Prof. Michael Hintermüller
Research Interests
- Non-linear and non-smooth optimization
- Control of partial differential equations
- Algorithms for nonlinear programming with noisy data
- Numerical algorithms for inverse problems
- Shape optimization and level set methods
- Semismooth Newton methods
- MPECs in function spaces
- Image processing
Current Projects
![]() |
The Berlin Mathematics Research Center |
Decision-making for energy network dynamics
(» AA4-7) Project Head: M. Hintermüller, F. Hante (HU Berlin), S. Pokutta (ZIB / TU Berlin) June 1, 2021 - May 31, 2024 |
|
Robust multilevel training for artificial neural networks
(» EF1-15) Project Head: M. Hintermüller, K. Papafitsoros, Carsten Graeser (FU) April 1, 2022 - March 31, 2025 |
|
Data-driven robust model predictive control under distribution shift
(» EF1-17) Project Head: M. Hintermüller, J. Zhu January 1, 2022 - December 31, 2023 |
|
Integrated learning and variational methods for quantitative dynamic imaging
(» EF3-12) Project Head: M. Hintermüller, C. Kolbitsch (PTB), T. Schäffter (PTB / TU Berlin) January 1, 2022 - December 31, 2023 |
|
![]() |
Mathematical Modelling, Simulation and Optimization Using the Example of Gas Networks |
Multicriteria optimization subject to equilibrium constraints at the example of gas markets
(» B02) Project Head: M. Hintermüller July 1, 2022 - June 30, 2026 |
|
Stochastic gradient methods for almost sure state constraints for optimal control of gas flow under uncertainty
(» C08 ) Project Head: M. Hintermüller July 1, 2022 - June 30, 2026 |
|
![]() |
Non-smooth and Complementarity-based Distributed Parameter Systems: Simulation and Hierarchical Optimization |
Coordination Funds
(» P07) Project Head: M. Hintermüller April 1, 2020 - March 31, 2023 |
|
A non-smooth phase-field approach to shape optimization with instationary fluid flow
(» P08) Project Head: M. Hintermüller, M. Hinze (Uni Hamburg) January 1, 2022 - December 31, 2024 |
|
Constrained mean field games: Analysis and algorithms
(» P09) Project Head: M. Hintermüller, T. Surowiec (U Marburg) October 26, 2020 - October 25, 2023 |
|
A unified approach to optimal uncertainty quantification and risk-averse optimization
(» P10) Project Head: M. Hintermüller April 1, 2020 - March 31, 2023 |
|
![]() |
Leibniz Collaborative Excellence |
ML4Sim: Machine Learning for Simulation Intelligence in Composite Process Design (» more) Project Head: M. Hintermüller, C. Scheffler (IPF Dresden) January 1, 2022 - December 31, 2024 |
Former Projects
- Multicriteria optimization subject to equilibrium constraints at the example of gas markets (TRR154 B02), funding: DFG)
- Equilibria for Energy Markets with Transport (Math+ AA4-3, funding: DFG)
- Optimal transport for imaging (Math+ EF3-3, funding: DFG)
- Direct reconstruction of biophysical parameters using dictionary learning and robust regularization (Math+ EF3-5, funding: DFG)
- Optimal Shape Design of Air Ducts in Combustion Engines (Romsoc, funding: EU, MSCA)
- Fully adaptive and integrated numerical methods for the simulation and control of variable density multiphase flows governed by diffuse interface models (SPP1506 project 15, funding: DFG)
- Mathematical Modeling, Analysis, and Optimization of Strained Germanium-Microbridges (ECMath Project OT1, funding: Einstein Foundation)
- Optimal design and control of optofluidic solar steerers and concentrators (ECMath Project SE5, funding: Einstein Foundation)
- Optimal Network Sensor Placement for Energy Efficiency (ECMath Project SE15, funding: Einstein Foundation)
- Free Boundary Problems and Level Set Methods / FREELEVEL (MATHEON Project A-AP24 / SFB MOBIS subproject funding: DFG / FWF)
- Modeling and optimization of phase transitions in steel (2003-2014, MATHEON Project C11, funding: DFG)
- Optimal control of phase separation phenomena (2009-2014, MATHEON Project C28. funding: DFG)
- MPECs in Function Space (SPP1253 project, funding: DFG)
- Interfaces and Free Boundaries (2006-2013, START Project, funding: FWF)
- Numerical minimization of nonsmooth energy functionals in multiphase materials (2010-2012, MATHEON Project C31, funding: DFG)
- Adaptive Finite Element Methods in Constrained Optimal Control (NSF Project, funding: National Science Foundation (USA))
- Efficient Solution Techniques For Constrained Heat Phenomena (funding: FWF)