5 or view the single publication page.