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Younghan BaeView profile

Academic

• Algebraic Geometry
• Moduli Spaces
• Calabi-Yau Manifolds
• +4 more

Younghan Bae is a Donald J. Lewis Research Assistant Professor at the University of Michigan's Department of Mathematics. He holds visiting fellow status at the Korea Institute for Advanced Study (KIAS). His research focuses on moduli spaces in algebraic geometry, including Calabi-Yau 4-folds, intersection theory, and Picard stacks. Bae completed his Ph.D. at ETH Zurich (2023) under Rahul Pandharipande, with prior degrees from Columbia University (M.S., 2018) and Seoul National University (B.S., 2017). Research emphases include Donaldson-Thomas theory, Gromov-Witten theory, and the study of moduli spaces of sheaves. His work bridges geometric and arithmetic aspects of algebraic structures. Recent papers explore DT/PT0 correspondences in Calabi-Yau geometries and Abel-Jacobi theory on Picard stacks. Organizational contributions include co-organizing Geometry meet physics: Calabi-Yau fourfolds and beyond and Moduli spaces of algebraic surfaces in Ann Arbor . His expository work includes a chapter in the KIAS Springer Series on sheaf counting theories.

• Complex Analysis
• Projective Geometry
• Harmonic Analysis
• +4 more

David Barrett is a Professor and Associate Chair for Education-Personnel & Curriculum at the Department of Mathematics , University of Michigan . His research focuses on complex analysis , projective duality , and function theory on complex domains . Education: Ph.D., University of Chicago (1982) Barrett's work explores the interplay between holomorphic function theory and geometric properties of complex hypersurfaces , particularly through the Leray transform and Bergman projection . He investigates projective duality and Levi-flat hypersurfaces , often collaborating with researchers like Luke Edholm and Dusty Grundmeier. His 15 most recent publications highlight advancements in complex geometry , harmonic analysis , and integral operator theory , with notable contributions to Bergman kernel behavior, holomorphic extension , and duality on complex domains . The work spans topics such as Fourier modes , conformal metrics , and topological properties of Levi-flat surfaces .

Sergey NorinView profile

Associate Professor

• Graph Theory
• Combinatorics
• Discrete Mathematics
• +4 more

Sergey Norin is an Associate Professor in the Department of Mathematics and Statistics at McGill University, specializing in Graph Theory and Combinatorics. His research focuses on structural graph theory, extremal problems, and combinatorial optimization, with a particular emphasis on graph minors, Ramsey numbers, and graph coloring. He contributes to theoretical advancements in discrete mathematics and their algorithmic applications. Recent work includes studies on sparse graphs, graph minors, and properties of hereditary families. His articles address topics like twin-width in random graphs, defective coloring, and asymptotic dimensions. Norin holds no listed awards but is active in publishing cutting-edge research in top-tier journals. No specific advising or grants are detailed in the provided information. His academic profile reflects a strong commitment to advancing combinatorial theory through rigorous mathematical analysis.

Noga AlonView profile

Professor

• Combinatorics
• Graph Theory
• Theoretical Computer Science
• +5 more

Noga Alon is a Professor of Mathematics at Princeton University, affiliated with the Mathematics Department. He is renowned for his contributions to Combinatorics, Graph Theory, and Theoretical Computer Science. His research emphasizes algebraic and probabilistic methods, with applications in circuit complexity and combinatorial geometry. Education & Affiliations Current position: Professor at Princeton University. Active in the Princeton Discrete Mathematics Seminar and has led conferences like the Noga60 Birthday Conference. Research Interests Focus areas include Combinatorics (e.g., Ramsey Theory, Graph Coloring), Theoretical Computer Science (e.g., Algorithms, Complexity), and probabilistic and algebraic methods in discrete mathematics. His work bridges combinatorial structures and algorithmic applications, with contributions to expander graphs, randomized algorithms, and extremal graph theory. Publications Over 300 papers, including foundational work on the probabilistic method, expander graphs, and combinatorial algorithms. Notable recent topics include graph coloring, path-finding algorithms (e.g., Color-coding), and spectral techniques for graph problems. Grants & Awards No specific grants or awards listed in available texts, though his academic stature implies prestigious recognition in combinatorics and computer science. Labs & Collaborations Involved in collaborative research through Princeton’s Mathematics Department and international conferences. Leads seminars and co-authors work with prominent researchers like M. Naor, J. Spencer, and others.

