جست‌وجوی استاد و پژوهشگر

• Operations Research
• Combinatorial Optimization
• Algorithmic Graph Theory
• +۳ مورد دیگر

Prof. Dr. Marzena Fügenschuh is a Professor at the Berlin School of Economics and Law (BHT Berlin), affiliated with the Department of Mathematics - Physics - Chemistry. She has been actively involved in teaching since the summer semester of 2009, offering courses in applied mathematics, computer science, and media informatics. Her research focuses on operations research, combinatorial optimization, algorithmic graph theory, and network theory, particularly analyzing multiplex networks and their layered structures. Her work emphasizes synthetic model development for complex networks, including air transportation systems and layered network topologies. She has presented her research at major conferences such as Complex Networks and the European Conference on Operational Research. Supervising theses, she guides students in topics like multiplex network generation and optimization algorithms. Prof. Fügenschuh’s contributions span theoretical advancements in graph bisection and practical applications in magnetic measuring systems and industrial design. Her interdisciplinary approach bridges algorithmic theory with real-world engineering challenges.

• Applied Mathematics
• Numerical Analysis
• Computational Fluid Dynamics
• +۳ مورد دیگر

Prof. Katharina Höhne is a Professor of Industrial Mathematics at Berlin University of Technology (TU Berlin), affiliated with Department II - Mathematics - Physics - Chemistry. Her expertise spans applied mathematics, numerical analysis, and computational methods in engineering. She holds a PhD in Mathematics from TU Dresden (2015) and a diploma in Technomathematics (2012). Education: 2012–2015: PhD in Mathematics at TU Dresden (Thesis: 'Analysis and numerics of the singularly perturbed Oseen equations') 2007–2012: Diploma in Technomathematics at TU Dresden (Thesis: 'Comparison of a posteriori error estimators') Research Interests: Focuses on numerical solutions to partial differential equations, computational fluid dynamics, and industrial applications such as thermoplastic materials and lightweight construction. Her work bridges theoretical mathematics and practical engineering challenges. Professional Experience: 2019–2021: CAE engineer at Vitesco Technologies (Continental AG), specializing in flow and thermal simulations for electric drives. 2016–2018: Project employee at inpro GmbH, focusing on process simulation. Lectures: Delivers courses on linear algebra, numerical simulation, and mathematical foundations for engineering disciplines. Recent lectures include 'The Finite Element Method' and public outreach talks on mathematics in engineering.

Bernd Sturmfelsمشاهده پروفایل

استاد

• Algebraic Geometry
• Computational Algebra
• Discrete Mathematics
• +۴ مورد دیگر

Bernd Sturmfels is a Professor of Mathematics, Statistics, and Computer Science at the University of California, Berkeley (since 2008). He concurrently serves as Director and Scientific Member at the Max Planck Institute for Mathematics in the Sciences in Leipzig (since 2017), and holds Honorary Professorships at the Technical University of Berlin and the University of Leipzig (both since 2018). His career includes roles at Cornell University, UC Berkeley, and international institutions. Education: PhD in Mathematics, University of Washington, Seattle (1987) Doctorate (Dr. rer. nat.), Technical University of Darmstadt (1987) Diploma in Mathematics and Computer Science, Technical University of Darmstadt (1985) Research Interests: Bernd Sturmfels is renowned for his work at the intersection of algebra, statistics, and computational science. His research encompasses algebraic geometry, combinatorics, optimization, and their applications in biology and machine learning. He pioneers methods in computational algebra to solve real-world problems in data science and interdisciplinary fields. Awards & Honors: George David Birkhoff Prize in Applied Mathematics (2018) Einstein Visiting Fellow at TU Berlin (2015–2020) Honorary Doctorate from Goethe University Frankfurt (2015) Member of the Berlin-Brandenburg Academy of Sciences and Humanities (since 2018) Grants & Teams: As Director of the Max Planck Institute for Mathematics in the Sciences, he leads interdisciplinary research groups focusing on applied algebra, geometry, and data science. His work bridges theoretical mathematics with practical applications in biology, statistics, and computer science. Labs/Teams: Active in the MPI MiS Leipzig, collaborating with global researchers in algebraic statistics, optimization, and computational biology.

