جست‌وجوی استاد و پژوهشگر

Angela Stevensمشاهده پروفایل

استاد

• Applied Mathematics
• Nonlinear Partial Differential Equations
• Mathematical Biology
• +۳ مورد دیگر

Prof. Dr. Angela Stevens is a Full Professor in Applied Mathematics at the University of Münster, Germany, leading the Applied Analysis group within the Institute for Analysis and Numerics. She is an Investigator in the Cluster of Excellence Mathematics Münster and holds an honorary position at the University of Leipzig. Her research focuses on applied analysis, nonlinear partial differential equations, mathematical modeling in biology, and interacting particle systems. Notable contributions include work on chemotaxis, cell motility, and regeneration processes in organisms like planarians. Education & Awards : Stevens earned her PhD in Mathematics from the University of Heidelberg (1992) and won the SIAM Student Paper Competition in 1992. She has held visiting positions at institutions such as the University of Minnesota, Hokkaido University, and Stanford University. Research Interests : Her work bridges theoretical analysis with biological applications, emphasizing mathematical models for cell behavior, pattern formation, and epidemiology. Key areas include taxis-driven dynamics, free boundary problems, and multi-scale processes in biological systems. Awards & Recognition : In addition to the SIAM award, her leadership in interdisciplinary research has been recognized through visiting professorships and contributions to collaborative networks like Cells in Motion and CeNoS. Grants & Collaborations : She leads research projects in Mathematics Münster and collaborates internationally on topics like PDEs and stochastic systems. Her work on the mathematical modeling of planarian regeneration highlights her innovative approach to biological problems. Labs & Teams : Stevens oversees the Applied Analysis research group, which actively contributes to the Mathematics Münster cluster and hosts events like the Workshop on Cell Dynamics and Mathematical Modeling (2023).

• Applied Mathematics
• Calculus of Variations
• Partial Differential Equations (PDEs)
• +۳ مورد دیگر

Simon Gabriel is a researcher affiliated with the Institute for Analysis and Numerical Analysis at the University of Münster. His work focuses on applied mathematics, calculus of variations, and partial differential equations with applications in material science and micromagnetism. He investigates phenomena such as magnetic skyrmions, phase transformations in shape memory alloys, and energy minimization problems in thin films. His research combines rigorous mathematical analysis with interdisciplinary applications in physics and engineering. He collaborates with institutions like the Applied Analysis group and contributes to projects exploring rigidity phenomena and microstructure formation. His teaching includes advanced seminars on geometric measure theory and calculus of variations. Affiliations : Institute for Analysis and Numerical Analysis, Faculty of Mathematics and Computer Science Research Interests : Micromagnetism, nonlocal isoperimetric problems, mean curvature flow, and variational methods in material science Key contributions include studies on magnetic skyrmions under confinement, rigidity in phase transformations, and convergence analysis of phase field models. His work bridges mathematical theory with practical applications in understanding material behavior at micro and nano scales.

Christian Serpéمشاهده پروفایل

مدرس ارشد

• Motivic Cohomology
• Algebraic K-Theory
• Nonstandard Analysis
• +۳ مورد دیگر

Christian Serpé is a Senior Lecturer at the University of Münster's Faculty of Mathematics and Computer Science, within the Department of Mathematics and Computer Science. His research focuses on motivic cohomology, algebraic K-theory, and nonstandard methods in algebraic geometry. He collaborates closely with Lars Brünjes on projects involving ultraproducts of schemes and nonstandard model categories. Serpé is actively involved in mathematics education, leading initiatives like inverted classroom methods for beginner courses and producing instructional videos for problem-solving. He regularly teaches courses such as Analysis for Computer Scientists and Linear Algebra for Informatics. Education includes a PhD thesis and diploma work on topics like the Zagier conjecture for elliptic curves. His teaching projects include tutor trainings, interactive CAS courses using H5P activities in the Learnweb platform, and a digitized flipped classroom approach supported by digiFellow and Curriculum 4.0 programs. He maintains a hybrid office hour system combining in-person visits, Zoom (Meeting ID: 4814962211), and telephonic consultations. Research contributions span publications in journals like K-Theory and Journal of Pure and Applied Algebra, with a focus on triangulated categories, spectral sequences, and applications of nonstandard analysis. His didactic innovations emphasize peer feedback loops for video-based teaching and interactive digital learning tools.

