جست‌وجوی استاد و پژوهشگر

• Noncommutative Algebra
• Group Theory
• Ring Theory
• +۳ مورد دیگر

Beeri Greenfeld is a Researcher at the Department of Mathematics, University of Washington, with a focus on algebraic structures, group theory, and noncommutative algebra. Previously, he held a Visiting Assistant Professor position at the University of California San Diego. He is an editor for the Rendiconti del Circolo Matematico di Palermo . Research Interests His work spans noncommutative algebra, Lie algebras, growth functions, and algebraic structures. Notable topics include the Kurosh problem, Zariski topology on groups, and the study of nilpotent groups and monomial algebras. His research bridges algebraic theory with combinatorial and probabilistic methods. Teaching At the University of Washington, he has taught advanced undergraduate and graduate courses such as Topics in the Burnside Problem, Topology, and Probability. At UC San Diego, he instructed courses on mathematical reasoning, calculus, and group theory. He also supervised undergraduate research projects. Preprints & Collaborations Current preprints explore topics like asymptotic Burnside laws, free subalgebras, and growth in modules. Collaborators include prominent mathematicians such as Efim Zelmanov, James Zhang, and J. P. Bell. His work often addresses foundational questions in noncommutative algebra and combinatorial group theory.

Bryna Kraمشاهده پروفایل

استاد

• Ergodic Theory
• Dynamical Systems
• Combinatorics
• +۲ مورد دیگر

Bryna Kra is the Sarah Rebecca Roland Professor of Mathematics at Northwestern University, where she has served as Department Chair (2009–2012) and currently holds roles including President of the American Mathematical Society (2023–). She joined Northwestern as an Associate Professor in 2004 after faculty positions at Pennsylvania State University and postdoctoral roles post her 1995 Stanford PhD. Her research focuses on ergodic theory and dynamical systems, particularly their intersections with combinatorics and number theory. Kra founded the Graduate Research Opportunities for Women (GROW) program, recognized by the AMS for promoting women in mathematics. Her research interests include nilsequences, combinatorial recurrence, and structural properties of dynamical systems. Recent work addresses problems like Erdos’s B+B+t conjecture and infinite sumset configurations, leveraging ergodic methods. Kra has authored over 50 papers, including foundational contributions on nilsystems and uniformity seminorms. Awards: Simons Fellow (2016, 2021), National Academy of Sciences member (2019), AMS Levi L. Conant Prize (2010), and Fellowships from AMS and American Academy of Arts and Sciences. Editorial Roles: Mathematical Surveys and Monographs (AMS), Ergodic Theory and Dynamical Systems (journal), and others. Leadership Initiatives: Expanding Dynamics conferences, GROW program, and mentorship in mathematics education.

• Discrete Geometry
• Combinatorics
• Computational Geometry
• +۳ مورد دیگر

Francisco Santos is a researcher with a focus on Discrete Geometry, Combinatorics, and Computational Geometry. His work bridges theoretical foundations with applications in machine learning and data science. Affiliated with Oak Ridge National Lab, he collaborates internationally on interdisciplinary projects. Research interests include polytopes, geometric algorithms, optimization, and fair machine learning. Publications span high-impact venues like Discrete & Computational Geometry and SIAM Journal on Applied Algebra and Geometry . Notable contributions include studies on multiassociahedra, associahedra minimization, and algorithmic geometry problems. Recent work explores fair cross-network node classification and LoRa sensor networks for environmental monitoring.

Amandine Staircaseمشاهده پروفایل

دانشیار

• Geometric Group Theory
• Measured Group Theory
• Geometric Topology
• +۳ مورد دیگر

Amandine Staircase is an Associate Professor at the Claude Bernard University, Lyon 1 , affiliated with the Camille Jordan Institute . Her research focuses on Geometric Group Theory and Measured Group Theory , exploring topics such as rigidity, orbit equivalences, and metric structures. She holds a PhD from Paris Cité and Montpellier Universities (2021), supervised by Romain Tessera and Jérémie Brieussel. Her academic journey includes teaching roles at Lyon 1, Paris-Saclay, and Münster, covering linear algebra, group theory, and functional analysis. Recent work includes contributions to Groups, Geometry, and Dynamics and the Annales de l'Institut Fourier . Upcoming presentations include the YGGT XIII conference in Copenhagen (April 2025) and a seminar at ENS Lyon (June 2025). She has developed visualization tools for mathematical structures, including Diestel-Leader graphs, using TikZ. Her research emphasizes quantitative aspects of group actions and geometric constructions, bridging algebraic and topological perspectives.

