جست‌وجوی استاد و پژوهشگر

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

Ali Feizmohammadi is an Assistant Professor, Teaching Stream (LTA) in the Department of Mathematics at the University of Toronto Mississauga, affiliated with the Mathematical and Computational Sciences division. His research focuses on inverse problems, partial differential equations, and geometric analysis. He holds a position emphasizing teaching excellence within the university's framework. His work addresses advanced mathematical challenges such as coefficient identification in subdiffusion equations, fractional Laplacian problems on Riemannian manifolds, and nonlinear elliptic equations on manifolds. Recent articles highlight contributions to the Calderón problem in various contexts, wave equation control, and spacetime finite element methods. No scientific awards or grants are explicitly listed in the provided information. He has not yet listed advisees in the available data. His research trends emphasize rigorous mathematical analysis of inverse problems in both classical and fractional PDE frameworks, with applications to geometric and control-theoretic questions. Dr. Feizmohammadi's work spans theoretical advancements in inverse problems, numerical methods for control systems, and the interplay between differential geometry and PDEs. His contributions address both fundamental theory and applied methodologies in mathematical physics and engineering.

Yi Laiمشاهده پروفایل

استادیار

• Geometric Analysis
• Ricci Flows
• Steady Gradient Ricci Solitons
• +۳ مورد دیگر

Yi Lai is an Assistant Professor in the Department of Mathematics at the University of California, Irvine (UCI). He earned his Ph.D. from UC Berkeley in 2021 under Richard Bamler and served as a Szego Assistant Professor at Stanford University (2021–2024), mentored by Otis Chodosh. His research centers on geometric analysis, with a focus on Ricci flows, steady gradient solitons, and the geometry of 3-manifolds. Dr. Lai's work explores the construction and classification of geometric structures like flying wing solitons, convergence properties of Ricci flow, and curvature behavior in low-dimensional manifolds. His publications frequently address long-time existence of geometric flows and symmetry in solitons, blending PDE theory with differential geometry. At UCI, he teaches courses such as Linear Algebra (Math 121A). No awards, grants, or supervised students are mentioned in available sources.

• symmetric function theory
• algebraic combinatorics
• representation theory
• +۳ مورد دیگر

Sami H. Assaf is a Gabilan Distinguished Professor of Science and Engineering and Professor of Mathematics at the University of Southern California. He currently serves as Director of Graduate Studies for the Department of Mathematics and was named a Dean's Leadership Fellow for Physical Sciences and Mathematics in 2024. His academic career spans from CLE Moore Instructor at MIT (2008-2011) through Assistant Professor (2012-2019), Associate Professor (2019-2022), to his current position as Professor (2022-present). Dr. Assaf earned his Ph.D. in Mathematics from the University of California, Berkeley in 2007 under Mark Haiman, with his dissertation titled "Dual equivalence graphs, ribbon tableaux and Macdonald polynomials." He completed his undergraduate studies at the University of Notre Dame in 2001, graduating summa cum laude with Honors in Mathematics and Philosophy. His research primarily focuses on symmetric function theory and its rich interplay with algebraic combinatorics, representation theory, and algebraic geometry. Dr. Assaf's recent publications center on polynomial generalizations of symmetric functions, including Schubert polynomials, Demazure characters, and nonsymmetric Macdonald polynomials. His work has established important connections between combinatorial structures and representation-theoretic objects, particularly through the development of dual equivalence and weak dual equivalence frameworks. Dr. Assaf's research has been consistently supported by multiple National Science Foundation grants (most recently DMS-2246785) and Simons Foundation Collaboration Grants (most recently Award 953878). His publication record shows remarkable productivity with over 40 papers in top mathematics journals since 2005, including numerous collaborations with graduate students and postdoctoral scholars. Among his honors are the Gabilan Distinguished Professorship (2023), multiple USC Mentoring Awards (2017, 2024), the Herb Alexander Prize for outstanding dissertation (2007), and both the National Science Foundation and National Defense Science and Engineering Graduate Research Fellowships. As an educator and mentor, Dr. Assaf has successfully guided numerous Ph.D. students to completion, including Henry Ehrhard, Grant Bowles, and Peter Kagey. He also founded and directs the Venice Math Circle, an innovative early math education program that uses creative approaches like dinosaur sorting and building blocks to teach deep mathematical concepts to children from Pre-K through 8th grade, emphasizing discovery and analytical thinking over rote memorization.

Eugene Tangمشاهده پروفایل

استادیار

• Quantum Information Theory
• Quantum Computing
• Quantum Error Correction
• +۳ مورد دیگر

Eugene Tang is an Assistant Professor in the Department of Mathematics and Physics at Northeastern University. His research focuses on quantum information theory and the theoretical limitations of quantum computing, particularly quantum error correction and efficient protocols using high-rate codes. He received his PhD from the California Institute of Technology in 2021. Dr. Tang's research interests include quantum error correction, the development of efficient quantum protocols surpassing conventional schemes, and the study of quantum algorithms such as QAOA. He explores the theoretical boundaries of quantum computing, with a focus on optimizing error detection and decoding methods for quantum LDPC codes and subsystem codes. His work also intersects with quantum gravity, particularly in the context of black hole interiors and bulk geometry construction through tensor methods. His recent publications highlight advancements in quantum error correction, including optimal locality in subsystem codes and efficient decoding strategies for quantum LDPC codes. His work on variational quantum optimization addresses challenges in scalability, such as QAOA's performance at large qubit scales and symmetry-related obstacles. Earlier contributions include research on superoscillations and hybrid quantum-classical algorithms for graph coloring. No scientific awards or grants are explicitly mentioned in the provided information. No specific labs or teams are associated with his work in the given data.