Franz-Viktor Kuhlmannمشاهده پروفایل

استاد

• Valuation Theory
• Real Algebra and Ordered Structures
• Model Theoretic Algebra
• +۵ مورد دیگر

Franz-Viktor Kuhlmann is an Ordinary Professor at the University of Szczecin, Poland, and Emeritus Professor at the University of Saskatchewan, Canada. His primary affiliation is with the Institute of Mathematics at the University of Szczecin, where he holds a full professorship. He has also held tenured positions at the University of Saskatchewan from 2004 to 2015, serving as a Professor and Associate Professor. Education: He earned a Teacher's Diploma (1983) and Master's Degree (1982) from the University of Münster, followed by a Ph.D. (1990) and Habilitation (1995) from the University of Heidelberg. His doctoral advisor was Peter Roquette, and his master's advisor was Falko Lorenz. Research Interests: Kuhlmann specializes in valuation theory, real algebra, model-theoretic algebra, and applications to algebraic geometry. His work includes studies on local uniformization, model theory of valued fields, spaces of real places, and fixed point theory in ultrametric spaces. He has contributed significantly to resolving foundational problems in valuation theory, such as the defect in field extensions and the Ax-Kochen-Ershov principles. Editorial and Leadership Roles: He serves on the editorial boards of the Journal of Algebra and Annales Mathematicae Silesianae . He co-organized major conferences, including the 1999 International Conference on Valuation Theory in Saskatoon and the 2011 Segovia conference. He maintains the Valuation Theory Home Page, a critical resource for the field. Professional Contributions: Kuhlmann has authored over 50 peer-reviewed papers, co-edited major conference proceedings, and developed foundational frameworks in valuation theory. His work bridges algebra, logic, and geometry, with applications in model theory and algebraic geometry. Affiliations: Member of the American Mathematical Society, Polish Mathematical Society, German Mathematical Society, and the Association of Symbolic Logic.

Martin Burgerمشاهده پروفایل

استاد

• Inverse Problems
• Mathematical Modeling
• Partial Differential Equations
• +۳ مورد دیگر

Martin Burger is a Leading Scientist at DESY and Full Professor of Mathematics at the University of Hamburg. He heads the Computational Imaging group at DESY, part of the Helmholtz Imaging cooperation platform. His research focuses on imaging reconstruction methods, mathematical foundations of machine learning, and data science algorithms. He is a world-leading expert in inverse problems and applied mathematics. Academic Career: Since 2023: Leading Scientist at DESY and Full Professor at the University of Hamburg 2018–2023: Full Professor at Friedrich-Alexander University Erlangen-Nürnberg 2006–2018: Full Professor at University of Münster 2003–2006: Assistant/University Assistant Professorships at Johannes Kepler University Linz and UCLA 1998–2000: PhD in Mathematics at Johannes Kepler University Linz Research Interests: Specializes in inverse problems, mathematical modeling, and partial differential equations. His team develops novel mathematical tools for scientific image analysis and explores machine learning algorithms. Affiliations: Member of SIAM, GAMM, ÖMG, GIP, and IPIA. Serves on the Program Committee of the GAMM Annual Conference and the Advisory Board of Cambridge University’s Center for Mathematical Imaging in Healthcare.

• Group Theory
• Topology
• Set Theory
• +۳ مورد دیگر

Sam Corson is a Ramon y Cajal Fellow (Research Fellow) at the Technical University of Madrid, specializing in the construction of unconventional mathematical structures at the intersection of group theory, topology, and set theory. His work resolves longstanding conjectures, such as the Cannon-Conner problem on fundamental groups of the harmonic archipelago and Griffiths double cone, and introduces novel objects like Artinian groups of arbitrary cardinality and Jonsson groups satisfying Babai’s infinitary edge orbit conjecture. His research interests emphasize automatic continuity (proving open kernels for homomorphisms from topological groups to hyperbolic/braid groups), wild topology (analyzing fundamental groups of non-locally simply connected spaces), and set-theoretic group theory (constructing groups under ZF axioms without choice). Key contributions include models of ZF where metric spaces fail paracompactness or torsion-free abelian groups lack bi-orderings, demonstrating deep interactions between logic and algebra. Recent publications (2021–2025) reveal a trend toward profinite rigidity in Coxeter groups, cardinality constraints in infinite groups, and geometric realizations of permutation actions. His work spans journals like Bulletin of the London Mathematical Society and Proceedings of the American Mathematical Society , often coauthored with Saharon Shelah and Olga Varghese. Scientific recognition includes: Ramon y Cajal Fellowship (prestigious Spanish postdoctoral award) With an Erdős number of 2, Corson collaborates extensively but has no documented advisees, teaching roles, or grants. His research operates within pure mathematics frameworks without applied lab structures or institutional teams beyond coauthor networks.

