Curriculum Vitae

Publikationen

UKO Literatur Datenbank

Google Scholar Citations MathSciNet ID

Publication list at UHH

Recent material

Evelyn Herberg, Michael Hinze: Variational discretization of one-dimensional elliptic optimal control problems with BV functions based on the mixed formulation. arXiv:2106.14795

Klaus Deckelnick, Philip J. Herbert, Michael Hinze: A novel 1,∞ approach to shape optimisation with Lipschitz domains.  ESAIM: COCV https://doi.org/10.1051/cocv/2021108, see also arXiv:2103.13857 (2022)

Peter Marvin Müller, Niklas Kühl, Martin Siebenborn, Klaus Deckelnick, Michael Hinze, Thomas Rung. A Novel p-Harmonic Descent Approach Applied to Fluid Dynamic Shape Optimization. Struct Multidisc Optim 64, 3489–3503 (2021). https://doi.org/10.1007/s00158-021-03030-x, and arXiv:2103.14735, (2021).

Alessandro Alla, Carmen Gräßle, Michael Hinze: Time adaptivity in model predictive control. J Sci Comput 90, 12 (2022). https://doi.org/10.1007/s10915-021-01647-0, and arXiv:2009.01332, (2022)

Peter Benner, Tobias Breiten, Heike Faßbender, Michael Hinze, Tatjana Stykel, and Ralf Zimmermann (Eds.). Model Reduction of Complex Dynamical Systems. International Series of Numerical Mathematics, Vol. 171, Birkhäuser Basel/Springer Nature, 2021.

Michael Hinze, Denis Korolev: A space-time certified reduced basis method for quasilinear parabolic partial differential equations. Adv Comput Math 47, 36 (2021). https://doi.org/10.1007/s10444-021-09860-z , and arXiv:2004.00548

Niklas Kühl, Jörn Kröger, Martin Siebenborn, Michael Hinze, Thomas Rung: Adjoint Complement to the Volume-of-Fluid Method for Immiscible Flows. Journal of Computational Physics 440 (2021) https://doi.org/10.1016/j.jcp.2021.110411, and arXiv:2009.03957

Kulchytska-Ruchka, Iryna ; Schöps, Sebastian ; Hinze, Michael ; Friedhoff, Stephanie ; Ulbrich, Stefan ; Rain, Oliver. PASIROM: Parallel Simulation and Robust Optimization of Electro-Mechanical Energy Converters. In Success Stories on Mathematics in Industry. Springer (2021)

Ahmad Ahmad Ali, Michael Hinze, Heiko Kröner: Optimal control of elliptic surface PDEs with pointwise bounds on the state, IMA Journal of Numerical Analysis, Volume 40:226–246 (2020)

Evelyn Herberg, Michael Hinze: Variational discretization approach applied to an optimal control problem with bounded measure controls. Radon Series on Computational and Applied Mathematics. Volume 29, "Optimization and Control for Partial Differential Equations", 2021, and  arXiv:2003.14380

N. Kühl, M. Hinze, T. Rung: Cahn-Hilliard Navier-Stokes Simulations for Marine Free-Surface Flows. arXiv:2002.04885 (2020) (accepted for publication in Experimental and Computational Multiphase Flow).

M. Hinze, D. Korolev: Reduced basis methods for quasilinear elliptic PDEs with applications to permanent magnet synchronous motors. Model Reduction of Complex Dynamical Systems, ISNM International Series of Numerical Mathematics (2021), and arXiv:2002.04288 (2020) 

A. Agosti, P. Ciarletta, H. Garcke, M. Hinze: Learning patient-specific parameters for a diffuse interface glioblastoma model from neuroimaging data. M2AN (M2AN-Link).

C. Gräßle, M. Hinze, S. Volkwein: Model Order Reduction by Proper Orthogonal Decomposition. arXiv:1906.05188 (2019) 

C. Gräßle, M. Hintermüller, M. Hinze, T. Keil: Simulation and Control of a Nonsmooth Cahn-Hilliard Navier-Stokes System. arXiv:1907.04285 (2019)

E. Herberg, M. Hinze, H. Schumacher: Maximal discrete sparsity in parabolic optimal control with measures. arXiv:1804.10549 (2018), to appear in MCRF.

A. Ahmad Ali, M. Hinze: Reduced basis methods- an application to variational discretization of parametrized elliptic optimal control problems. SISC, accepted for publication. arXiv:1808.05687 (2018).

