جست‌وجوی استاد و پژوهشگر

• Indigeneity
• Settler Colonialism
• Race Studies
• +۶ مورد دیگر

Maile Arvin is a Kanaka Maoli feminist scholar and Assistant Professor at the Department of Ethnic Studies, University of Hawaiʻi at Mānoa. Her research and teaching focus on Indigenous relationships to land, histories of race and settler colonialism in Hawaiʻi, Oceania, and the United States. Previously, she was faculty in History and Gender Studies at the University of Utah and founding director of the Center for Pasifika Indigenous Knowledges. PhD in Ethnic Studies, University of California San Diego (2013) MA in Ethnic Studies, University of California San Diego (2009) BA in English, Swarthmore College (2005) Her research examines: Colonial production of racial categories, particularly Polynesians as an 'almost white race' in historical social science History of incarceration of Native Hawaiian children in government institutions (1865–1960s) Intersection of settler colonialism and Indigenous feminisms Critique of eugenics and genomic studies in the Pacific Community-engaged memorialization projects in Hawaiʻi Recent scholarly trends include analyses of Indigenous sovereignty, critiques of settler colonial whiteness, and interdisciplinary studies of race-gender dynamics. Arvin's publications explore Polynesian racialization, decolonial feminism, and the socioeconomic impacts of colonial institutions. NEH Chair's Grant for Nā Lei Poina ʻOle ACLS Digital Justice Seed Grant Arvin leads Nā Lei Poina ʻOle (Beloved Children Never Forgotten), a community history project about reformatories and industrial schools in Hawaiʻi. In collaboration with Kawela Farrant and the North Shore Community Land Trust, this project uses archival and oral histories to confront the legacy of child incarceration. She also critiques the nonprofit-industrial complex's role in limiting Indigenous sovereignty.

• Algebraic Geometry
• Arithmetic Geometry
• Number Theory
• +۵ مورد دیگر

Prof. Peter Scholze is a leading mathematician at the Max Planck Institute for Mathematics in Bonn, specializing in algebraic geometry and arithmetic geometry. He holds the academic rank of Professor and is part of the Arbeitsgruppe Algebraische Geometrie und Darstellungstheorie. His research focuses on foundational questions in algebraic geometry, number theory, and representation theory, particularly through the lens of the Langlands program, p-adic Hodge theory, and perfectoid spaces. Scholze has pioneered geometric approaches to the local Langlands correspondence and introduced revolutionary concepts like prismatic cohomology and condensed mathematics. He actively contributes to academia through advanced courses on topics such as geometrization of the Langlands program, étale cohomology, and condensed mathematics. His work bridges algebraic geometry with representation theory, addressing fundamental problems in arithmetic geometry and p-adic analysis. Scholze’s research outputs include seminal papers on perfectoid spaces, prismatic cohomology, and the geometrization of local Langlands correspondence. He collaborates extensively with leading mathematicians globally, contributing to collaborative research initiatives like the ARGOS seminar and the Habiro ring project. His teaching engagements include advanced lectures on algebraic geometry, representation theory, and p-adic geometry, reflecting his commitment to training the next generation of researchers. Despite no explicitly listed awards in the provided text, Scholze is widely recognized as a Fields Medalist (2018) and a leading figure in modern mathematics.

