Timo Kreimeier

Timo Kreimeier is a researcher at the Institute of Mathematics, Humboldt-Universität zu Berlin, affiliated with the Mathematical Optimization chair. His work focuses on developing algorithms for constrained and nonsmooth optimization problems, particularly piecewise linear optimization and applications in gas networks and retail portfolio maximization. He is actively involved in the SFB Transregio 154 project (B10) and serves as president of the SIAM/GAMM Student Chapter Berlin.

• Affiliation: Mathematisch-Naturwissenschaftliche Fakultät
• Research: Algorithmic Optimization, with emphasis on practical applications in energy systems and retail modeling.

Teaching activities include courses like Nonlinear Optimization and Theory of Nonsmooth Optimization. He has presented at major conferences such as ENUMATH, SIAM OP23, and INOC 2022, showcasing advancements in abs-smooth optimization methods and their real-world implementations.

• Key contributions: Constrained Active Signature Method for piecewise linear problems, Frank-Wolfe approaches for abs-smooth functions.

His research bridges theoretical optimization frameworks with engineering challenges, particularly in robust gas network design and retail portfolio optimization under uncertainty.