Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 7 Affordable and Clean Energy -
SDG 13 Climate Action -
SDG 14 Life Below Water
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Collaborations and top research areas from the last five years
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OptiGeoS: OptiGeoS - Optimierung von geschlossenen oberflächennahen geothermischen Systemen
Hamacher, T. (PI), Ulbrich, M. (CoPI) & Zosseder, K. (CoPI)
1/01/24 → 31/12/26
Project: Research
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Theory and Solution Methods for Generalized Nash Equilibrium Problems Governed by Networks of Nonlinear Hyperbolic Conservation Laws
Ulbrich, S. S. (PI) & Ulbrich, M. (PI)
1/01/19 → …
Project: Research
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Optimization methods for mathematical programs with equilibrium constraints in function spaces based on adaptive error control and reduced order or low rank tensor approximations
Ulbrich, S. S. (PI) & Ulbrich, M. (PI)
1/01/16 → …
Project: Research
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Zweistufiger verteilter Optimierungs- und Regelungsansatz für große vernetzte Systeme
Ulbrich, M. (PI) & Hirche, S. (PI)
1/01/10 → 31/12/15
Project: Research
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Advanced numerical methods for PDE constrained optimization with application to optimal design and control of a racing yacht in the America`s Cup
Heuveline, V. V. (PI), Ulbrich, S. S. (CoPI) & Ulbrich, M. (CoPI)
1/01/06 → 31/12/11
Project: Research
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Announcement: Howard Rosenbrock Prize 2024
Ulbrich, M., Dec 2025, In: Optimization and Engineering. 26, 4, p. 2307-2309 3 p.Research output: Contribution to journal › Editorial
Open Access -
Approximating Volumetric Shape Gradients for Shape Optimization with Curved Boundaries Constrained by Parabolic PDEs
Mutti, L. & Ulbrich, M., 2025, In: SIAM Journal on Numerical Analysis. 63, 5, p. 2026-2047Research output: Contribution to journal › Article › peer-review
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APPROXIMATING VOLUMETRIC SHAPE GRADIENTS FOR SHAPE OPTIMIZATION WITH CURVED BOUNDARIES CONSTRAINED BY PARABOLIC PDEs
Mutti, L. & Ulbrich, M., 2025, In: SIAM Journal on Numerical Analysis. 63, 5, p. 2026-2047 22 p.Research output: Contribution to journal › Article › peer-review
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A Semismooth Newton Stochastic Proximal Point Algorithm with Variance Reduction
Milzarek, A., Schaipp, F. & Ulbrich, M., 2024, In: SIAM Journal on Optimization. 34, 1, p. 1157-1185Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Correction to: Differentiability results and sensitivity calculation for optimal control of incompressible two-phase Navier–Stokes equations with surface tension (Computational Optimization and Applications, 10.1007/s10589-022-00415-6)
Diehl, E., Haubner, J., Ulbrich, M. & Ulbrich, S., Apr 2024, In: Computational Optimization and Applications. 87, 3, p. 753-754 2 p.Research output: Contribution to journal › Comment/debate
Open Access