• Geometric Group Theory
• Hyperbolic Geometry
• Curves on Surfaces
• +۳ مورد دیگر

Marie Trin is a postdoctoral researcher at the Max Planck Institute for Mathematics in the Sciences (Leipzig) working in Prof. Anna Wienhard's research group since completing her PhD in June 2024. She maintains dual academic engagement through ongoing teaching appointments at Université de Rennes. Her research focuses on the intersection of geometric structures with topological dynamics, particularly examining: Geodesic currents and their applications to surface geometry Mapping class group actions on curve complexes Thurston compactification for non-compact hyperbolic surfaces Combinatorial properties of arc systems on surfaces Recent publications demonstrate methodological innovation in applying geometric group theory to solve longstanding problems in surface topology, with particular emphasis on counting techniques for geometric structures and stability properties of subgroup embeddings. Her 2024 thesis “Application des courants géodésiques à la géométrie des surfaces” established foundational connections between geodesic current theory and classical surface geometry. As an educator, she implements Federico Ardila’s teaching axioms through mathematics outreach projects and structured coursework in Euclidean geometry, probability, and computational mathematics using Python/Xcas. Her doctoral training at Université de Rennes under Juan Souto culminated in significant contributions to the geometric analysis of surface curves. She actively participates in research networks including the “Groups, Dynamics and Surfaces” conference series and maintains collaborative projects across European mathematical institutes through the Max Planck research framework.

Gunnar Fløystadمشاهده پروفایل

استاد

• Algebraic Geometry
• Commutative Algebra
• Combinatorics
• +۳ مورد دیگر

Gunnar Fløystad is a Professor in the Department of Mathematics at the University of Bergen. His research focuses on algebraic geometry, commutative algebra, combinatorics, and category theory. 2025: Polarizations of Artin monomial ideals 2024: Submodular functions, generalized permutahedra, and hypergraph bialgebras 2023: Shift modules, profunctors, and dualities Fløystad has led TMS-funded projects on pure mathematics in Norway and organized workshops such as 'Category theory at work in computational mathematics and theoretical informatics' (2023) and 'Kategoriteori i Norge' (2025). He has taught courses in linear algebra, commutative algebra, history of mathematics, and calculus.

Hu Dingمشاهده پروفایل

استاد

• Algorithms
• Computational Geometry
• Machine Learning
• +۴ مورد دیگر

Hu Ding is a pre-tenure Professor in the School of Computer Science and Engineering at the University of Science and Technology of China (USTC), where he directs the Data Intelligence, Algorithms, and Geometry (DIAG) research group. He previously held positions as a tenure-track Assistant Professor at Michigan State University (2016-2018) and a Simons-Berkeley Research Fellow jointly at Tsinghua University and UC Berkeley (2015-2016). Education: • Ph.D. in Computer Science, State University of New York at Buffalo (2015) • B.S. in Mathematics, Sun Yat-Sen University (2009) Research Interests: Hu Ding's research focuses on developing efficient algorithms for geometric optimization problems with applications in machine learning, big data, and biomedical imaging. His work bridges theoretical computer science (especially computational geometry) with practical challenges in distributed systems, outlier detection, and high-dimensional data analysis. Key areas include constrained clustering, truth discovery in crowdsourced data, and geometric methods for biomedical image analysis. Publication Trends: His recent publications demonstrate a strong focus on scalable algorithms for high-dimensional geometric optimization, particularly in distributed environments with noisy data. A consistent theme is developing theoretically-grounded solutions with practical efficiency, evidenced by work on sublinear-time algorithms, coreset constructions, and approximation frameworks for problems like k-center clustering and SVM optimization with outliers. Awards and Honors: Young Investigator Award, Ministry of Science and Technology (2021) Simons-Berkeley Research Fellowship (2015-2016) CCF Committee Member for Theoretical CS and Big Data (2021) Grants and Projects: USTC Innovation Group Grant: 'Toward Electronic Design Automation: Theories and Algorithms from AI' (2021) MOST Young Investigator Grant: 'Optimal Transportation in Medical Imaging' (3M RMB, 2021) Research Group: Leads the DIAG group with focus on geometric algorithms for data intelligence. Current team includes 6 PhD students and 15 Master's students working on problems in clustering, distributed optimization, and biomedical applications. Former students hold positions at Alibaba, ByteDance, and academic institutions.