Alex Blackمشاهده پروفایل

پژوهشگر

• Algebraic Combinatorics
• Geometric Combinatorics
• Optimization
• +۳ مورد دیگر

Alex Black is currently a Hermann Weyl Instructor at ETH Zurich, focusing on algebraic and geometric combinatorics and optimization. He will join Bowdoin College as a tenure-track assistant professor in the mathematics department starting Fall 2025. His research emphasizes the simplex method and its applications in optimization and polytope theory. Black’s research explores the interplay between algebraic and geometric combinatorics, with a particular focus on optimization and the simplex method. His work addresses topics such as polytopes, matroid theory, and pivot rules, aiming to advance understanding in discrete and computational geometry. He investigates issues like exponential lower bounds for pivot rules, monotone paths on polytopes, and the structure of flag polymatroids. INFORMS 2022 George Nicholson Paper Competition Finalist for Small Shadows of Lattice Polytopes No advising roles or grants are explicitly mentioned in the provided information.

Cornelia Schönمشاهده پروفایل

استاد

• Operations Research
• Service Operations Management
• Revenue Management
• +۳ مورد دیگر

Prof. Cornelia Schön serves as Professor and Chair of Service Operations Management at the University of Mannheim Business School, where she also directs the Mannheim Executive MBA Program. Her expertise bridges operations research with practical business applications, focusing on data-driven decision support for complex service environments. Her academic foundation includes: Ph.D. and Habilitation from Karlsruhe Institute of Technology (KIT) Diploma in Industrial Engineering MBA from UMass Boston Schön's research centers on quantitative methods for service operations management, with emphasis on revenue management (dynamic pricing, assortment optimization), service design (simultaneous product-process development), and sustainable operations (green product design, servicizing). She integrates operations research with cross-functional value creation, addressing real-world challenges in retail, transportation, and financial services through data-driven modeling. Recent publications reveal consistent focus on machine learning-enhanced assortment optimization, airline/railway scheduling under uncertainty, and sustainability integration in product design. Her work demonstrates strong industry applicability, particularly in transportation logistics and consumer-facing service sectors, with growing emphasis on ESG factors in operational decision-making. No scientific awards for Prof. Schön were documented in the source materials. Schön actively supervises doctoral researchers including Fabian Strohm (service process design), Marius Krömer (airline crew scheduling), Niloufar Sadeghi (assortment optimization), and Oliver Vetter (product pricing), while mentoring master's students like award-winning Jan-Hendrik Büscher (ESG in bank risk management). Her research receives industry collaboration funding and addresses practical implementation through application-driven projects. The Chair maintains an active research ecosystem with dedicated research assistants and administrative support, facilitating collaborative projects that translate theoretical models into operational solutions for partner organizations.

• Control Theory
• Linear Systems
• Numerical Analysis
• +۳ مورد دیگر

Jordan Jens is a Lecturer at the Institute of Mathematics , affiliated with the Faculty of Mathematics and Computer Science at University of Würzburg . He holds a PhD in Mathematics (2008) and a Diploma in Mathematics (2000) from the same university. Education PhD in Mathematics (2008), University of Würzburg Diploma in Mathematics (2000), University of Würzburg His research focuses on Control Theory and Numerical Analysis , particularly in the context of Linear Systems , Reachability Analysis , and Algorithm Design . Recent publications highlight his work on random linear systems over finite fields, optimal control of iterative solvers, and observer design for delayed systems. Publications between 2002 and 2016 reveal expertise in Dynamical Systems , Matrix Equations , and Nonlinear Control , with applications to numerical algorithms and system stability.