Sylvy Anscombeمشاهده پروفایل

دانشیار

• Model Theory
• Mathematical Logic
• Algebra
• +۳ مورد دیگر

Sylvy Anscombe is an Associate Professor (maîtresse de conférences) at Université Paris Cité, affiliated with the Équipe de Logique within the Institut de Mathématiques de Jussieu–Paris Rive Gauche (IMJ-PRG). Her research focuses on model theory and its connections to algebra and number theory, particularly in valued fields, henselian valuations, and decidability questions. She holds a DPhil from the University of Oxford, supervised by Prof. Jochen Koenigsmann. Education: DPhil in Mathematics (Oxford, 2013) Her work explores the definability in henselian fields, Ax–Kochen–Ershov principles, and applications to Hilbert’s Tenth Problem. She co-leads the ANR-DFG project “AKE-PACT” and supervises PhD students in valued field theory. Anscombe serves as an editor for the Model Theory journal and actively contributes to international conferences, including the Logique à Paris series and the Hausdorff Research Institute for Mathematics’ trimester programs. Her research also intersects asymptotic classes of finite structures and measurable fields, with recent work on Cohen rings and existential AKE principles. She collaborates widely, including with Franziska Jahnke and Arno Fehm.

Erika Roldan Roaمشاهده پروفایل

استادیار مهمان

• Stochastic Topology
• First Passage Percolation
• Extremal Topological Combinatorics
• +۳ مورد دیگر

Erika Roldán Roa is a mathematician with academic affiliations at Ohio State University (Visiting Assistant Professor, 2019-2020) and Technische Universität München (Marie Skłodowska-Curie Fellow, 2020-2022). She holds a Ph.D. in Probability and Statistics from CIMAT (2018) and has conducted postdoctoral research at institutions like EPFL and Ohio State. Her work bridges stochastic topology, combinatorics, and educational technology, focusing on topics like cubical sliding puzzles, Eden growth models, and extremal topological problems in polyominoes. Education: Ph.D. in Probability and Statistics, CIMAT (2018) M.Sc. in Mathematics, CIMAT (2014) B.Sc. in Mathematics, Universidad de Guanajuato (2010) Research Interests: Her research spans stochastic topology, extremal combinatorics, and applications of discrete geometry to puzzles and games. She explores configuration spaces, topological properties of random structures, and innovative educational approaches like the Music Math Project, which integrates music and mathematics. Awards: Includes the Marie Skłodowska-Curie Fellowship (2020-2022), Arana-Ordaz Prize (2019), and Sofia Kovalevskaia Prize (2019). She has also received grants from CONACYT and CIMAT. Grants & Outreach: Developed workshops in marginalized communities using music and math, and contributed to software tools like the Eden Model analysis package. Active in science popularization through articles and outreach programs. Labs/Teams: Collaborated on projects like the Eden Model (topology analysis software) and extremal animal configurations, often involving interdisciplinary teams in mathematics and computer science.

• Partial Differential Equations
• Interface Evolution Problems
• Fluid Mechanics
• +۲ مورد دیگر

Sebastian Hensel is a Researcher at the Hausdorff Center for Mathematics (HCM) at the University of Bonn since September 2021, under the mentorship of Prof. Tim Laux. He holds a PhD in Mathematics from the Institute of Science and Technology Austria (IST Austria), where he studied under Prof. Julian Fischer. His research focuses on partial differential equations, particularly interface evolution problems, fluid mechanics, stochastic homogenization, and stochastic PDEs. He has contributed to topics like mean curvature flow, free boundary problems, and weak-strong uniqueness principles. Education includes a PhD (2021, IST Austria), Master of Science in Mathematics (2017, Humboldt-Universität zu Berlin), and Bachelor degrees in Mathematics (2015, Freie Universität Berlin) and Business Administration (2013, Freie Universität Berlin). His work explores geometric PDEs, including multiphase systems, contact angle dynamics, and stochastic influences. Key contributions include stability analyses of evolving interfaces and convergence studies of phase-field models. His articles often bridge analytical rigor and applied mathematics, addressing challenges in nonlinear dynamics and calculus of variations. He has presented research at international conferences such as FBP 2020, SIAM MS20, and Equadiff 2019. His academic activities include seminars at institutions like TU Chemnitz, University of Regensburg, and Max-Planck Institute for Mathematics in the Sciences, Leipzig.

