Find Academic Supervisors

• Representation theory of Lie algebras
• Knot theory and topology
• Categorification
• +7 more

Professor Catharina Stroppel is a distinguished researcher and educator in the Department of Mathematics at the University of Bonn, Germany. She maintains an active research program in representation theory and related fields, with significant contributions to categorification, knot theory, and higher category theory. Her office is located at Endenicher Allee 60, Room 4.007, Bonn, and she is supported by secretary Alev Erisöz-Reinke. Stroppel's research primarily focuses on representation theory of Lie algebras, connections to topology (particularly knot and manifold invariants), categorification, and diagram algebras. Her work bridges abstract algebra with topological applications, exploring combinatorial aspects of representation theory including Schubert calculus, Kazhdan-Lusztig theory, and canonical bases. She has made substantial contributions to understanding Hecke algebras and their representation theory, as well as developing connections between categorification and topological quantum field theories. Her recent publications demonstrate a consistent research trajectory advancing semi-infinite highest weight categories, geometric categorifications, and the interplay between quantum algebra and topology. The work shows increasing sophistication in handling higher categorical structures while maintaining concrete connections to classical representation theory problems. Her research has evolved from foundational work in categorification to more complex structures involving higher categories, quantum groups, and geometric interpretations. Indagationes Mathematicae Best Paper Prize (2022) Honorary Doctorate from Uppsala University Invited Plenary Speaker at the International Congress of Mathematicians (2022) Professor Stroppel has supervised numerous doctoral students, including current PhD candidates Jonas Nehme, Liao Wang, Lukas Bonfert, and Daniel Bermudez Montana. Her former PhD students include Till Wehrhan, Anna Mkrtchyan, Tashi Walde, Tomasz Przezdziecki, Arik Wilbert, Joanna Meinel, Hanno Becker, Antonio Sartori, Hoel Queffelec, Gisa Schaefer, and Sebastian Holzmann. She actively participates in the academic community through the Oberseminar Representation Theory (Darstellungstheorieseminar DAS), which she co-organizes with Johannes Flake, held Fridays 2:15-4pm in Endenicher Allee 60 - SR 1.008. Stroppel leads the Algebra and Representation Theory working group in Bonn and maintains strong connections with the Hausdorff Center for Mathematics, which recently received seven additional years of funding. Her research program continues to expand, with upcoming teaching responsibilities including V4A3 Representation Theory II for the WS25/26 semester.

Ralf WernerView profile

Professor

• Computational Statistics
• Data Analysis
• Business Mathematics
• +6 more

Professor Ralf Werner serves as Professor of Business Mathematics at the University of Augsburg, where he leads the Computational Statistics and Data Analysis working group within the Institute of Mathematics at the Faculty of Mathematics, Natural Sciences and Technology. His academic career spans both theoretical research and practical industry applications in quantitative finance. Werner's research interests encompass: Computational Statistics and Data Analysis Optimization under Uncertainty Financial Engineering and Risk Management Actuarial Science and Insurance Mathematics Portfolio Optimization and Asset Allocation His scholarly output demonstrates a consistent focus on robust mathematical methods applied to financial problems, particularly in replicating portfolios for insurance applications, credit risk modeling, and statistical approaches to financial risk management. Werner's publications appear in leading journals across operations research, mathematical finance, and actuarial science. Professional qualifications include his habilitation at the Karlsruhe Institute of Technology (2011) and doctorate from Friedrich-Alexander University Erlangen (2001). He maintains active industry connections through his role as Scientific Advisor for DEVnet since 2010. Werner serves as Internship Coordinator and DAV (German Actuarial Society) correspondent, supporting students pursuing actuarial careers. He is an active member of multiple professional organizations including the Society for Operations Research (GOR), German Mathematical Society (DMV), and German Society for Insurance and Financial Mathematics (DGVFM).