Gary Froylandمشاهده پروفایل

استاد

• Dynamical Systems
• Machine Learning
• Optimisation
• +۱۲ مورد دیگر

Scientia Professor Gary Froyland is a Professor at the University of New South Wales (UNSW), affiliated with the School of Mathematics & Statistics. He leads the ARC Laureate Centre for Dynamical Systems and Data and holds an Einstein Visiting Fellowship from the Einstein Foundation Berlin. His academic credentials include a BSc (Hons 1, Medal) in Pure and Applied Mathematics from the University of Queensland and a PhD in Mathematics from the University of Western Australia. Professor Froyland's research spans two primary domains: dynamical systems and optimization. In dynamical systems, he investigates the interplay of probability and geometry in nonlinear and chaotic systems, employing tools from ergodic theory, functional analysis, and differential geometry. His work extends to applications in oceanography, atmospheric science, and granular flows. In optimization, he focuses on decision-making in complex systems with uncertain information, developing novel approaches in mathematical programming that have been applied to mining, logistics, and medical treatment planning. His recent publications demonstrate a strong focus on coherent structures in dynamical systems, linear response theory, and applications to geophysical phenomena. The research shows increasing interdisciplinary collaboration, particularly with climate scientists and data analysts, reflecting a trend toward applying advanced mathematical techniques to real-world problems in environmental science and engineering. J.D. Crawford Prize (2025) Elected Member of the Academy of Europe / Academia Europaea (2024) ARC Laureate Fellow (2024-2029) Fellow of the Society for Industrial and Applied Mathematics (SIAM) (2021) Fellow of the Australian Academy of Science (2020) Vice-Chancellor's Award for Teaching Excellence - Postgraduate Research Supervision (2015) Professor Froyland actively supervises PhD and honors students, with current advisees including Kevin Felipe Kühl Oliveira, Nicholas Peters, and Kathrin Völkner. His research is supported by multiple grants, including an ARC Laureate Fellowship (2024-2029) for "Breakthrough mathematics for dynamical systems and data," an Einstein Visiting Fellowship (2022-2026), and several ARC Discovery Projects. His work has practical applications in climate science, mining optimization, and medical treatment planning, particularly in radiotherapy. He leads the ARC Laureate Centre for Dynamical Systems and Data, which brings together researchers to develop new mathematical approaches for analyzing complex dynamical systems. The center focuses on creating methods to identify coherent structures in spatiotemporal data, with applications spanning environmental science, social science, health science, and engineering.

Jason Liمشاهده پروفایل

استادیار

• Fast Graph Algorithms
• Algorithm Design
• Minimum Cut Problems
• +۶ مورد دیگر

Jason Li is an Assistant Professor in the Department of Computer Science at Carnegie Mellon University's School of Computer Science. He teaches advanced algorithms courses including 15-754 Spectral Graph Theory (Spring 2025), 15-451 Design and Analysis of Algorithms (Fall 2024), and 15-850 Advanced Algorithms (Spring 2024). His research focuses on fast graph algorithms , particularly solving longstanding open problems through modern algorithmic techniques. Key research themes include preconditioning and locality , which serve as reductions from worst-case to well-behaved and local instances respectively. His work has produced breakthroughs in deterministic global minimum cut algorithms, all-pairs minimum cut (Gomory-Hu trees), and near-optimal parallel shortest path algorithms. Analysis of his recent publications reveals a consistent trend toward almost-linear time algorithms for fundamental graph problems, with significant contributions to dynamic graph algorithms, minimum cut variants, and parallel computation. His work frequently appears in top venues including STOC, FOCS, and SODA, often with multiple best paper recognitions. EATCS Distinguished Dissertation Award (2021) Best Paper Award at SODA 2024 Invited to HALG 2024 Invited to TALG and JACM for SODA 2024 paper Machtey Best Student Paper at FOCS 2019 Professor Li actively advises graduate students including Henry Fleischmann and George Li. His research is supported by collaborations with leading institutions and frequent invitations to present at major conferences. He maintains an open-door policy for CMU students and collaborators, though notes the high volume of research inquiries he receives weekly.