Fernando Buarque de Lima Netoمشاهده پروفایل

استاد مهمان

• Artificial Intelligence
• Computational Intelligence
• Swarm Intelligence
• +۵ مورد دیگر

Prof. Fernando Buarque de Lima Neto is a Visiting International Professor at the University of Münster, collaborating with the Department of Information Systems. He is affiliated with the University of Pernambuco (Brazil), where he leads the Computational Intelligence research group since 2003. His collaborations with Prof. Hellingrath, Prof. Vossen, and Prof. Kuchen focus on integrating Computational Intelligence methods into Supply Chain Management. His research spans three core areas: Swarm Intelligence, Evolutionary, Social, and Hybrid Metaheuristics Modeling and Simulation of Stochastic Problems Intelligent Decision Support Systems (including Computational Semiotics) During his visiting professorship, he envisions extended collaborations, mentoring PhD students, participating in structural doctoral programs, and developing specialization modules/seminars until 2025. His accolades include a prestigious Alexander-von-Humboldt Foundation scholarship , enabling recurring visits to Münster since 2015.

Haye Hinrichsenمشاهده پروفایل

استاد

• Quantum Information Theory
• Exactly Solvable Systems
• Tensor Networks
• +۴ مورد دیگر

Prof. Haye Hinrichsen holds a C3 professorship at the University of Würzburg within the Chair of Theoretical Physics III . His academic journey includes roles as Acting Professor at the University of Wuppertal (2001), Senior Assistant at Duisburg-Essen (2000), and postdoctoral research at institutions like the Weizmann Institute of Science (1995–1997). He earned his PhD in 1993 from the University of Bonn under Prof. V. Rittenberg, focusing on quantum groups. His research interests span quantum information theory , exactly solvable systems , statistical physics far from equilibrium , reaction-diffusion processes , and non-equilibrium phase transitions . Notable achievements include the 2007 Award for Good Teaching and contributions to understanding entropy-based tuning systems in music. His recent work explores topics like causal set propagators in anti-de Sitter spacetime, eigenmodes on hyperbolic lattices, and renormalization techniques in quantum field theories. He has also applied physics principles to music acoustics, developing adaptive tuning schemes using entropy maximization. Key Research Themes: Quantum gravity, non-equilibrium dynamics, topological complexity, and interdisciplinary applications in music. Teaching: Courses include Theoretical Physics I, Computational Physics, and General Relativity. Lab/Affiliation: Chair of Theoretical Physics III at Hubland South, Building M1.

Tobias Straußمشاهده پروفایل

مدرس

• Mathematics Education
• Historical Document Analysis
• Machine Learning
• +۵ مورد دیگر

Dr. Tobias Strauß is a Lecturer at the Institute of Mathematics, Faculty of Mathematics and Natural Sciences, University of Rostock. He teaches courses such as Elementary Algebra and Number Theory and Analytical Geometry, focusing on foundational mathematical concepts and their applications. His research interests span historical document analysis, machine learning, and neural networks, with a particular emphasis on handwritten text recognition (HTR) and computational solutions for cultural heritage digitization. He actively contributes to the Mathematics Society RHO eV, supporting students in mathematics competitions and enrichment programs. Dr. Strauß’s research combines computer vision and machine learning to address challenges in document analysis, including text line detection, cursive script recognition, and keyword search in historical manuscripts. His work also explores semi-supervised learning techniques and neural network architectures tailored for HTR tasks. Through RHO eV, he promotes mathematics education through weekend seminars, district clubs, and game-based learning activities, fostering student engagement and problem-solving skills. His publications highlight advancements in HTR systems, such as the CITlab Recognition & Retrieval Engine, and address topics like regular expression-based decoding and Arabic handwriting recognition. These contributions underscore his expertise in bridging theoretical mathematics with practical applications in digital humanities and education. Dr. Strauß can be contacted via tobias.strauss@uni-rostock.de or through the university’s chat platform. No formal awards or grants are noted in the provided materials, though his involvement in international competitions (e.g., ICFHR, ICDAR) reflects his scholarly engagement.