N. Kühl, P. M. Müller, A., M. Hinze, T. Rung: Decoupling of Control and Force Objective in Adjoint-Based Fluid Dynamic Shape Optimization.. AIAA Journal (2019), arXiv:1902.04918

M. Hinze and T. N. T. Quyen: Finite element approximation of source
term identification with TV-regularization. arXiv:1901.10278 (2019), Inverse Problems 35 (2019)

C. Gräßle, M. Hinze, J. Lang, S. Ullmann: POD model order reduction with space-adapted snapshots for incompressible flows. arXiv:1810.03892 (2018), to appear in ACOM.

Alessandro Alla, Carmen Gräßle, Michael Hinze: A posteriori snapshot location for POD in optimal control of linear parabolic equations. ESAIM: M2AN 52 (2018) 1847–1873

A. Ahmad Ali,K. Deckelnick, and M. Hinze: Global minima for optimal control of the obstacle problem. arXiv:1810.08556 (2018), to appear in ESAIM: Control, Optimisation and Calculus of Variations (COCV).

A. Ahmad Ali,K. Deckelnick, and M. Hinze: Sufficient conditions for unique global solutions in optimal control of semilinear equations with 1−nonlinearity. arXiv:1902.09639, to appear in Control & Cybernetics.

Michael Hinze, Heiko Kröner: Variational discretization of parabolic control problems on evolving surfaces with pointwise state constraints. arXiv:1604.07658 (2016)

Alessandro Alla, Carmen Gräßle, Michael Hinze: A residual based snapshot location strategy for POD in distributed optimal control of linear parabolic equations. IFAC-PapersOnLine Volume 49, Issue 8, 2016, Pages 13-18.

Publications in the UKO database

 $$CGI https://www.uni-koblenz-landau.de/koblenz/fb3/publications/pub.php?lastname=Hinze&prename=Michael&editor=1&year=1$$

Forschung

UKO Literatur Datenbank

Recent material

Evelyn Herberg, Michael Hinze: Variational discretization of one-dimensional elliptic optimal control problems with BV functions based on the mixed formulation. arXiv:2106.14795

Klaus Deckelnick, Philip J. Herbert, Michael Hinze: A novel 1,∞ approach to shape optimisation with Lipschitz domains.  ESAIM: COCV https://doi.org/10.1051/cocv/2021108, see also arXiv:2103.13857 (2022)

Peter Marvin Müller, Niklas Kühl, Martin Siebenborn, Klaus Deckelnick, Michael Hinze, Thomas Rung. A Novel p-Harmonic Descent Approach Applied to Fluid Dynamic Shape Optimization. Struct Multidisc Optim 64, 3489–3503 (2021). https://doi.org/10.1007/s00158-021-03030-x, and arXiv:2103.14735, (2021).

Alessandro Alla, Carmen Gräßle, Michael Hinze: Time adaptivity in model predictive control. J Sci Comput 90, 12 (2022). https://doi.org/10.1007/s10915-021-01647-0, and arXiv:2009.01332, (2022)

Peter Benner, Tobias Breiten, Heike Faßbender, Michael Hinze, Tatjana Stykel, and Ralf Zimmermann (Eds.). Model Reduction of Complex Dynamical Systems. International Series of Numerical Mathematics, Vol. 171, Birkhäuser Basel/Springer Nature, 2021.

Michael Hinze, Denis Korolev: A space-time certified reduced basis method for quasilinear parabolic partial differential equations. Adv Comput Math 47, 36 (2021). https://doi.org/10.1007/s10444-021-09860-z , and arXiv:2004.00548

Niklas Kühl, Jörn Kröger, Martin Siebenborn, Michael Hinze, Thomas Rung: Adjoint Complement to the Volume-of-Fluid Method for Immiscible Flows. Journal of Computational Physics 440 (2021) https://doi.org/10.1016/j.jcp.2021.110411, and arXiv:2009.03957

Kulchytska-Ruchka, Iryna ; Schöps, Sebastian ; Hinze, Michael ; Friedhoff, Stephanie ; Ulbrich, Stefan ; Rain, Oliver. PASIROM: Parallel Simulation and Robust Optimization of Electro-Mechanical Energy Converters. In Success Stories on Mathematics in Industry. Springer (2021)