Alexandre BaronView profile

Assistant Professor

• Metamaterials
• Nanophotonics
• Nonlinear optics
• +5 more

Alexandre Baron serves as an Assistant Professor at the University of Bordeaux and holds a concurrent position as Adjunct Assistant Professor at Duke University. Based at the Paul Pascal Research Center (CNRS) in Pessac, France, his work bridges fundamental optical physics with materials science applications in nanophotonics and metamaterials. His academic training includes: PhD in Nonlinear Optics from Institute of Optics Graduate School/University Paris-Sud 11 (2007-2011) Master Degree in Physics - Optics and Photonics from Paris-Sud 11 University (2006-2007) Engineering Degree in Optics from Institute of Optics Graduate School (2004-2007) Baron's research program focuses on cutting-edge optical phenomena, particularly in metamaterials including self-assembled structures, optical magnetism, hyperbolic metamaterials, and metasurfaces. His nanophotonics work investigates plasmonic, dielectric and composite nanoparticles, while his nonlinear optics research examines field enhancement effects and nonlinear plasmonics. His photonic crystals studies address slow light phenomena, nonlinear effects, and disorder impacts. Analysis of his publication record reveals consistent contributions to fundamental understanding of light-matter interactions at the nanoscale, with increasing emphasis on engineered nanostructures and their optical properties. His recent work demonstrates sophisticated control over multipolar responses and tailored scattering in metamaterial systems. As a member of the Paul Pascal Research Center - a joint CNRS and University of Bordeaux unit focused on functional materials and soft matter - Baron contributes to an interdisciplinary research environment that brings together chemists, biochemists, physical chemists and physicists across six research teams.

• Sustainable Energy Systems
• Numerical Optimization
• Deep Learning
• +3 more

Dr. Manuel Dahmen serves as Head of Department at the Institute of Climate and Energy Systems (ICE-1) within the Research Center Jülich. His research focuses on designing sustainable and cost-efficient energy systems through numerical optimization and deep learning techniques. He leads efforts in advancing energy system technology, particularly in optimizing renewable energy integration, process network analysis, and the co-design of fuels and engines. His work emphasizes innovative applications of machine learning, such as physics-informed neural networks and reinforcement learning, to address challenges in energy system design and operation. Key areas include reducing greenhouse gas emissions in industrial processes, optimizing energy networks, and developing data-driven models for dynamic process control. Dr. Dahmen’s contributions span algorithm development (e.g., MUSE-BB decomposition algorithms), energy system scenario generation, and robust design methodologies under uncertainty. His research bridges computational methods with practical energy solutions, aiming to achieve decarbonization in industries like copper production and transportation. Publications highlight advancements in renewable energy integration, fuel design for spark-ignition engines, and the application of graph neural networks for molecular property prediction. His interdisciplinary approach fosters collaboration across chemical engineering, computer science, and energy economics to tackle global sustainability challenges.

Toni MaierView profile

Researcher

• Quantum Chemistry
• Density Functional Theory
• Computational Chemistry
• +2 more

Dr. Toni Maier is a postdoctoral researcher at the Institute of Physical and Theoretical Chemistry within the Faculty of Life Sciences at the Technical University of Braunschweig. His academic career spans institutions in Germany, Japan, and the United States, with expertise in quantum chemistry, density functional theory (DFT), and relativistic effects in electronic structure calculations. PhD in Chemistry from Technical University of Berlin (2012–2016) Diploma in Chemistry from Humboldt University of Berlin (2007–2012) Dr. Maier's research focuses on the development of exchange-correlation functionals in DFT, including local and range-separated hybrid functionals, and their application to electronic and vibronic spectra. He also specializes in relativistic quantum chemistry, particularly within exact two-component theory, and the optimization of computational methods like integral screening and semi-numerical integration. His publications highlight advancements in local hybrid functionals for time-dependent DFT (TDDFT), relativistic DFT, and the theoretical characterization of chemical systems. Recent work includes protocols for screening singlet fission chromophores. Feodor Lynen Return Fellowship (2019–2020) JSPS Postdoctoral Fellowship (2017–2019) Elsa-Neumann Scholarship (2013–2016) Dr. Maier's collaborations with Prof. Martin Kaupp, Prof. Hiromi Nakai, and Prof. Christoph Jacob have driven innovations in quantum chemical program development and theoretical modeling of electronic properties.