Seth Meyerمشاهده پروفایل

استاد

• Combinatorics
• Linear algebra
• Discrete mathematics
• +۳ مورد دیگر

Seth Meyer is a Professor of Computer Science and Mathematics at St. Norbert College, where he has taught courses in mathematics, math education, and computer science since 2012. He emphasizes building strong student relationships and employs diverse assessment methods to support mathematical and personal development. Meyer has authored 13 research papers and mentored five undergraduate research projects. Education: B.A. in Mathematics and Computer Science (Carleton College) M.A. in Mathematics (University of Wisconsin-Madison) Ph.D. in Mathematics (University of Wisconsin-Madison) Research Focus: Meyer's work spans combinatorics, linear algebra, discrete mathematics, theoretical computer science, inverse problems, and mathematics education. His interdisciplinary approach often involves undergraduate collaborators and addresses challenges in pure and applied mathematics. Publication Trends: Recent articles (2016-2022) reflect a progression from linear algebra and matrix theory to behavioral economics and graph theory, demonstrating consistent emphasis on combinatorial optimization and mathematical modeling. Awards: Leonard Ledvina Outstanding Teacher Award Student Mentorship: Supervised five summer research projects in graph theory, representation theory, and behavioral economics. No grants are explicitly mentioned.

Karen Gundersonمشاهده پروفایل

دانشیار

• Graph theory
• Combinatorics
• Random graphs
• +۱۰ مورد دیگر

Karen Gunderson is an Associate Professor in the Department of Mathematics at the University of Manitoba's Faculty of Science. Her research spans graph theory, combinatorics, random graphs, percolation, hypergraphs, and extremal combinatorics. Research Focus : Graph theory, combinatorics, random graphs, percolation, hypergraphs, extremal combinatorics Academic Role : Associate Professor, Acting Associate Head Graduate Contact : Karen.Gunderson@umanitoba.ca , karen.gunderson@umanitoba.ca Her work includes bootstrap percolation , random geometric graphs , and extremal hypergraph problems , with applications in network modeling and probabilistic combinatorics. Recent publications focus on adversarial burning densities, Erdos-Ko-Rado robustness, and Turán numbers in switching contexts. Academic Leadership : Co-organizer of the University of Manitoba Combinatorics Seminar and key organizer for the 2023 CanaDAM conference and Movement & Symmetry in Graphs retreat.

Christoph Böhmمشاهده پروفایل

استاد

• Differential Geometry
• Geometric Evolution Equations
• Ricci Flow
• +۸ مورد دیگر

Christoph Böhm is a Professor at the Mathematical Institute, Department of Mathematics and Computer Science, University of Münster, Germany. He is a principal investigator in the Collaborative Research Center CRC 1442 "Geometry: Deformations and Rigidity" and a key member of the Excellence Cluster Mathematics Münster. His research lies at the intersection of differential geometry, geometric analysis, and dynamical systems, with a focus on Ricci flow, Einstein metrics, and geometric evolution equations. Research Interests: His work primarily explores Differential Geometry with deep focus on Ricci Flow , Homogeneous and Cohomogeneity-One Spaces , Einstein Manifolds , and Curvature Analysis . He investigates the long-term behavior of geometric flows, rigidity phenomena, and the interplay between symmetry and curvature. His projects such as "Geometric evolution equations" (CRC 1442 - B02) and "Harmonic maps and symmetry" (CRC 1442 - B04) reflect his interest in geometric PDEs under symmetry assumptions. He also contributes to understanding singular spaces and irregular gradient flows in geometric contexts. The recent publications highlight a consistent trend in homogeneous Ricci flows , non-compact Einstein manifolds , and scalar curvature behavior . These works demonstrate a strong emphasis on classification, existence, and optimal estimates in geometric evolution, often leveraging group actions and symmetry. The subfields span geometric PDEs, Lie group geometry, and variational methods. Scientific Awards: No specific awards are mentioned in the provided text. Advising and Grants: While no formal students are listed, Böhm has extensive collaborative research with mathematicians such as Ramiro Lafuente, Burkhard Wilking, Timothy Buttsworth, and Brian Clarke. He is actively involved in major funded projects including CRC 1442 (B02, B04), EXC 2044 (B1, C4), and a project on dynamical systems and irregular gradient flows. These grants support his research in geometric analysis and its connections to topology and mathematical physics. Labs and Teams: Böhm is part of the research group in differential geometry at the University of Münster, collaborating closely with Prof. Burkhard Wilking. He contributes to the broader Mathematics Münster cluster, which fosters interdisciplinary research in geometry, analysis, and topology. His work is integrated into a vibrant research environment focused on "Groups and actions", "Curvature, shape, and global analysis", and "Singularities and PDEs".

