Adaptive Discretization Methods Professors and Supervisors in Germany

Teresa BackhausView profile

Researcher

Rhenish Friedrich Wilhelm University of BonnGermany

Teresa Backhaus is a postdoctoral researcher at the Institute for Applied Microeconomics (IAME) within the Department of Economics at the University of Bonn. She is a member of the CRC TRR 224 EPoS (Project C1), a visiting research affiliate at IZA, and actively contributes to the open-source tax-transfer simulator GETTSIM. Since 2024, she represents research associates in the faculty council, advocating for academic staff interests in resource allocation and policy decisions. Her interdisciplinary research sits at the intersection of applied microeconometrics, labor economics, and behavioral economics. Her educational background includes a PhD in Economics from Freie Universität Berlin (2022), an M.Sc. in Economics from the same institution (2017), and a B.Sc. in Economics from the University of Bonn (2015). She also completed coursework in the Berlin Doctoral Program in Economics and Management Science (BDPEMS), now the Berlin School of Economics (BSE), and spent a semester abroad at the University of New Mexico. Teresa's research focuses on labor market dynamics, particularly retirement decisions, life-cycle employment, and the behavioral aspects of economic choices. She investigates how individuals form expectations about wages, how policy interventions affect training participation, and how cognitive limitations influence retirement planning. Her work on the German minimum wage evaluates its effectiveness in reducing poverty and inequality, while her experimental research explores strategy use in repeated games like the Prisoner’s Dilemma, identifying distinct behavioral types such as defectors and cooperators. Her recent publications, appearing in journals such as Labour Economics , Journal of European Social Policy , and Games and Economic Behavior , reflect a strong trend toward integrating structural modeling with behavioral insights. She frequently employs survey data (e.g., SOEP, NEPS) and experimental methods to study causal misperceptions, learning dynamics, and household decision-making. Her work bridges theoretical models with real-world policy implications, particularly in welfare and labor market reforms. Her scientific awards include the WZB World Merit Fellowship (2020) and the PROMOS Scholarship from DAAD (2011). She has also served in leadership roles, including as a student representative in BDPEMS (2016–2018) and currently as the elected representative of academic staff in the faculty council. Teresa collaborates with prominent economists such as Yves Breitmoser, Peter Haan, Steffen Huck, and Hans-Martin von Gaudecker. She has held research positions at WZB Berlin and DIW Berlin and has conducted research stays at University College London. Her involvement in GETTSIM highlights her commitment to open science and policy-relevant computational tools. She is actively engaged in departmental governance and supports institutional transparency and equity through her representation role. Her research lab or team affiliations include the Institute for Applied Microeconomics (IAME), CRC TRR 224, and the GETTSIM development team. She is embedded in a vibrant network of behavioral and labor economists in Germany and internationally, contributing to both theoretical and applied advancements in economics.

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In Young MinView profile

Lecturer

Heidelberg UniversityGermany

In Young Min is a Lecturer in Korean studies at the Centre for East Asian Studies, Heidelberg University. He holds a B.A. and M.A. in Political Science from Yonsei University (South Korea), and a Ph.D. in Political Science and International Relations from the University of Southern California. His research focuses on international relations and security in East Asia, particularly the dynamics of power asymmetry and smaller states' agency in shaping these dynamics, with a regional focus on Korea. Recent work examines historical and contemporary issues surrounding the Korean Peninsula, including nuclear policy and unification treaties. His interdisciplinary contributions span political theory and historical analysis. Education History: B.A. and M.A. in Political Science, Yonsei University, South Korea Ph.D. in Political Science and International Relations, University of Southern California Research Interests: Power asymmetry dynamics in international relations Ontological security and identity in hierarchical systems Korean Peninsula security and unification South Korea's nuclear policy and non-proliferation challenges Publications Trends: His work bridges historical and contemporary analyses, with contributions to journals like the International Relations of the Asia-Pacific and Journal of Asian Security and International Affairs . Earlier technical articles in mathematics and computational methods reflect interdisciplinary engagement, though recent focus is on political science and international relations.

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Ann SychterzView profile

Assistant Professor

University of StuttgartGermany

Ann Sychterz is an Assistant Professor at the University of Illinois Urbana-Champaign in the Civil and Environmental Engineering department. She leads the SMARTI Lab, focusing on adaptive structures, tensegrity systems, and machine learning for civil infrastructure. Her research integrates computational design with experimental validation to create deployable systems for climate resilience. PhD, Swiss Federal Institute of Technology Lausanne (2018) M.A.Sc, University of Waterloo (2014) B.A.Sc, University of Waterloo (2012) Her research interests span structural dynamics, form-finding, machine learning, and adaptive infrastructure. Recent work involves MLRAM materials for tensegrity structures, origami-based coastal anchors, and sensor-actuator optimization. 2024-2025 highlights include a Visiting Professorship at University of Stuttgart and SEAOI Outstanding Young Engineer Award . Key trends across her 2023-2025 publications include: Advancements in tensegrity and origami structural modeling Integration of machine learning for damage detection Functionally graded materials for geotechnical applications Experimental validation of full-scale deployable systems Scientific recognition includes: ASCE SEI Future Leaders Award (2024) Best Paper/Poster Awards (2021-2025) NSERC and Ontario Graduate Scholarships Leadership roles in ASCE Technical Committees She advises PhD students in structural control, oversees the SMARTI Lab, and collaborates with the Beckman Institute and National Center for Supercomputing Applications. Her work addresses climate-driven infrastructure challenges through deployable, biomimetic designs.