• Finite Groups
• Algebraic Groups
• Representation Theory
• +3 more

Robert Guralnick is a Professor of Mathematics at the University of Southern California’s Dornsife College of Letters, Arts and Sciences. His research focuses on finite and algebraic groups, representation theory, and arithmetic algebraic geometry. He has made significant contributions to understanding group structures, character theory, and subgroup dynamics in both finite and algebraic contexts. His work spans advanced topics such as Sylow subgroup analysis, commutator properties, and probabilistic group generation. Recent studies include investigations into invariable generation in simple groups and generic stabilizers in algebraic group actions. Guralnick’s research often bridges abstract group theory with geometric and topological methods, addressing foundational questions in algebraic structures. His publications highlight interdisciplinary approaches to group theory, including applications to cohomology, combinatorics, and representation theory. Despite no explicit mention of awards, his extensive publication record reflects sustained academic impact in pure mathematics. Guralnick’s advising and grant activities are not detailed here, though his prolific research output suggests active mentorship and funding support. No specific lab affiliations or teams are noted in the provided texts.

Jürgen HausenView profile

Professor

• Algebraic Geometry
• Combinatorial Algebraic Geometry
• Toric Varieties
• +3 more

Prof. Dr. Jürgen Hausen is a Professor in the Department of Mathematics at Eberhard Karls University of Tübingen, specializing in Algebraic Geometry with a focus on toric varieties, Cox rings, and geometric invariant theory. His research explores combinatorial structures in algebraic geometry, including the classification of algebraic varieties with torus actions, log del Pezzo surfaces, and Fano varieties. He has developed influential software tools like TorDiv for computations in toric geometry. His work bridges abstract algebraic theory with practical computational methods, contributing to the understanding of geometric structures and their applications. Key Research Themes: Toric varieties, Cox rings, geometric invariant theory, Fano varieties, and polyhedral divisors. Software Contributions: TorDiv (Maple package), compcox (Singular package), and MDS (Maple package for Mori dream spaces). Education: Extensive academic career with a focus on algebraic geometry, including foundational work on Mori dream spaces and the theory of Cox rings. His publications span over three decades, addressing topics such as degenerations of projective planes, automorphism groups of varieties, and the interplay between algebraic geometry and combinatorics. He actively contributes to teaching, authoring textbooks like Lineare Algebra I & II , and offers open-access course materials and video lectures.

Mark MeckesView profile

Professor

• Geometry of Metric Spaces
• High Dimensional Probability
• Random Matrix Theory
• +3 more

Mark Meckes is a Professor at Case Western Reserve University, affiliated with the Department of Mathematics, Applied Mathematics, and Statistics within the College of Arts and Sciences. His research focuses on Geometry of Metric Spaces and High-Dimensional Probability, with contributions to topics like metric magnitude, convex bodies, and random matrix theory. He is reachable via mark.meckes@case.edu . His research interests delve into the geometric and probabilistic structures of metric spaces, including intrinsic volumes, spectral analysis, and applications to quantum mechanics and ecology. Recent work explores extremal metric spaces, fluctuations in random matrix ensembles, and quenched limits in stochastic models. Publications since 2015 highlight trends in random matrix theory, geometric measure theory, and interdisciplinary applications. Notable topics include the circular law for complex Ginibre ensembles, self-similarity in unitary ensembles, and biodiversity optimization. No scientific awards are explicitly listed in the provided material. Advising and grant details are not specified, though his work suggests active participation in academic mentorship. No lab or team affiliations are noted here.

Jan TechterView profile

Professor

• Geometry
• Differential Geometry
• Discrete Differential Geometry
• +3 more

Jan Techter is a Professor at TU Berlin's Institute of Mathematics, specializing in Geometry and Mathematical Physics. He leads the research group AG Geometrie und mathematische Physik and is affiliated with the SFB/TRR 109 project on discretization in geometry and dynamics. His research focuses on discrete differential geometry, Laguerre geometry, and incircular nets. Education: Bachelor of Science in Mathematics (2013) Master of Science in Mathematics (2015) PhD in Mathematics (2020) Research Interests: Jan Techter explores geometric structures such as confocal quadrics, checkerboard incircular nets, and discrete parametrized surfaces. His work bridges continuous and discrete geometries, emphasizing integrable systems and Laguerre geometry. Recent projects include studies on principal binets and Koenigs binets. Awards & Recognition: No scientific awards explicitly listed in the text. Advising & Grants: Supervised over a dozen student theses, including master's and bachelor's projects on topics like pencils of quadrics, Laguerre geometry, and discrete channel surfaces. Collaborates on research grants through TU Berlin and the SFB/TRR 109 initiative. Labs & Tools: Co-developed the DGD Gallery for digital research data and the pyddg geometry library. Produced visualizations such as the Koebe polyhedra and minimal surfaces short movie.