Metaftsis Vasileiosمشاهده پروفایل

استاد

• Geometric Group Theory
• Hyperbolic Groups
• Relatively Hyperbolic Groups
• +۴ مورد دیگر

Vasileios Metaftsis is a Professor at the Department of Mathematics, University of the Aegean, located in Karlovassi, Samos, Greece. His office is situated in the "Regal Mansion" building (Office B3), and he holds regular office hours Monday through Friday from 10:00 to 12:00. His primary contact email is vmet@aegean.gr. Education: Ph.D. in Mathematics from Heriot-Watt University, Edinburgh, Scotland B.Sc. in Mathematics from the University of Athens, Greece Research Focus: Professor Metaftsis specializes in Geometric Group Theory, with emphasis on hyperbolic and relatively hyperbolic groups, subgroup separability (LERF groups), residual properties (e.g., finiteness, nilpotence), Hopfian groups, linearity of groups, and Lie algebras associated with group structures. His work bridges combinatorial, geometric, and algebraic approaches to group theory. Publication Trends: His 25+ publications (2007–2022) predominantly explore residual properties of groups, automorphisms (especially IA-automorphisms), Lie algebras linked to McCool and Artin groups, HNN-extensions, and topological rigidity. Recent work (2020–2022) focuses on residual nilpotence and the interplay between group theory and Lie algebras. Collaborations include researchers like C. Kofinas and A.I. Papistas. Awards & Honors: No scientific awards or fellowships are documented in available sources. Academic Service: He actively contributes to academia through course instruction (Algebra, Galois Theory) and examination duties at the University of the Aegean. No information is available regarding student supervision, grant funding, or lab affiliations.

Shravan Veerapaneniمشاهده پروفایل

استاد

• Scientific computing
• Fast algorithms
• Potential theory
• +۱۰ مورد دیگر

Shravan Veerapaneni is a Professor in the Department of Mathematics at the University of Michigan, within the College of Literature, Science, and the Arts. His research focuses on developing large-scale computational tools for solving differential and integral equations on complex moving geometries that arise in engineering and biophysics. His work spans multiple interdisciplinary areas connecting mathematics, computational science, and applied physics. Education: B.S. from Indian Institute of Technology (2003), Ph.D. from University of Pennsylvania (2008) Previous Position: Research Scientist at Courant Institute of Mathematical Sciences (NYU), 2008-2011 Teaching: Courses include Math 671, Math 371 (Numerical Methods for Engineers), and Math 156 (Applied Honors Calculus II) Professor Veerapaneni's research interests encompass scientific computing, fast algorithms, potential theory, complex fluids, microfluidics, soft-matter, and biomechanics. His core application areas include biomembrane mechanics, blood flow modeling, cilia-driven flows, and microfluidic-chip design. More recently, he has expanded his research to include scalable solvers and machine learning techniques for autonomous vehicle mobility in off-road settings. His work demonstrates a strong emphasis on developing high-order accurate numerical methods with practical applications in biomedical engineering and fluid dynamics. His publications reveal a consistent focus on boundary integral methods, Stokes flow simulations, and optimization problems in complex geometries. The research shows progression from fundamental mathematical methods to increasingly complex applications in biophysics and engineering. His work on vesicle dynamics, microswimmers, and particulate suspensions demonstrates expertise in computational fluid dynamics at microscales. NSF CAREER Award (2015) for project 'Fast Algorithms for Particulate Flows' Professor Veerapaneni has developed computational frameworks for simulating complex fluid-structure interactions, with applications ranging from biological systems (vesicles, cilia) to engineering problems (microfluidic chips, autonomous vehicles). His group has produced significant software contributions including visualization tools for fluid dynamics simulations, as evidenced by the animations of vesicle flows on his website. His collaborative work spans mathematics, engineering, and computer science departments, reflecting the interdisciplinary nature of his research.