Ahmad Ahmad Ali, Michael Hinze, Heiko Kröner: Optimal control of elliptic surface PDEs with pointwise bounds on the state, IMA Journal of Numerical Analysis, Volume 40:226–246 (2020)

Evelyn Herberg, Michael Hinze: Variational discretization approach applied to an optimal control problem with bounded measure controls. Radon Series on Computational and Applied Mathematics. Volume 29, "Optimization and Control for Partial Differential Equations", 2021, and  arXiv:2003.14380

N. Kühl, M. Hinze, T. Rung: Cahn-Hilliard Navier-Stokes Simulations for Marine Free-Surface Flows. arXiv:2002.04885 (2020) (accepted for publication in Experimental and Computational Multiphase Flow).

M. Hinze, D. Korolev: Reduced basis methods for quasilinear elliptic PDEs with applications to permanent magnet synchronous motors. Model Reduction of Complex Dynamical Systems, ISNM International Series of Numerical Mathematics (2021), and arXiv:2002.04288 (2020)

A. Agosti, P. Ciarletta, H. Garcke, M. Hinze: Learning patient-specific parameters for a diffuse interface glioblastoma model from neuroimaging data. M2AN (M2AN-Link).

C. Gräßle, M. Hinze, S. Volkwein: Model Order Reduction by Proper Orthogonal Decomposition. arXiv:1906.05188 (2019) 

C. Gräßle, M. Hintermüller, M. Hinze, T. Keil: Simulation and Control of a Nonsmooth Cahn-Hilliard Navier-Stokes System. arXiv:1907.04285 (2019)

E. Herberg, M. Hinze, H. Schumacher: Maximal discrete sparsity in parabolic optimal control with measures. arXiv:1804.10549 (2018), to appear in MCRF.

A. Ahmad Ali, M. Hinze: Reduced basis methods- an application to variational discretization of parametrized elliptic optimal control problems. SISC, accepted for publication. arXiv:1808.05687 (2018).

N. Kühl, P. M. Müller, A., M. Hinze, T. Rung: Decoupling of Control and Force Objective in Adjoint-Based Fluid Dynamic Shape Optimization.. AIAA Journal (2019), arXiv:1902.04918

M. Hinze and T. N. T. Quyen: Finite element approximation of source
term identification with TV-regularization. arXiv:1901.10278 (2019), Inverse Problems 35 (2019)

C. Gräßle, M. Hinze, J. Lang, S. Ullmann: POD model order reduction with space-adapted snapshots for incompressible flows. arXiv:1810.03892 (2018), to appear in ACOM.

A. Ahmad Ali,K. Deckelnick, and M. Hinze: Global minima for optimal control of the obstacle problem. arXiv:1810.08556 (2018), to appear in ESAIM: Control, Optimisation and Calculus of Variations (COCV).

A. Ahmad Ali,K. Deckelnick, and M. Hinze: Sufficient conditions for unique global solutions in optimal control of semilinear equations with 1−nonlinearity. arXiv:1902.09639, to appear in Control & Cybernetics.

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Research interests

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• Optimal control of partial differential equations

• Optimal control approaches to inverse problems

• Feedback controller design for nonlinear pde systems

• Real time control of systems governed by pdes

• Model reduction techniques in simulation and control of complex physical systems

• Development of Newton- and SQP-type algorithms for large scale optimization problems

• Numerical analysis of discretized control problems

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Projects

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• BMBF Verbundprojekt MLgSA (Daten- und Simulationsgestütze Exploration, Analyse und Behandlung von Gefäßverengungen zur Prävention von ischämischen Schlaganfällen), since 2020

• BMBF Verbundprojekt IH - evrsKI (Interdisziplinärer Hub zur Vermittlung von Kompetenzen in Entwicklung, Umgang und Anwendung von erklärbaren, vertrauenswürdigen, resilienten und sicheren KI-Verfahren), Teilprojekt Mathematik, since 2021

• DFG SPP 1962, Projekt 8 (A Non-Smooth Phase-Field Approach to Shape Optimization with Instationary Fluid Flow), together with Michael Hintermüller, since 2020

• BMBF Verbundprojekt Pasirom (Parallele Simulation und robuste Optimierung von elektromechanischen Energiewandlern mit Unsicherheiten), Bereich Optimierung und Regelung, since 2018-2022