Richard Hindمشاهده پروفایل

استاد

• Differential Geometry
• Symplectic Geometry
• Complex Manifolds
• +۳ مورد دیگر

Richard Hind is a Professor in the Department of Mathematics at the University of Notre Dame, part of the College of Science. He holds a B.A. from Cambridge University (1992) and a Ph.D. from Stanford University (1997). His research focuses on differential geometry, particularly complex and symplectic geometry, with an emphasis on the interplay between Riemannian metrics and canonical geometric structures. His work explores symplectic embeddings, Lagrangian submanifolds, and geometric rigidity, utilizing pseudoholomorphic curves as a key tool. Key research areas include symplectic packing problems, Stein manifolds, and the topology of symplectic manifolds. Recent work addresses symplectic barriers, packing stability, and geometric invariants of ellipsoids. His publications span journals like Geom. Funct. Anal., Duke Math. J., and Invent. Math., often collaborating with leading researchers in the field. Teaching includes MATH 10270: Mathematics in Architecture, linking geometric principles to historic structures. Professional roles include service on editorial boards and contributions to conferences. Office: 238 Hayes-Healy Bldg, Email: rhind@nd.edu and hind.1@nd.edu.

Steffen Dereichمشاهده پروفایل

استاد

• Stochastic Processes
• Machine Learning
• Deep Learning
• +۴ مورد دیگر

Professor Steffen Dereich is a leading researcher in mathematical stochastics at the University of Münster's Faculty of Mathematics and Computer Science, where he serves as Professor at the Institute of Mathematical Stochastics. He is an active investigator in the Mathematics Münster cluster of excellence, contributing significantly to the fields of stochastic processes and machine learning theory. His primary research interests span Stochastic Processes , Machine Learning , Deep Learning , Complex Networks , and Stochastic Analysis . Dereich has developed a unique research program that bridges classical probability theory with modern machine learning challenges, particularly focusing on the mathematical foundations of optimization algorithms used in deep learning. His work on stochastic gradient descent methods, especially the Adam optimizer, has provided crucial theoretical insights into convergence properties and optimization landscapes. The 15 most recent publications reveal a strong trend toward mathematical analysis of deep learning, with approximately 70% of his work focusing on neural network optimization, convergence analysis, and theoretical foundations of machine learning algorithms. The remaining publications continue his earlier work on complex networks, stochastic processes, and branching structures, demonstrating how he has successfully connected his foundational work in probability with cutting-edge machine learning research. Professor Dereich actively supervises PhD students and maintains productive collaborations, particularly with Arnulf Jentzen and Sebastian Kassing. His research group at Münster has secured significant funding through the Mathematics Münster cluster, supporting multiple projects including T8: Random discrete structures and their limits, and T10: Deep learning and surrogate methods. His teaching portfolio includes advanced courses on Probability Theory, Stochastic Analysis, Markov Chains, and specialized seminars on Machine Learning and Financial Mathematics, reflecting his dual expertise in theoretical mathematics and applied data science.

• graph algorithms
• optimization
• high-dimensional geometry
• +۳ مورد دیگر

Yang P. Liu is an Assistant Professor in the Computer Science Department at Carnegie Mellon University's School of Computer Science. Previously, he was a Postdoctoral Member at the Institute for Advanced Study and earned his PhD from Stanford University under the supervision of Aaron Sidford. He completed his undergraduate studies at MIT, graduating in May 2018. His educational background includes: PhD in Computer Science, Stanford University (Advisor: Aaron Sidford) Bachelor's degree, Massachusetts Institute of Technology (graduated May 2018) Dr. Liu's research spans the intersection of mathematics and computer science, with particular focus on graph algorithms , optimization , high-dimensional geometry , and additive combinatorics . His work often develops novel algorithmic techniques that bridge theoretical insights with practical applications. He has made significant contributions to areas such as convex optimization, linear programming, and combinatorial problems. His teaching includes courses like "A Principled Approach to Optimization" (CS 15-759), which covers rigorous treatments of convex optimization topics including gradient descent, interior point methods, linear regression, linear programming, and sparsification. His extensive publication record in top-tier conferences (FOCS, STOC, SODA) demonstrates a consistent focus on developing almost-linear time algorithms for fundamental graph problems, optimization techniques, and combinatorial theorems. Recent work shows increasing emphasis on combinatorial lines, corners theorem, and k-CSP approximability, while maintaining strong connections to optimization theory and graph algorithms. Dr. Liu has received notable recognition for his work: National Defense Science and Engineering Graduate (NDSEG) Fellowship (2018-2021) Google PhD Fellowship (2022-2023) Best Paper award at FOCS 2022 for "Maximum Flow and Minimum-Cost Flow in Almost Linear Time" Best Student Paper at STOC 2021 for "Discrepancy Minimization via a Self-Balancing Walk" His research has been supported by prestigious fellowships including the NDSEG Fellowship and Google PhD Fellowship. His work on graph algorithms, optimization, and combinatorics involves collaborations with researchers across theoretical computer science and mathematics. His publications often involve co-authors from multiple institutions, suggesting active research collaborations across the field. Dr. Liu maintains an active research program with a focus on developing efficient algorithms for fundamental computational problems. His recent work continues to push the boundaries of what's computationally feasible in graph algorithms, optimization, and combinatorial mathematics, with particular emphasis on achieving almost-linear time complexity for challenging problems.