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Malte WincklerView profile

Research Fellow

University of Duisburg-EssenGermany

Dr. Malte Winckler is a research-active academic in the Faculty of Mathematics at the University of Duisburg-Essen, Germany. His work centers on the numerical analysis of partial differential equations with applications in superconductivity and electromagnetic field modeling. His research focuses on numerical analysis of PDEs , particularly Maxwell's equations , variational inequalities , and shape optimization . He applies advanced mathematical techniques to model physical phenomena in type-II superconductors , including Bean's critical-state model and H(curl)-elliptic systems. His methodological expertise lies in finite element methods, adaptive approximation schemes, and optimal control. The recent publications show a consistent focus on developing and analyzing numerical schemes for non-smooth and nonlinear PDEs arising in superconductivity. Key themes include adaptive edge elements , fully discrete approximations , and shape optimization under physical constraints . These works appear in top-tier applied mathematics journals such as SIAM Journal on Numerical Analysis and Computational Optimization and Applications . Dr. Winckler is involved in the DFG SPP 1962 Priority Programme as a contributor to project 22 on non-smooth distributed parameter systems. He teaches courses such as Introduction to Numerical Methods and collaborates closely with Prof. Dr. Irwin Yousept. He has no listed scientific awards in the provided text. He maintains active research profiles on Google Scholar , ResearchGate , ORCID , and GitLab , indicating engagement with the broader scientific community. He advises no students listed in the material and is not indicated as part-time, retired, or former staff.

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Peter MünchView profile

Researcher

Technical University of Berlin (TU Berlin)Germany

Peter Münch is a postdoctoral researcher at the Chair of Numerical Methods for Partial Differential Equations within the Institute of Mathematics at Technical University of Berlin (TU Berlin), Faculty II - Mathematics and Natural Sciences. He has held research positions at Uppsala University, University of Augsburg, Helmholtz-Zentrum Hereon, and Technical University of Munich. Dr. Münch's research focuses on high-performance scientific computing with expertise in matrix-free computations, dynamic sparse communication patterns, node-level optimization, iterative solvers including multigrid and block preconditioners, and efficient algorithms for high-dimensional partial differential equations. His work spans discontinuous Galerkin methods, computational fluid dynamics, and simulation of additive manufacturing processes including solid-state sintering and melt-pool modeling. He is one of the principal developers of the deal.II finite-element library, which won the SIAM/ACM Prize in Computational Science and Engineering in 2025. His recent publications demonstrate significant contributions to matrix-free finite element methods, multigrid solvers, and applications in computational fluid dynamics and materials science. The research shows a strong trend toward high-performance implementations of numerical methods for extreme-scale computing, with particular emphasis on matrix-free approaches that avoid explicit storage of large sparse matrices. SIAM/ACM Prize in Computational Science and Engineering 2025 (for deal.II) Dr. Münch has supervised numerous student projects including Master's theses, Bachelor's theses, and term papers on topics ranging from immersed boundary methods to high-order discontinuous Galerkin methods. His teaching activities include courses on Numerical Methods for ODEs, PDEs, and High-Performance Parallel Computing. He has contributed to multiple deal.II tutorial programs (steps 19, 68, 75, 76, 87) demonstrating advanced finite element techniques. As a principal developer of the deal.II finite element library, Dr. Münch is actively involved in the open-source scientific computing community, contributing to one of the most widely used finite element frameworks in computational science and engineering. His GitHub profile shows consistent contributions to deal.II and related projects, with significant activity in 2025.

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Michael TannerView profile

Research Fellow

University of HamburgGermany

Michael Tanner is a Research Fellow at the University of Hamburg , affiliated with the Faculty of Business, Economics and Social Sciences and Department of Socioeconomics . He holds a Master of Science in Environmental Economics and Climate Change from the London School of Economics and Political Science (LSE). His research focuses on Environmental Economics , Climate Policy , and Natural Resource Management , with a strong emphasis on Galapagos ecosystems. Key areas include economic valuation of mangroves, sustainable fisheries, and the role of institutions in environmental outcomes. Recent publications highlight his work on Deforestation Mitigation , Small-scale Fisheries adaptation to crises, and Pro-environmental Consumer Behavior . His studies often intersect ecological conservation with socio-economic analysis. Michael works in the Climate, Climatic Change, and Society (CLICCS) project and contributes to the Cluster of Excellence CliCCS as a team member. He is associated with the Professorship for Environmental Economics under Prof. Dr. Grischa Perino.