• DFG TRR 181, Project M6 Techniques for atmosphere-ocean wave coupling, 2016-2020
• DFG Schwerpunkt Programm 1962, Project Simulation and Control of a Nonsmooth Cahn-Hilliard Navier-Stokes System with Variable Fluid Densities,  2016-2020

• German Climate Modeling Initiative PALMOD, WG 4.3: Strategies for parallelization in time and model order reduction , 2016-2020

• Lothar Collatz Center for Computing in Science (UHH), Coordinator (2010-2019)

• Lothar Collatz Graduate School (UHH), Director (2013-2019)

• DFG Schwerpunkt Programm 1506 (DFG Priority Programme 1506) SPP 1506 Transport Processes at Fluidic Interfaces , Project Fully adaptive and integrated numerical methods for the simulation and control of variable density multiphase flows governed by diffuse interface models, together with Michael Hintermüller (2013-2016)

• BMBF: Mathematik für Innovationen in Industrie und Dienstleistungen, TP Modellreduktion, in Verbundprojekt Simurom (Simulation und robuste Optimierung von elektromechanischen Energiewandlern unter Berücksichtigung von Unsicherheiten), Partner: Sebastian Schöps (Coordinator), TU Darmstadt, Andreas Bartel, Wuppertal, Stefan Ulbrich, TU Darmstadt, Robert Bosch GmbH und CST Computer Simulation Technology Darmstadt. (2013-2016).

• BMBF: Mathematik für Innovationen in Industrie und Dienstleistungen, TP6: Parametrische Modellreduktion zur gekoppelten Simulation von nano-elektronischen Strukturen, in Verbundprojekt MoreSim4Nano (Modellreduktion zur schnellen Simulation neuer Halbleiterstrukturen in der Nanotechnologie und Mikrosystemtechnik), Partner: Peter Benner (Coordinator), TU Chemnitz, Matthias Bollhöfer, TU Braunschweig, Heike Faßbender, TU Braunschweig, Tatjana Stykel, TU Berlin, Patrick Lang, Fraunhofer ITWM Kaiserslautern (2010-2013).

• DFG Graduiertenkolleg 1286 (Maßgeschneiderte Metall-Halbleiter-Hybridsysteme), Bereich Development of Simulation Tools for Ferromagnetic Structures and Hybrid Systems (2010-2016)

• BMBF: Mathematik für Innovationen in Industrie und Dienstleistungen, TP1 : Modellreduktion zur gekoppelten Simulation von ICs, in Verbundprojekt SyreNe (Systemreduktion für IC Design in der Nanoelektronik), Partner: Peter Benner (Coordinator), TU Chemnitz, Matthias Bollhöfer, TU Braunschweig, Heike Faßbender, TU Braunschweig, Tatjana Stykel, TU Berlin, Patrick Lang, Fraunhofer ITWM Kaiserslautern. 2007-2010.

• DFG Schwerpunkt Programm 1253 (DFG Priority Programme 1253) SPP 1253 Optimization with partial differential equations, Project Structure exploiting Galerkin schemes for optimization problems with pde constraints, together with Klaus Deckelnick (2006-2012)

• DFG Schwerpunkt Programm 1253 (DFG Priority Programme 1253) SPP 1253 Optimization with partial differential equations, Project Hierarchical solution concepts for flow control problems, together with Stefan Turek (2006-2012)

• Sonderforschungsbereich (Collaborative Research Grant) Sfb 609 Elektromagnetische Strömungsbeeinflussung in Metallurgie, Kristallzüchtung und Elektrochemie, TP A4 Kontrolle leitfähiger Fluide mit Methoden der mathematischen Optimierung, 2001-2008

• Sonderforschungsbereich (Collaborative Research Grant) Sfb 557 Beeinflussung komplexer turbulenter Scherströmungen, TP C3 Entwicklung von Feedback-Controllern zur Beeinflussung abgelöster Strömungen (2001-2009)

• Universitärer Forschungsschwerpunkt 8 (Research Focus 8, TU Berlin) UF 8 (Report in ps) Kontrolle turbulenter Scherströmungen - Optimale Steuerung von Gleichungen der Fluiddynamik, till 1998

• Universitärer Forschungsschwerpunkt 4 (Research Focus 4, TU Berlin) UF 4 Simulation von komplexen energiewandelnden Systemen (1998-2002)