Hubertus Th. JongenView profile

Professor

• Nonlinear Optimization
• Parametric Optimization
• Semi-Infinite Programming
• +10 more

Hubertus Th. Jongen is a full Professor of Mathematics at RWTH Aachen University and has held an ALMA Professorship at Maastricht University since 2001. He is affiliated with the Department of Mathematics within the Faculty of Mathematics, Computer Science and Natural Sciences at RWTH Aachen. His academic career includes professorships at the University of Hamburg and visiting positions at institutions such as the Humboldt University of Berlin, University of Rome, Tokyo Institute of Technology, and ICSI Berkeley. Full Professor, RWTH Aachen University (since 1987) ALMA Professor, Maastricht University (since 2001) Professor, University of Hamburg (1980–1982) Special Professor, University of Hamburg (from 1983) Guest Professor, Humboldt University of Berlin (1985) His primary research interests lie in nonlinear optimization, parametric optimization, semi-infinite and generalized semi-infinite programming, bilevel optimization, and global optimization. His work integrates deep theoretical analysis with applications in operations research and mathematical programming. He has made foundational contributions to the structural analysis of optimization problems, stability of feasible sets, and critical point theory. The most recent articles show a consistent focus on advanced topics in optimization, particularly in generalized semi-infinite programming, bilevel problems, and equilibrium models. His publications emphasize structural analysis, stability, smoothing techniques, and computational aspects of nonconvex and constrained optimization. There is a strong trend toward understanding the geometry and topology of feasible sets and the behavior of solution concepts under perturbations. Doctor honoris causa, Shanxi University (2003) Honorary Foreign Member, Mongolian Mathematical Society Miembro Honorario, Sociedad Colombiana de Investigación de Operaciones Visitante Distinguido de la Ciudad Puebla, Mexico Special Issue in Optimization journal (2008) honoring his 60th birthday Professor Jongen has advised numerous PhD students and collaborators, including Oliver Stein, Jan-J. Rückmann, and Vladimir Shikhman. He has been deeply involved in research grants and editorial work, serving as co-editor of major journals such as Journal of Global Optimization , Optimization , and Mathematical Methods of Operations Research . He co-founded the SIGOPT interest group and has organized multiple international conferences. He has also authored influential books on nonlinear optimization and optimization theory. He has led significant academic initiatives, including serving as Chairman of the Department of Mathematics at RWTH Aachen (1992–1994, 1996–1998) and as a Senator of the university (1998–2000). His research group and collaborations form a well-established network in parametric and global optimization.

Natalie NeumeyerView profile

Professor

• Nonparametric Statistics
• Semiparametric Statistics
• Stochastic Processes
• +6 more

Prof. Dr. Natalie Neumeyer is a Professor of Mathematical Statistics and its Applications at the Department of Mathematics, Faculty of Mathematics, Computer Science and Natural Sciences, University of Hamburg. Her research focuses on nonparametric and semiparametric statistics, model testing, curve estimation, bootstrap methods, and time series analysis. 2007–present: Professor (W3) at University of Hamburg 2006–2007: Junior Professor (W1) at University of Hamburg 1999–2006: Research Assistant at Ruhr-University Bochum Her academic activities include chairing examination committees for Master's and Diplom programs in Business Mathematics, editorial roles in journals like Annals of the Institute of Statistical Mathematics and Scandinavian Journal of Statistics , and leadership in the DMV Stochastics Section (2018–2023). Recent research involves generalized Hadamard differentiability in copula models, volatility change detection in time series, and specification testing in transformation models. Publications span top journals including Biometrika , Scandinavian Journal of Statistics , and Annals of the Institute of Statistical Mathematics . Her work combines theoretical advancements in empirical processes with practical applications in functional data analysis and financial modeling, demonstrated through a robust portfolio of 54 publications and collaborative projects.