• Differential Geometry
• Complex Geometry
• Geometric Structures on Manifolds
• +۴ مورد دیگر

Anna Fino is a Full Professor at the Department of Mathematics, University of Turin. Her research focuses on differential and complex geometry, particularly geometric structures on manifolds such as nilmanifolds, solvmanifolds, G₂-structures, and Hermitian manifolds. She has contributed to studies on special metrics (balanced, SKT, Calabi-Yau), holonomy groups, cohomology theories, and geometric flows like the Laplacian flow for G₂-structures. Her work often intersects with algebraic topology and geometric analysis, addressing topics such as tamed symplectic structures, Ricci solitons, and invariant geometric properties on homogeneous spaces. Recent activities include organizing conferences on differential geometry and participating in international collaborations. Key research themes include: Geometric structures on nilpotent and solvable Lie groups Special holonomy and calibrated geometries Hermitian and almost complex manifolds Cohomological aspects of complex and symplectic manifolds Her publications frequently explore interplays between differential geometry and algebraic structures, with applications to geometric flows and classification problems.

Alexander Tumanovمشاهده پروفایل

استاد

• Several Complex Variables
• Differential Geometry
• Partial Differential Equations
• +۳ مورد دیگر

Professor Alexander Tumanov is a faculty member in the Department of Mathematics at the University of Illinois at Urbana-Champaign, affiliated with the College of Liberal Arts & Sciences. He holds the rank of Professor and has been active in research and teaching since at least 2000. His current teaching includes Math 220 Calculus in Fall 2025. Education & Affiliations: His academic career is deeply rooted at the University of Illinois, with no indications of former roles or retirement status. Research Interests: Tumanov specializes in Several Complex Variables, Differential Geometry, and Partial Differential Equations. His work explores topics such as CR mappings, stationary discs, pseudoholomorphic curves, symplectic geometry, and nonlinear PDEs. Notable contributions include studies on automorphism groups of bounded domains, boundary value problems, and applications of Gromov's methods in symplectic topology. Publications: His recent work (2025–2013) focuses on advanced topics like non-linear Lie groups, q-convex manifolds analysis, outer billiards dynamics, and symplectic non-squeezing in infinite dimensions. Earlier contributions include boundary regularity for elliptic equations and minimal energy configurations on spheres. Awards & Grants: No specific awards are listed in the provided materials, though his extensive publication record reflects sustained scholarly impact. No grants or advising data are explicitly mentioned. Labs & Teams: Tumanov collaborates extensively with researchers like A. Sukhov, L. Baracco, and B. Coupet, as evidenced by co-authored papers. His work intersects pure mathematics with geometric analysis and mathematical physics.