Francesco FedeleView profile

Associate Professor

• Nonlinear Wave Phenomena
• Coastal and Ocean Engineering
• Fluid Mechanics
• +11 more

Francesco Fedele is an Associate Professor at Georgia Tech, concurrently affiliated with the School of Civil and Environmental Engineering and the School of Electrical and Computer Engineering. He holds a Ph.D. in Civil Engineering from the University of Vermont (2004) and a Laurea (magna cum laude) from the University Mediterranea, Italy (1998). His research spans nonlinear wave phenomena, coastal engineering, fluid mechanics, and sustainable ocean energy, with a focus on rogue waves, stereo imaging, and computational methods. His work has been published in high-impact journals like Physical Review Letters and IEEE Transactions series. Research Interests include wave turbulence, signal processing for biomedical and radar applications, and mathematical modeling of tidal energy systems. Notable contributions involve analyzing extreme waves in the Mediterranean and North Sea, contributing to maritime safety and hurricane impact studies. Publications reflect expertise in fluid dynamics, oceanography, and computational methods. Recent work addresses the geometrical phases of nonlinear systems and interval-based finite element analysis under uncertainty. His research has been featured in Georgia Tech news for applications in rogue wave prediction and structural engineering. Dr. Fedele’s academic positions and collaborations include postdoctoral research at NASA Goddard Space Flight Center (pre-Georgia Tech tenure). No specific awards are explicitly listed in the provided text, though his work has garnered media attention for its societal impact.

Chikako MeseView profile

Professor

• Differential Geometry
• Geometric Analysis
• Teichmüller Theory
• +5 more

Chikako Mese is a Full Professor in the Department of Mathematics at Johns Hopkins University (JHU), part of the Krieger School of Arts & Sciences. She served as Department Chair (2008-2011) and Director of the Graduate Program (2014-2017, 2018-2019). Her research focuses on differential geometry and geometric analysis , with contributions to harmonic maps, Teichmüller theory, and CAT(k) spaces. She holds a PhD from Stanford University (1996), advised by Richard Schoen. Education: PhD in Mathematics, Stanford University, 1996 M.S., Stanford University, 1993 B.S. in Mathematics & Physics, University of Dayton, 1991 (Summa Cum Laude) Research Interests: Mese explores geometric structures in singular spaces, harmonic maps, and applications to Teichmüller theory. Her work bridges differential geometry with analysis of metric spaces, addressing questions of rigidity, regularity, and variational problems. Notable areas include CAT(k) spaces, minimal surfaces, and Higgs bundles in geometric group theory. Grants & Awards: Fellow of the American Mathematical Society (AMS) Simons Fellowship (2017-2018) Multiple NSF DMS grants (2003–2023) for geometric analysis research Woodrow Wilson Career Enhancement Fellowship (2001-2002) Advising & Mentoring: Mese has advised doctoral students including Benjamin Dees (current), Duncan Sinclair (2014), Jonathan Dahl (2010), and Patrick Zulkowski (2009). She mentors junior faculty and leads research groups in minimal submanifolds at workshops like the Women in Geometry series (Banff 2015, Oaxaca 2019). Labs/Teams: Collaborates with leading institutions globally (e.g., Brown University, CNRS, Tohoku University) on projects involving geometric rigidity, harmonic maps, and moduli spaces. Active in editorial roles, including Notices of the AMS.

Lars Moberg SalbuView profile

Research Fellow

• Computational Geometry
• Algebraic Topology
• Parameterized Complexity
• +3 more

Lars Moberg Salbu is a Postdoctoral Fellow at the Department of Informatics, University of Bergen. His research focuses on computational geometry, algebraic topology, and parameterized complexity, with contributions to graph theory, metric analysis, and algorithm design. He has collaborated with institutions such as the Department of Mathematics and Department of Computer Technology at Western Norway University of Applied Sciences. His work bridges theoretical mathematics and computer science, addressing challenges in topological data analysis and combinatorial optimization. Key publications include studies on transition graph dynamics, minimum bounded chains, and homology determination from data samples. Salbu’s research emphasizes interdisciplinary approaches, leveraging discrete mathematics and geometric principles to solve complex computational problems. No scientific awards are listed, but his active participation in international journals like IEEE Access and Mediterranean Journal of Mathematics highlights his academic contributions. Collaborations with co-authors such as Morten Brun and Belen Garcia Pascual underscore his collaborative approach to advancing theoretical frameworks in his field.

Peter WinklerView profile

Professor

• Discrete Mathematics
• Probability Theory
• Combinatorics
• +2 more

Peter Winkler is William Morrill Professor of Mathematics and Computer Science at Dartmouth College, conducting research in discrete mathematics, probability, and theoretical computer science. His work connects combinatorial problems with statistical physics and algorithmic complexity. Key research areas include: Probabilistic methods in combinatorics and game theory Phase transitions in discrete structures Geometric probability and optimization Mathematical puzzles and paradoxes Winkler's publications resolve fundamental questions in pursuit-evasion theory, geometric set optimization, and combinatorial phase transitions. His work on mathematical puzzles has influenced both academic research and popular mathematics. Current projects explore limit permutations, abelian networks, and new puzzle collections. Honored with the Mathematical Association of America's Lester R. Ford Award and David P. Robbins Prize, Winkler has held visiting positions at the Institute for Advanced Study and Mathematical Sciences Research Institute.

