Shown are all currently funded projects. A list of completed projects (since 2008) can be found here
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 | Machine Learning for Simulation Intelligence in Composite Process Design (>> more) Project Head: M. Hintermüller, C. Scheffler (IPF Dresden) January 1, 2022 - December 31, 2024 |
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 | Optimal Shape Design of Air Ducts in Combustion Engines (>> more) Project Head: M. Hintermüller, K. Knall (Math.Tec) April 16, 2018 - August 31, 2022 |
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| Decision-making for energy network dynamics (>> more) 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 (>> more) Project Head: M. Hintermüller, K. Papafitsoros, Carsten Graeser (FU) April 1, 2022 - March 31, 2025 |
| Data-driven robust model predictive control under distribution shift (>> more) Project Head: M. Hintermüller, J. Zhu January 1, 2022 - December 31, 2023 |
| Integrated learning and variational methods for quantitative dynamic imaging (>> more) Project Head: M. Hintermüller, C. Kolbitsch (PTB), T. Schäffter (PTB / TU Berlin) January 1, 2022 - December 31, 2023 |
| Direct reconstruction of biophysical parameters using dictionary learning and robust regularization (>> more) Project Head: M. Hintermüller, T. Schäffter (PTB / TU Berlin) January 1, 2019 - September 30, 2022 |
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| Coordination Funds (>> more) Project Head: M. Hintermüller April 1, 2020 - March 31, 2023 |
| A non-smooth phase-field approach to shape optimization with instationary fluid flow (>> more) Project Head: M. Hintermüller, M. Hinze (Uni Hamburg) January 1, 2022 - December 31, 2024 |
| Constrained mean field games: Analysis and algorithms (>> more) 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 with quasi-variational inequality constraints (>> more) Project Head: M. Hintermüller April 1, 2020 - March 31, 2023 |
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