• symplectic geometry
• algebraic geometry
• Lie theory
• +۴ مورد دیگر

Chris Woodward is a Distinguished Professor and Chair of the Department of Mathematics at Rutgers University (New Brunswick). He maintains an active research program in symplectic and algebraic geometry, Lie theory, gauge theory, and mathematical physics. Woodward serves as an associate editor for Selecta Mathematica and organizes the Rutgers symplectic seminar, which focuses on current developments in symplectic geometry. Woodward's research primarily centers on symplectic geometry with particular emphasis on Floer theory, mirror symmetry, and connections to mathematical physics. His work bridges geometric analysis with algebraic structures, exploring deep connections between symplectic topology and quantum field theory. He has made significant contributions to understanding the mathematical structures underlying string theory through rigorous geometric frameworks, with recent work focusing on immersed Lagrangians, tropical geometry applications, and quantum cohomology. Analysis of Woodward's recent publications reveals a cohesive research trajectory with increasing sophistication in handling complex geometric structures. His work consistently explores the connections between symplectic geometry, algebraic geometry, and mathematical physics, demonstrating how techniques from one field can solve problems in another. Recent papers show particular innovation in extending Floer theory to immersed settings and developing connections between tropical geometry and symplectic topology. Woodward has advised numerous graduate students who have secured positions at Stanford University, Pennsylvania State University, Yale University, and Columbia University His undergraduate research mentorship program has produced students who continued to top graduate programs He has mentored junior faculty members including Matt Leingang (now at NYU), Eduardo Gonzalez (now at University of Massachusetts Boston), and Yuhan Sun (now at Imperial College) Woodward leads the Rutgers symplectic geometry research group and has organized significant workshops including the Recent Developments in Lagrangian Floer theory workshop at the Simons Center for Geometry and Physics (held in March 2022 after pandemic delay) and is co-organizing a workshop at Harvard's CMSA in Fall 2026 with Denis Auroux and Jonny Evans. His research group maintains strong connections with international symplectic geometry communities.

• Symplectic geometry
• Algebraic geometry
• Moduli spaces
• +۵ مورد دیگر

Christopher Woodward is a Professor of Mathematics and Acting Department Chair at Rutgers University . His research focuses on symplectic and algebraic geometry , moduli spaces , Lie groups , and mathematical physics . He actively contributes to Floer theory , quantum cohomology , and symplectic topology , with recent work on Lagrangian surgery and tropical Lagrangians . Woodward has mentored numerous PhD students and postdocs , including Yuka Taylor , Sikimeti Mau , Reza Rezazadegan , and Yuhan Sun . He serves as an associate editor for Selecta Mathematica and organizes academic events like the Rutgers symplectic seminar and workshops on Lagrangian Floer theory at institutions such as the Simons Center and Harvard's CMSA .

Jared Duker Lichtmanمشاهده پروفایل

استادیار

• Number Theory
• Analytic Number Theory
• Multiplicative Number Theory
• +۳ مورد دیگر

Jared Duker Lichtman is a Szegö Assistant Professor at Stanford University's Department of Mathematics, beginning in the 2024-25 academic year. Previously, he served as an NSF Postdoctoral Fellow at Stanford under Prof. Kannan Soundararajan. He completed his PhD at the University of Oxford in 2023, focusing on multiplicative number theory. His research centers on prime number distribution, multiplicative structures, and analytic number theory. Notably, he established a world record in studying primes' distribution within arithmetic progressions. His work bridges classical number theory with modern techniques like sieve methods and L-function analysis. Jared's publications explore topics such as the abc conjecture, twin primes, and Erdős problems. While no formal awards are listed, his groundbreaking contributions to prime distribution and multiplicative number theory mark him as a rising star in the field. His academic trajectory includes a focus on primes in arithmetic progressions, Goldbach conjecture extensions, and probabilistic number theory applications. Ongoing research likely continues this trajectory, with potential implications for cryptography and additive number theory.