Rob SilversmithView profile

Lecturer

• Algebraic Geometry
• Moduli Spaces
• Tropical Geometry
• +7 more

Rob Silversmith is a Warwick Zeeman Lecturer in the Warwick Mathematics Institute at the University of Warwick, with a focus on algebraic geometry and combinatorics. Starting Fall 2025, he will transition to an Assistant Professor role at Emory University. His academic journey includes a Ph.D. from the University of Michigan (2017), advised by Yongbin Ruan, and postdoctoral positions at Northeastern University and the Simons Center for Geometry and Physics. His research interests span algebraic geometry—particularly moduli spaces of curves, tropical geometry, and combinatorial structures—as well as connections to string theory, geometric rigidity, and dynamics. Key contributions include work on Gromov-Witten invariants, cross-ratio degrees, and the T-graph of Hilbert schemes. His recent publications (2021–2025) explore topics such as moduli spaces, tropical geometry, and combinatorial algebraic geometry, reflecting a blend of geometric and computational methods. Notable collaborations include work with R. Cavalieri, T. Kelly, and R. Ramadas on projects like Genus-zero r-spin theory and Equations at infinity for critical-orbit-relation families of rational maps . Rob has advised no listed graduate students but has contributed to interdisciplinary projects involving computer-aided conjecture-making. His scholarly activities include organizing seminars and maintaining an active presence in geometric research communities. He is affiliated with the Warwick Mathematics Institute and holds a position in the Zeeman Building. His work frequently intersects with combinatorial and computational approaches to algebraic geometry, emphasizing explicit polynomial constructions and data-driven conjectures.

• Differential Geometry
• Geometric Analysis
• Partial Differential Equations
• +5 more

Lu Wang is a Professor of Mathematics at Yale University, based in the Department of Mathematics. She holds a PhD from MIT (2011), advised by Tobias H. Colding. Prior to Yale, she held positions at institutions including MSRI, Johns Hopkins University (JHU), Imperial College London, University of Wisconsin-Madison (UW-Madison), Institute for Advanced Study (IAS), and Caltech. Research Interests: Professor Wang specializes in differential geometry, geometric analysis, and partial differential equations, with a focus on geometric flows (mean curvature flow, Ricci flow, harmonic map heat flow) and minimal surfaces. Her work explores self-similar solutions (solitons), asymptotic structure of singularities, and applications of entropy theory pioneered by Colding-Minicozzi. Current investigations include entropy-driven dynamics in geometric flows and topological properties of self-expanders and shrinkers. Publications: Her research output highlights studies on entropy stability, uniqueness of solitons, and moduli spaces of self-expanders/shrinkers. Recent work emphasizes geometric flows' role in connecting analysis, topology, and geometry, with contributions to entropy-minimizing solutions and asymptotic behavior analysis. Over 20 peer-reviewed articles demonstrate her expertise in geometric analysis. Lab/Team: No lab/team explicitly mentioned, though her research likely involves collaborations in geometric analysis networks.

• Theoretical Computer Science
• Algorithms and Data Structures
• Computational Geometry
• +5 more

Raimund Seidel is a Professor in the Department of Computer Science at Universität des Saarlandes, leading the Chair of Theoretical Computer Science. He is actively involved in research and teaching, focusing on foundational aspects of algorithms and data structures, particularly in computational geometry. His primary research interests include theoretical computer science , design and analysis of efficient algorithms , geometric data structures , randomized algorithms , and combinatorial geometry . His work addresses fundamental problems such as planar point location, convex hull computation, and efficient encoding of triangulations. He also investigates geometric algorithms under the transdichotomous model, leveraging word-level parallelism. The selected publications reflect a long-standing contribution to computational geometry and data structure theory , with a focus on randomized methods and exact complexity analysis. His research combines theoretical rigor with practical implications for algorithm design. Award or honor not found in the provided text. Prof. Seidel has advised several students, including Alexander Malkis , Ralf Osbild , Udo Adamy , Christian Sohler , and others, many of whom have gone on to academic and research careers. No explicit information about grants or funding is available in the text. He leads a research group within the Department of Computer Science at Universität des Saarlandes, mentoring current staff such as László Kozma , Giorgi Nadiradze , and Lavinia Dinu . The group maintains active research in theoretical computer science and computational geometry.