Team

Dr. Christian Kahle (Academic Advisor)

Matthias Fischer (Doctoral Student)

Artem Voitenko (Doctoral Student)

Michael Stahl (Research Student)

Former members

Postdoc:

Dr. Philip Herbert (University of Sussex)

Dr. Evelyn Herberg (University of Heidelberg)

Dr. Denis Korolev (Weierstraß Institut Berlin)

JProf. Dr. Carmen Gräßle (TU Braunschweig)

Dr. Ahmad Ahmad Ali (Uni Chemnitz)

Dr. Heiko Kröner
Dr. Quyen Tran (Uni Göttingen)
Dr. Ulrich Matthes (Uni Hamburg)
Dr. Henrik Schumacher (RWTH Aachen)

Dr. Marion Dziwnik (Uni Hamburg)
Dr. Christian Kahle (TU München),
Prof. Dr. Alessandro Alla (Uni Venice),
Dr. Julia Sternberg (Uni Hamburg),
Prof. Dr. Wei Gong (Chinese Academy of Science),
Prof. Dr. Zhaojie Zhou (Shendong China),
Dr. Kasra Mohaghegh (Leuven)

Phd:
Konstantin Afanasiev (TU Berlin),
Guido Büttner (TU Berlin),
Stefan Ziegenbalg (TU Dresden),
Ulrich Matthes (TU Dresden),
Andreas Günther (Hamburg),
Claudia Denecke (Hamburg),
Henrik Veelken (Hamburg)
Claas Abert (Hamburg)
Morten Vierling (Hamburg)
Jonas Holländer (Hamburg)
Janja Nahrstaedt (Hamburg)
Fatemeh Zenderouh Kermani (Hamburg)
Thorben Vehling (Hamburg)
Nikolaus von Daniels (Hamburg),
Ahmad Ahmad Ali (Uni Hamburg),
Anne Gerdes (TU Harburg)

Diploma, Master:

Stanislaw Avramenko (UKO)

Ilia Ziborov (UKO)

Anna Bedoshvili (UKO)

Sowjanya Gunturu (UKO)

Volkan Cicek (UKO)

Vamshi Mohan Bandla

Jonathan Rochert

Prashanth Reddy Patlolla

Björn Ludwig (TUHH)

Rasmus Wormstädt (TUHH)
Oke ALff (TUHH)
Clemens Oszkinat (TUHH)
Gozel Judakova (Uni Hamburg)
Evelyn Herberg (Uni Hamburg)
Kateryna Korzh (Uni Hamburg)
Iryna Kulchytska-Ruchka (Uni Hamburg)
Nicolas Scharmacher (Uni Hamburg)
Maryia Borukhava (Uni Hamburg)
Philipp Heners (TU Harburg)
Gabriela Cirtala (Uni Hamburg)
Orest Mykhaskiv (TU Harburg)
Jonas Hollaender (Uni Hamburg)
Ahmad Ali (Uni Hamburg)
Fatemeh Zendehrouh Kermani (Uni Hamburg)
Xiaojing Luo (Uni Hamburg)
Henrik Veelken (Uni Hamburg)
Till Martens (Uni Hamburg)
Nikolaus von Daniels (Uni Hamburg)
Christian Kahle (Uni Hamburg),
Morten Vierling (Uni Hamburg),
Andreas Günther (TU Dresden),
Eva Brussies (TU Dresden),
Ronny Hoffmann (TU Dresden),
Sylvia Böhlmann (TU Dresden),
Julia Vietze (TU Dresden),
Stefan Ziegenbalg (TU Dresden),
Anne Paepcke (TU Dresden),
Ulrich Matthes (TU Dresdden),
Uwe Prüfert (TU Berlin),
Olivier Pfeiffer (TU Berlin),
Ebrahim Hardan (TU Berlin),
Ulrike Baur (TU Berlin),
Stefan Diehl (TU Berlin),
Uwe Der (TU Berlin)

Bachelor:
Laxciy Varathanathan (Uni Hamburg)
Finn Schröter (Uni Hamburg)
Malte Krümel (Uni Hamburg)
Anna Buhne (Uni Hamburg)
Sina Herbst (Uni Hamburg)
Oke Alff (TU Hamburg)
Jakob Kneip (Uni Hamburg)
Nicolas Scharmacher (Uni Hamburg)
Mirja Tabea Mente (uni Hamburg)