Guangbo Xuمشاهده پروفایل

دانشیار

• Symplectic Geometry
• Gauge Theory
• Mathematical Physics
• +۳ مورد دیگر

Guangbo Xu is an Associate Professor in the Department of Mathematics at Rutgers University. He is actively involved in research within symplectic geometry and related fields. Affiliation: Department of Mathematics, Rutgers University Contact: gx49@math.rutgers.edu Research Interests: His work focuses on advanced topics in symplectic geometry, gauge theory, and quantum field theory, addressing problems in Floer homology, Gromov-Witten invariants, and moduli spaces of holomorphic curves. Recent Publications: Guangbo Xu's recent publications explore the intersection of symplectic geometry with theoretical physics, particularly the Gauged Linear Sigma Model (GLSM), virtual cycles, and cohomological splitting. His studies also delve into gluing techniques for vortices and the adiabatic limit of geometric equations. Grants: He is currently supported by an NSF grant (DMS-2345030) for his research. Organizational Roles: Xu co-organizes the Rutgers Symplectic Seminar and contributes to symplectic summer school events.

Nansen Petrosyanمشاهده پروفایل

استاد

• Geometric Group Theory
• Topology
• Algebra
• +۱ مورد دیگر

Nansen Petrosyan is a Professor at the University of Southampton's Mathematical Sciences department. He serves as the Programme Lead for single honours programmes in Mathematics. His academic career includes a position as a lecturer at the University of Southampton since 2013, following a postdoctoral fellowship with the Flemish Science Foundation (FWO) at the University of Leuven, Belgium. Professor Petrosyan's research focuses on: Geometric Group Theory Topology Algebra Geometry His current research explores group theoretic Dehn fillings, L^2-Betti numbers, L-infinity cohomology, cohomological characterizations of non-positive curvature, and splittings of groups. His work demonstrates a strong connection between geometric structures and algebraic properties of groups. Professor Petrosyan's recent publications show a consistent focus on geometric aspects of group theory and topology, with particular emphasis on theoretical investigations in manifold theory and geometric structures. His research output has been consistently strong over the past decade with multiple publications in high-impact journals. His scientific achievements have been recognized with: The Emil Artin Junior Prize in Mathematics (2008) Professor Petrosyan is actively involved in academic supervision and currently mentors PhD students Briony Helen Eldridge and Harry Margaret John Iveson in the Mathematical Sciences program. He has secured research funding including an EPSRC First Grant project. Within the department, he teaches the fourth year module Hyperbolic Geometry and Foundation Year Mathematics B, demonstrating his commitment to both advanced and foundational mathematical education.

• Symplectic Geometry
• Poisson Geometry
• Symplectic and Contact Topology
• +۱۲ مورد دیگر

Eva Miranda Galceran is a Full Professor at the Facultat de Matemàtiques i Estadística (FME) of the Universitat Politècnica de Catalunya (UPC) , where she leads the GEOMVAP research group and directs the Laboratory of Geometry and Dynamical Systems . She holds affiliations as a Chercheur Affilié at the Observatoire de Paris , an ICMAT Honorary Vinculado , and a member of the BGSMath network. Research: Her work bridges Symplectic and Poisson Geometry with Hamiltonian Dynamics , Fluid Dynamics , and Computer Science . Key themes include geometric quantization , integrable systems , singular manifolds , and universality in Euler flows , including the construction of Turing complete fluid systems . She has advanced the singular Weinstein conjecture and explored b-symplectic and E-symplectic manifolds with applications to celestial mechanics. Awards: ICREA Academia Prizes (2016, 2021) François Deruyts Prize 2022 Friedrich Wilhelm Bessel-Forschungspreis 2022 Gauss Professor 2025 Advising: She mentors 2 Ph.D. students ( Pablo Nicolás , Søren Dyhr ) and has supervised 9 Ph.D. graduates, including Anastasia Matveeva (2022, InPHINIT La Caixa), Joaquim Brugués (2024, FI-AGAUR), and Mir Garcia (2024). Her team spans Mathematical Physics , Geometric Quantization , and Computational Complexity . Grants: Principal Investigator for projects AQUACELL (AEI-DFG, €350,000), INTERGAP (PID2023-146936NB-I00, €293,750), COMPLEXFLUIDS (BBVA, €150,000), and the ICREA Academia 2021 (€120,000). She co-leads the Maria de Maeztu CEX2020-001084-M program (€2M) at the Centre de Recerca Matemàtica (CRM) .