Martin Schmidt

Trier University, Germany

My research focuses on bilevel, mixed-integer, nonlinear, robust, equilibrium, and network optimization, with applications in energy systems and markets as well as machine learning and AI.

Optimization diagram with feasible region and objective directions

Core Research Topics

Bilevel Optimization

Mathematical models in which one optimization problem is constrained by the solution of another.

Mixed-Integer & Nonlinear Optimization

Theory and algorithms for optimization problems that combine discrete decisions with nonlinear constraints and objectives.

Robust Optimization & Uncertainty

Models and algorithms for optimization under uncertain parameters, including robust and decision-dependent formulations.

Equilibrium Problems & Games

Models and algorithms for interacting decision-makers, complementarity systems, and generalized Nash equilibrium problems.

Network Optimization

Optimization models and algorithms for flows and decisions on energy and infrastructure networks.

Selected Research

Representative work across publications, research tools, and collaborative projects.

Benchmark Library

BOBILib

An open library of bilevel optimization benchmark instances in a standardized format.

BOBILib website

Book

Linear and Mixed-Integer Bilevel Optimization: Theory and Algorithms

Yasmine Beck, Ivana Ljubić, Martin Schmidt

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Current Project

A3G: Aggregative Mixed-Integer Equilibrium Problems: Existence, Approximation, and Algorithms

Study of the existence, approximation, and computation of equilibria in aggregative games with discrete strategy spaces.

View A3G project

Journal Article

There's No Free Lunch: On the Hardness of Choosing a Correct Big-M in Bilevel Optimization

Thomas Kleinert, Martine Labbé, Fränk Plein, Martin Schmidt

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Research Group

A team of postdoctoral and doctoral researchers in mathematical optimization, supported by the secretary’s office.

Meet the group

Research staff

  • Aloïs Duguet

    Aloïs Duguet

    Postdoctoral Researcher

    Approximation of nonlinear functions by piecewise linear functions · Nash equilibria in mixed-integer programming games · branching methods

  • Andreas Horländer

    Andreas Horländer

    Postdoctoral Researcher

    Bilevel optimization · mixed-integer optimization · nonlinear optimization

  • Simon Stevens

    Simon Stevens

    Doctoral Researcher

    Bilevel optimization · optimization under decision-dependent uncertainty

Support

  • Monika Thieme-Trapp

    Monika Thieme-Trapp

    Secretary's Office

  • Laura Sokolowski

    Laura Sokolowski

    Secretary's Office

Software & Data

A gateway to active benchmark libraries and research resources.

Explore Software & Data

GasLib

A collection of gas network data sets for optimization and algorithmic research.

Recent Activity

Recent talks, publications, projects, and other research activity.

All news
  1. Talk

    BOBILib at ICBO 2026

  2. Talk

    Plenary talk at EUROPT 2026

  3. Talk

    Invited lectures at the EUROPT summer school

  4. Talk

    Invited colloquium at TU Clausthal

About Martin Schmidt

My academic career has included positions at Trier University, FAU Erlangen-Nürnberg, Leibniz Universität Hannover, and Zuse Institute Berlin. My academic service includes editorial work and leadership roles.

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Martin Schmidt