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Emilia FridmanView profile

Professor

Leipzig UniversityGermany

Emilia Fridman is a Professor at the School of Electrical Engineering, Tel Aviv University, specializing in time-delay systems , networked control systems , and distributed parameter systems . Her work bridges robust control , singular perturbations , and nonlinear control , with over 200 journal papers and three monographs. PhD in Mathematics from Voronezh State University (1986) Highly Cited Researcher (2014) and IEEE/IFAC Fellow Recipient of the IFAC Harold Chestnut Prize (2023) and Kadar Family Award (2021) Her research focuses on stability analysis and control design for systems with delays, including sampled-data control , networked systems under communication constraints , and predictor-based methods for input delays . She has developed discretized Lyapunov functionals and descriptor system approaches to address robustness in time-delay systems. Recent publications emphasize finite-dimensional control of PDEs , event-triggered control , and extremum seeking with delays . Her group has secured grants from the Israel Science Foundation (ISF) and collaborates globally on distributed control and stochastic systems . Scientific Awards : IFAC Harold Chestnut Control Engineering Textbook Prize 2023 IEEE Fellow (2014) IFAC Delay Systems Life Time Achievement Award (2021) Stanford University Top 0.03% in Industrial Engineering & Automation (2022) Advising : Mentored over 15 PhD students including Kun Liu, Anton Selivanov, and Rami Katz. Her editorial roles include Automatica and SIAM Journal on Control and Optimization .

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Quirin Thomas Simon VogelView profile

Senior Lecturer

Bielefeld UniversityGermany

Quirin Thomas Simon Vogel is a Senior Lecturer at the University of Klagenfurt , located within the Department of Statistics . Before joining Klagenfurt, he held post-doctoral positions at the Technical University of Munich and New York University Shanghai , and served as Interim Professor at Ludwig-Maximilians University of Munich . His research lies at the intersection of probability theory and statistical mechanics . Specifically, he investigates random walks , random algorithms , and loop-based models arising from physical systems. Key themes include: Loop percolation and interacting Bose gases Large deviations and critical phenomena Randomised algorithms for communication networks Mathematical models of cancer dynamics and immune response Across his 2020-2025 publications, Vogel consistently applies probabilistic techniques to high-dimensional statistical-physics models, neural-network theory, and wireless-protocol design, evidencing a broad yet cohesive research portfolio. Contact details: Email: quirin.vogel@aau.at Office: N.0.01, Main Building, North Wing West, Level 0 Phone: +43 463 2700 3156

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Philipp BringmannView profile

Researcher

Humboldt UniversityGermany

Dr. Philipp Bringmann is a postdoctoral researcher at the Institute of Analysis and Scientific Computing , Technische Universität Wien (TU Wien), where he has worked since February 2023. His research focuses on adaptive finite element methods, particularly for fourth-order partial differential equations and Stokes problems, with emphasis on optimal convergence rates and parameter-free implementations. His work includes the development of C0 interior penalty methods for the biharmonic equation, discontinuous Petrov-Galerkin schemes for nonlinear problems, and rigorous convergence analysis for adaptive least-squares finite element methods. He has contributed to a posteriori error estimation , discretization stability , and nonconforming mesh techniques. His publications span journals such as Numerische Mathematik , arXiv.org , and Computers and Mathematics with Applications , with recurring themes in numerical analysis and computational mathematics. Collaborators include Prof. Carsten Carstensen and Prof. Dirk Praetorius.

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Miriam PrimbsView profile

Professor

Hochschule Ruhr WestGermany

Professor Miriam Primbs is a faculty member at Hochschule Ruhr West (HRW) in the Institute of Natural Sciences, where she teaches Mathematics and Simulation. She has been a professor at HRW since 2011 and coordinates the HRW research focus MARTA since 2022. Professor Primbs studied Mathematics and Physics (Diplom and 1. Staatsexamen) and earned her PhD in Mathematics at the University of Duisburg-Essen. Her career includes a research stay at IMATI CNR in Italy, teaching on the school ship Thor Heyerdahl, and working in Research and Development at Siemens Energy Mülheim before joining HRW. This blend of academic and industry experience informs her teaching and research approach. Her research focuses on applying mathematical and numerical methods to technical problems across engineering disciplines, from mechanics to electrical engineering. As coordinator of the MARTA research focus, she leads various projects including those funded by BMBF and collaborations with industry partners like Siemens Energy. Her scholarly work spans wavelet analysis, numerical methods, signal processing, and power systems analysis. Professor Primbs teaches Engineering Mathematics I and II, Mathematics for E-Commerce, MATLAB, Scientific Simulation, and LaTeX Basics. She employs a flipped classroom approach for foundational courses, providing students with tailored materials and prompt feedback through weekly exercises. In higher semesters, she emphasizes project-based learning and specialized topics. Currently supervising doctoral student Martin Wachs in cooperation with University of Duisburg-Essen Member of the Senate Committee for Research and Transfer at HRW Encourages industry collaboration for practical research applications Professor Primbs maintains strong connections between academic research and industrial applications, leveraging her Siemens Energy experience to bridge theory and practice in mathematical engineering.

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