Alexander Lodemannمشاهده پروفایل

پژوهشگر

• Artificial Intelligence
• Automated Planning
• Domain Learning
• +۲ مورد دیگر

Alexander Lodemann is a research assistant and PhD student at the Institute of Artificial Intelligence, University of Ulm, since March 2025. Affiliated with the KEMAI Research Training Group under supervisors Prof. Dr. Birte Glimm and Prof. Dr. Ambros J. Beer, he focuses on AI planning with emphasis on domain learning and hierarchical techniques. His research spans Artificial Intelligence, Automated Planning, Domain Modelling, and Hierarchical Task Network Planning. He develops methods for automating planning knowledge acquisition and enhancing hierarchical planning systems to improve accessibility and efficiency in complex AI applications. Recent publications (2024-2025) demonstrate concentrated expertise in Hierarchical Task Network planning, addressing domain learning challenges, unsolvable problem corrections, and integer linear programming optimizations. His work bridges theoretical planning frameworks with practical implementations for complex task structures. Scientific recognition includes: iGEM competition bronze medal (2020) as Team iGEM_UUlm member Teaching contributions feature guest lecturing for "AI Planning" (SoSe 25) and tutoring "Formale Grundlagen" (WiSe 19/20), reflecting active knowledge transfer in core AI curricula. He participates in the KEMAI Research Training Group and previously contributed to the iGEM_UUlm team, leveraging interdisciplinary collaboration for competition success.

Stefan Irnichمشاهده پروفایل

استاد

• Logistics Management
• Operations Research
• Vehicle Routing Problems
• +۵ مورد دیگر

Prof. Stefan Irnich is a Professor at the Chair of Logistics Management, Johannes Gutenberg University Mainz. His research focuses on logistics optimization, vehicle routing problems, and operations research. He leads projects like the DFG-funded 'BiPISh: Bin Packing with Irregular Shapes' (2025), aiming to develop methods for packing irregular 2D shapes. His work bridges theoretical advancements and practical applications, such as integrating drones into routing systems and optimizing last-mile delivery networks. Notably, his former students Dr. Katrin Heßler and Dr. Timo Hintsch won the 2025 EURO Excellence in Practice Award for their BinPACKER project. Dr. Jeanette Schmidt received the Alfred Teves Foundation Prize for her dissertation on routing problem solutions. Irnich also organizes academic events like the SynchroTrans 2013 workshop on synchronization in transport. He maintains an active role in teaching, overseeing Master’s and Bachelor’s seminars in logistics. His research spans algorithm design (e.g., branch-price-and-cut methods), network optimization, and sustainability in transportation. Recent publications address challenges in scattered storage systems, multi-depot routing, and public transport integration.

Martin Brieschمشاهده پروفایل

پژوهشگر

• Program Synthesis
• Genetic Programming
• Machine Learning
• +۳ مورد دیگر

Martin Briesch is a Research and Teaching Assistant at the Chair of Information Systems and Business Administration under Prof. Dr. Franz Rothlauf at Johannes Gutenberg University Mainz since March 2020. He holds a Master of Science in Management (2020) and a Bachelor of Science in Economics (2017), both from JGU Mainz. Roles: Research and teaching responsibilities, course coordination, and thesis supervision. Education: 2017–2020: M.Sc. Management, JGU Mainz 2014–2017: B.Sc. Economics, JGU Mainz Research Interests: Focuses on Program Synthesis , Genetic Programming , Machine Learning , Deep Learning , and Large Language Models . His work explores optimization techniques, evolutionary algorithms, and AI applications in problem-solving and decision support. Teaching: Leads courses such as "Introduction to Software Engineering" and "Introduction to Artificial Intelligence" since 2020. Supervises bachelor's and master's theses in information systems and business administration. Publications: Active researcher with contributions to genetic programming, program synthesis, and AI ethics. His work appears in venues like MKWI and Google Scholar.