• Continuous Optimization
• Robust Optimization
• Mixed-integer nonlinear optimization
• +7 more

Prof. Dr. Oliver Stein is a faculty member at the Karlsruhe Institute of Technology within the School of Business , specifically the Department of Operations Research . His research focuses on Continuous Optimization , Non-smooth Optimization , and Multiobjective Optimization , with applications in Operations Research , Game Theory , and Engineering Design . Stein has contributed extensively to semi-infinite programming , bilevel optimization , and mixed-integer nonlinear optimization . His work includes theoretical advancements in constraint qualifications , projected gradient flows , and epigraph reformulations , alongside practical applications in gemstone cutting and modular system design . His 15 most recent publications span topics such as non-convex Nash equilibrium problems , granularity in polynomial optimization , and branch-and-bound algorithms , reflecting a blend of theoretical rigor and real-world impact. Stein has received prestigious awards including the Heisenberg fellowship (2005-2006) and Feodor Lynen fellowship (1999-2000). He serves on editorial boards of journals like the Journal of Global Optimization and Optimization .

• Chemical Engineering
• Energy Systems
• Global Optimization
• +3 more

Prof. Alexander Mitsos is a Universitätsprofessor for Process Systems Engineering at RWTH Aachen University's Faculty of Mechanical Engineering since 2012. He leads the Systemverfahrenstechnik group and directs the Institute for Energy and Climate Research (IEK-10) at Forschungszentrum Jülich. His research focuses on deterministic global optimization, energy systems, and sustainable chemical processes. Mitsos' academic lineage traces back to Prof. Roger W. H. Sargent via his PhD advisor Paul I. Barton. Education: 1994–1999: Diploma in Chemical Engineering from Universität Karlsruhe (KIT), specializing in Thermodynamics and Mechanics 2001–2006: PhD in Process Systems Engineering at MIT, advised by Paul I. Barton Research Interests: His work integrates advanced mathematical methods with engineering challenges. Key areas include: Optimal design and operation of chemical processes and energy systems Development of global optimization algorithms for nonlinear problems Integration of machine learning in process design and control Energy transition technologies, including power-to-X processes and CO2 utilization Publications: Over 200 articles across 2025–2024 highlight innovations in optimization, electrochemical systems, and sustainable fuels. Recent focus areas include reinforcement learning for control, graph neural networks for molecular design, and energy market scenario modeling. Labs & Teams: Leads the Process Systems Engineering Lab at RWTH and directs IEK-10’s energy systems modeling initiatives. Collaborates internationally on projects like COMANDO (energy systems optimization framework).

Mirjam DürView profile

Professor

• Mathematical Optimization
• Copositive Programming
• Quadratic Optimization
• +7 more

Mirjam Dür is a Full Professor (W3) at the Department of Discrete Mathematics, Optimization and Operations Research within the Faculty of Mathematics, Natural Sciences and Technology at the University of Augsburg (since 2017). Previously, she held Full Professor positions at the University of Trier (2011-2017) and other academic roles in Groningen, Darmstadt, and Vienna. Her research focuses on mathematical optimization, particularly copositive programming, quadratic optimization, matrix theory, and conic optimization. Born in Vienna, Austria M.Sc. in Mathematics (1996) and PhD in Applied Mathematics (1999) from University of Trier Positive Habilitation evaluation at TU Darmstadt (2005) Research Interests : Global optimization, quadratic and combinatorial optimization, conic optimization and matrix theory, copositive programming, and applications to graph theory and discrete problems. She has pioneered methods like factorization-based approaches for completely positive matrices and cutting plane techniques in copositive programming. Scientific Awards : 2013 Optimization Letters Best Paper Award 2010 VICI Grant (NWO) 2012 GIF Research Grant (German-Israeli Foundation) Key Contributions : Development of algorithms for copositive optimization, theoretical advances in matrix cones, and novel applications to problems like graph stability and discrete optimization. She serves as Senior Editor for Optimization Methods and Software and editorial board member for multiple optimization journals.