Komla Domelevoمشاهده پروفایل

استاد

• Discrete Harmonic Analysis
• Modelling of Complex Flows
• Turbulent Gas Flows
• +۵ مورد دیگر

Komla Domelevo is a Professor at the Chair of Mathematics VI (Mathematics in the Natural Sciences) , Institute of Mathematics, University of Würzburg. His research focuses on mathematical and numerical analysis of complex flows , including sprays, turbulence, and combustion, as well as discrete harmonic analysis and stochastic methods. Education : Ecole Polytechnique (Bachelor), Universite Pierre et Marie Curie (Master), Ecole Polytechnique (PhD) Previous Affiliations : University of Jerusalem (Post-Doc), University of Toulouse (Assistant Professor) His methodological expertise spans finite volume methods , Discrete-Duality Finite Volume methods , and discrete Hilbert transforms . Scientific awards and student advising details are not publicly listed in the current materials.

Stephan Elsenhansمشاهده پروفایل

استاد

• Algebraic Geometry
• Number Theory
• Computational Algebra
• +۳ مورد دیگر

Stephan Elsenhans is a Professor of Mathematics specializing in Computer Algebra at the University of Würzburg. He holds the Professorship for Mathematics at the Chair of Mathematics I (Algebra) within the Institute of Mathematics. His office is located in Building 30 (Mathematics West), Room 03.010 on the Hubland Nord campus at Emil-Fischer-Straße 30, 97074 Würzburg, Germany. Professor Elsenhans' primary research interests lie at the intersection of Algebraic Geometry , Number Theory , and Computational Mathematics . His work focuses on K3 surfaces , cubic surfaces , Galois groups , and Diophantine equations , with an emphasis on developing and implementing computational methods to solve theoretical problems in these areas. His research often combines deep theoretical insights with practical computational approaches. Analysis of his publication record reveals a consistent focus on computational aspects of arithmetic geometry. There is a strong emphasis on point counting algorithms , invariant theory , and the arithmetic properties of algebraic surfaces . His work frequently addresses fundamental questions about rational points on algebraic varieties, employing techniques from both theoretical mathematics and computer algebra. The collaborative nature of his research, particularly with Jörg Jahnel, demonstrates the interdisciplinary character of modern mathematical research. Professor Elsenhans is an active member of the Computer Algebra research team at the University of Würzburg's Institute of Mathematics. His work contributes significantly to the department's strength in computational algebra and arithmetic geometry. While specific information about students and grants is not detailed in available materials, his extensive publication record in prestigious journals indicates an active research program with considerable impact in his fields of expertise.

Yves Breitmoserمشاهده پروفایل

استاد

• Behavioral Economics
• Econometrics
• Game Theory
• +۳ مورد دیگر

Prof. Dr. Yves Breitmoser is a Professor of Behavioral Economics at the Faculty of Business Administration and Economics at Universität Bielefeld. He holds the Chair of Behavioral Economics (Lehrstuhl für VWL) and is affiliated with the Center for Mathematical Economics and the JICE - Joint Institute for Individualisation in a Changing Environment. His research focuses on behavioral economics, game theory, experimental economics, and social preferences, with notable work on fairness, altruism, decision-making under uncertainty, and strategic interactions in repeated games. He is actively involved in academic governance, serving as a member of the Commission for the Development of the University and in module design roles such as Module Designee for Behavioral Economics. His research explores interdisciplinary perspectives on individual behavior in complex environments, with a particular emphasis on understanding how social preferences and cognitive biases influence economic decisions. Key research themes include experimental investigations of fairness-based altruism, inequity aversion in repeated interactions, and the strategic implications of presentation effects in decision-making. His work bridges theoretical models with empirical evidence, often employing controlled experiments to validate hypotheses about human behavior in economic contexts. Prof. Breitmoser collaborates across disciplines, contributing to the understanding of individualization processes in changing environments through his affiliation with JICE. His publications span topics from voting mechanisms and committee dynamics to auction behavior and welfare-based decision-making frameworks.

• Statistics
• Big Data
• Machine Learning
• +۳ مورد دیگر

Guillermo Briseño Sanchez was affiliated with the Department of Statistics at the Technical University of Dortmund, contributing to the Statistical Methods for Big Data research group as a Researcher. His work focuses on advanced statistical methodologies, including copula regression, boosting techniques, and distributional modeling applied to diverse fields such as survival analysis, learning analytics, and policy evaluation. He has published on topics such as bivariate time-to-event data analysis, causal inference, and flexible econometric models. While no specific awards or grants are mentioned, his research emphasizes the development of novel statistical frameworks for complex data structures.

Stefan Funkenمشاهده پروفایل

استاد

• Numerical Analysis
• Finite Element Method
• Boundary Element Method
• +۷ مورد دیگر

Prof. Dr. Stefan Funken serves as Professor of Numerical Analysis, Dean of the Faculty of Mathematics and Economics, and Deputy Director of the Institute for Numerical Mathematics at the University of Ulm. His distinguished academic career spans over two decades with significant contributions to numerical mathematics and computational methods. His educational journey includes: 1982-1986: Vocational training as energy plant electronics technician at RWE 1986-1988: Abitur (secondary education) at Friedrich-Spee-Kolleg in Neuss 1988-1993: Mathematics studies at University of Hannover and Brunel University, earning MSc in Numerical Analysis (1992) and Diplom (1993) 1996: PhD with dissertation 'Fast solution methods for FEM-BEM coupling equations' at University of Hannover 2002: Habilitation on 'Contributions to a posteriori error estimation in the numerical treatment of elliptic partial differential equations' at University of Kiel Prof. Funken's research focuses on developing and analyzing discretization methods for partial differential and integral equations. His work emphasizes efficient algorithm implementation in MATLAB, C++, and Python, with applications spanning engineering simulations, corrosion analysis, and fluid dynamics. He has made seminal contributions to adaptive mesh refinement techniques, a posteriori error estimation frameworks, and the coupling of finite element and boundary element methods. His recent publications reveal a consistent research trajectory focused on practical implementations of numerical methods, particularly through MATLAB-based tools. The work demonstrates evolution from theoretical foundations to robust software implementations that serve both academic research and industrial applications, with particular emphasis on computational efficiency and error control. Prof. Funken actively mentors doctoral researchers, with current students working on adaptive mesh refinement algorithms, polygonal mesh analysis for corrosion simulation, and lubrication oil validation. He has developed extensive educational resources including the 'Mathe? Logisch!' YouTube channel (launched 2018) and specialized tutorials for LaTeX and MATLAB learning. He maintains active professional engagement through memberships in the German Mathematical Society (DMV) and the Society for Applied Mathematics and Mechanics (GAMM), contributing significantly to the mathematical community through these organizations. Leading specialized research groups in numerical mathematics, Prof. Funken has developed critical software tools including epsBEM (Efficient P-Stable Boundary Element Methods) and AMESHREF (Matlab-Toolbox for Adaptive Mesh Refinement in 2D). His team bridges theoretical numerical analysis with practical computational implementations, creating accessible educational resources and open-source tools that democratize advanced numerical methods for students and researchers worldwide.

• Numerical Analysis
• Optimization on Manifolds
• Riemannian Geometry
• +۳ مورد دیگر

Ronny Bergmann is an Associate Professor at the Department of Mathematical Sciences, Norwegian University of Science and Technology (NTNU) since March 2021. Previously, he held research positions at TU Chemnitz (2018–2021) and TU Kaiserslautern (2013–2018), where he completed his habilitation in 2018. He earned his PhD in 2013 from Universität zu Lübeck under the supervision of Jürgen Prestin. His research focuses on numerical optimization on Riemannian manifolds, geometric computing, and manifold-valued data analysis. Key contributions include the development of the Manifolds.jl and Manopt.jl packages in Julia, which provide frameworks for optimization and data analysis on manifolds. He also works on applications in imaging, inverse problems, and geometric inverse methods. Recent work emphasizes non-smooth optimization on manifolds, Fenchel duality in non-Euclidean spaces, and geometric algorithms for shape analysis. His publications span journals like SIAM Journal on Scientific Computing , Journal of Optimization Theory and Applications , and Applied and Computational Harmonic Analysis . Bergmann teaches courses such as TMA4125 Mathematics 4N and actively promotes reproducible research through tools like Quarto. He collaborates on projects involving Lie groups, mesh denoising, and geometric deep learning.