Toghrul KarimovView profile

Researcher

• Theoretical Computer Science
• Formal Verification
• Dynamical Systems
• +3 more

Toghrul Karimov is a postdoctoral researcher at the Max Planck Institute for Software Systems (MPI-SWS) in Saarbrücken, Germany, working on the ERC Synergy Grant “DynAMiCs” since April 1, 2025. He collaborates with Valérie Berthé on decision problems at the intersection of dynamical systems theory, logic, and number theory. His educational background includes: Bachelor’s and Master’s degrees from the University of Oxford (2019) Doctoral degree from Saarland University and MPI-SWS (2024) Dr. Karimov’s research focuses on the algorithmic analysis of linear dynamical systems, with emphasis on decidability, verification, and computational complexity. His work bridges theoretical computer science with mathematical logic and number theory, particularly investigating reachability problems, linear recurrence sequences, and the application of o-minimal structures to verification. He employs techniques from automata theory and model theory to solve long-standing problems in the field. His publication record demonstrates consistent contributions to top-tier venues including LICS, ICALP, and SODA, with a clear trajectory toward resolving fundamental questions in dynamical systems verification. Recent work shows increasing sophistication in handling parametric systems and probabilistic extensions, while maintaining strong connections to number-theoretic foundations. His scientific recognition includes: Distinguished Paper Award at LICS 2024 ACM SIGBED Best Paper Award at HSCC 2024 Currently supported by the ERC Synergy Grant “DynAMiCs”, Dr. Karimov maintains an active collaborative research program without current student supervision. His work involves frequent co-authorship with leading researchers across MPI-SWS and IRIF, reflecting the highly interdisciplinary nature of his investigations. He contributes to MPI-SWS’s theoretical computer science research cluster, focusing on the mathematical foundations of software systems verification through the lens of dynamical systems and logic.

• Applied Microeconometrics
• Labor Economics
• Behavioral Economics
• +8 more

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.

• Process Systems Engineering
• Chemical Engineering
• Optimization
• +6 more

Alexander Mitsos is a Professor at Forschungszentrum Jülich in Germany, where he leads research at the intersection of process systems engineering, chemical engineering, and computational methods. His work spans optimization theory, machine learning applications, and energy systems, with a focus on developing novel methodologies for complex engineering problems across multiple domains. Dr. Mitsos's research interests center on the application of advanced optimization techniques to chemical engineering problems. His primary areas of focus include: Process systems engineering and optimization Machine learning applications in chemical engineering Energy systems and hydrogen technologies Bioprocess engineering and control systems Ammonia energy storage and carbon capture His recent publications reveal a strong trend toward integrating machine learning with traditional chemical engineering approaches. He has pioneered work on graph neural networks for molecular property prediction, reinforcement learning for control systems, and bilevel optimization for energy systems. His research demonstrates a consistent focus on developing computationally efficient methods that bridge theoretical advances with practical engineering applications, particularly in sustainability-focused domains like hydrogen technologies and carbon emission reduction. The analysis of his 15 most recent publications shows a balanced portfolio between theoretical method development (e.g., optimization algorithms) and practical applications (e.g., cement production, hydrogen compression). Dr. Mitsos has mentored numerous graduate students and postdoctoral researchers, as evidenced by his extensive publication record with junior authors. His research has been supported by various grants focused on energy transition, process optimization, and sustainable chemical engineering solutions, with significant collaborations across European institutions. The funding landscape for his work appears to emphasize sustainability transitions and industrial decarbonization, particularly in energy-intensive sectors. His work appears to be conducted within a research group focused on process systems engineering, with strong connections to both computational mathematics and practical chemical engineering applications. The group maintains laboratories for experimental validation of computational models, particularly in bioprocess engineering and hydrogen technologies, while maintaining strong theoretical foundations in optimization and control theory.