Raimund Wegenerمشاهده پروفایل

پژوهشگر

• Fiber Dynamics
• Computational Fluid Dynamics
• Industrial Mathematics
• +۳ مورد دیگر

Raimund Wegener is a researcher at the Fraunhofer Institute for Industrial Mathematics ITWM in Kaiserslautern. His work focuses on modeling fiber dynamics, kinetic theories, and industrial processes, particularly in the context of nonwoven materials and melt spinning. He specializes in developing numerical frameworks and stochastic models to simulate complex systems involving viscoelastic fluids, turbulent airflow interactions, and material behavior under various conditions. His research integrates applied mathematics, computational fluid dynamics, and mechanical engineering to address challenges in manufacturing processes like aerodynamic web forming, electrospinning, and nonwoven production optimization. Key contributions include advancements in predictive modeling for tensile strength inference, boundary condition formulations for viscoelastic fibers, and Pareto-optimized mass distribution strategies. Wegener’s methodologies bridge theoretical models with industrial applications, leveraging asymptotic analysis, finite volume methods, and regression-based approaches. His work is published in journals like the Journal of Computational Physics and Applied Mathematical Modeling, with a strong emphasis on interdisciplinary collaboration.

• Criminal Law
• Judicial Discretion
• Crime Control
• +۳ مورد دیگر

Linus Ensel is a Doctoral Researcher at the Max Planck Institute for the Study of Crime, Security and Law since 2022, affiliated with the Department of Criminal Law. His research focuses on the rationalization of sentencing processes and the implications of reducing judicial discretion. Ensel holds a First State Exam in Law (2022) and a Law degree from the University of Hamburg (2016–2022), specializing in crime and crime control, with a focus on juvenile law. He leads the 'All Computer-Aided Rationalization of Sentencing' project, examining how algorithmic interventions could structure sentencing while addressing ethical and legal challenges. This work bridges legal theory and computational methods to explore systemic reforms in criminal justice. No scientific awards are listed, though his research contributes to interdisciplinary debates at the intersection of law, ethics, and technology.

• Reproducible Research
• Computational Science
• Statistical Modeling
• +۳ مورد دیگر

Aaron Peikert is a Research Fellow and Principle Investigator at the Center for Lifespan Psychology, Max Planck Institute for Human Development. His work focuses on advancing reproducible research methodologies and open science practices in empirical sciences. He holds a doctorate in Psychology (summa cum laude) from the Max Planck Institute, with earlier degrees from Humboldt-Universität zu Berlin (M.Sc., B.Sc. Psychology). His research addresses computational reproducibility, preregistration frameworks, and statistical modeling for nested data. Key professional roles include leadership of the 'Formal Methods in Lifespan Psychology' group, fellowship in the Max Planck-UCL Research School, and visiting scholar positions at UCL, LMU Munich, and others. He has developed influential software tools like StructuralEquationModels.jl and the worcs R package, promoting reproducible workflows. Peikert has authored or co-authored multiple peer-reviewed articles in journals such as Psychometrika , Structural Equation Modeling , and Data Science . His awards include the Max Planck Society's Dieter Rampacher Prize (2023) for exceptional doctoral research and a German Academic Scholarship Foundation grant. He actively contributes to open science initiatives through workshops, policy drafting, and editorial reviewing for NeuroImage and other outlets. Teaching highlights include multivariate statistics courses at Humboldt-Universität and advanced reproducibility workshops at institutions worldwide. His work bridges theoretical statistical innovation with practical implementation, emphasizing rigor in computational workflows and transparent research practices.