• Algebraic Topology
• Differential Geometry
• Manifold Theory
• +۳ مورد دیگر

Paola Cristofori is an Associate Professor in the Department of Physical, Computer and Mathematical Sciences at the University of Modena and Reggio Emilia. Her research focuses on Algebraic Topology, Differential Geometry, and Manifold Theory, with contributions to PL topology, 4-manifolds, and combinatorial structures like crystallization theory. She teaches courses in Geometry, Linear Algebra, and Algebraic Topology for undergraduate and graduate programs in Mathematics, Civil Engineering, and Strategic Sciences. Her work emphasizes topological invariants, combinatorial methods in manifold classification, and applications of colored graphs. Key areas include trisections of 4-manifolds, Kirby diagrams, and G-degree theory. She collaborates extensively on projects involving geometric topology and computational topology tools. Dr. Cristofori’s teaching spans foundational topics in linear algebra, Euclidean geometry, and advanced algebraic topology, emphasizing rigorous proofs and practical applications. Her research is published in top journals and includes over 40 articles, reflecting her deep engagement with low-dimensional topology and geometric structures.

Jan Martin Nordbottenمشاهده پروفایل

استاد

• Applied Mathematics
• Porous Media
• Geological CO2 Storage
• +۴ مورد دیگر

Jan Martin Nordbotten is a full-time Professor at the Department of Mathematics, University of Bergen (UiB), with adjunct positions at Princeton University and NORCE. His research focuses on applied mathematics, particularly in porous media, CO2 storage, fluid dynamics, and interdisciplinary applications in hydrology, biomedicine, and ecology. He completed his PhD at UiB in 2004 and became Norway's third youngest professor in 2007. His work emphasizes numerical methods, multiscale modeling, and experimental validation. Affiliations: UiB (full-time), Princeton (adjunct), NORCE (adjunct) Research Group: Center for Sustainable Subsurface Resources Research interests span mathematical modeling of subsurface processes, including flow in fractured media, geomechanics, and phase-field fracture. Notable contributions include analytical and numerical solutions for CO2 leakage, multiphase flow, and development of tools like DarSIA for image processing in porous media. Publications highlight advancements in mixed-dimensional models, finite element methods, and experimental validation of CO2 storage forecasts. His work bridges theoretical mathematics with practical applications in energy and environmental systems.

Christopher Ramseyمشاهده پروفایل

دانشیار

• Operator Algebras
• Functional Analysis
• Multivariable Operator Theory
• +۵ مورد دیگر

Christopher Ramsey is an Associate Professor and Interim Chair of the Department of Mathematics and Statistics within the Faculty of Arts and Science at MacEwan University in Edmonton, Alberta. He holds a PhD in Pure Mathematics from the University of Waterloo (2013), an MMath from Waterloo, and a BSc Honours from the University of Regina. Dr. Ramsey's research centers on operator algebras and functional analysis, with particular emphasis on non-selfadjoint operator algebras and multivariable operator theory. His work explores connections between analysis and algebra, studying algebras of infinite matrices and their applications to group theory, dynamical systems, free probability, and quantum information theory. He also investigates aperiodic order and its mathematical structures. His recent publications (2020-2025) demonstrate a consistent focus on operator algebras, with significant contributions to C*-algebras, tensor algebras, and their applications. The research spans theoretical foundations in functional analysis while connecting to diverse fields including symbolic dynamics, aperiodic structures, and quantum information. His work often bridges abstract algebraic structures with concrete analytical problems. Dr. Ramsey has received notable recognition including an NSERC Discovery Grant (2019), a MacEwan University Project Grant (2019), and an NSERC Postdoctoral Fellowship (2013). He serves as Editor-in-Chief of the MacEwan University Student eJournal (MUSe) and Associate Editor of the Canadian Transactions of Operator Theory. As an educator, Dr. Ramsey teaches various mathematics courses and supervises senior students' independent studies. His academic service includes editorial work and active participation in the Canadian Mathematical Society. His research program continues to develop connections between operator algebras and their diverse applications across mathematical disciplines.

Jürgen Richter-Gebertمشاهده پروفایل

استاد

• Geometry
• Visualization
• Computer Science
• +۷ مورد دیگر

Professor Jürgen Richter-Gebert is a full professor of Geometry and Visualization at the Technical University of Munich (TUM), working within the TUM School of Computation, Information and Technology. Born in 1963, he has been at TUM since 2001, following positions at ETH Zurich (1997-2001) and TU Berlin (1994-1997). His educational background includes studies at TU Darmstadt (1983-1988) and dual PhDs from TU Darmstadt and KTH Stockholm (1991-1992). Richter-Gebert's research spans combinatorial and computer-oriented geometry, with particular expertise in polytope theory and mathematical visualization software. He develops processes for the automatic generation of geometric problem solutions and is actively involved in raising the public profile of mathematics. Richter-Gebert's publications and research focus on the intersection of mathematics and computer science, with particular emphasis on projective geometry, dynamic geometry, polytope theory, and combinatorial geometry. His work demonstrates how mathematical structures can be made accessible through computerized interactive visualizations. His most notable publications include "Perspectives on Projective Geometry" (2011) and "Geometriekalküle" (2009), along with numerous papers on dynamic geometry systems. Ars Legendi Prize for excellent university teaching (2011) Karl Max von Bauernfeind Medal of the TUM (2010) MedidaPrix - media didactic university prize (2008) EASA - European Academic Software Award (2000) Communicator Preis for science communication (2021) As founder and director of the ix-quadrat mathematics exhibition at the Garching Campus, Richter-Gebert has made significant contributions to mathematics education and outreach. He has developed influential mathematical visualization tools including Cinderella, CindyJS, and iOrnament, which have received multiple awards for educational software excellence. His research group focuses on mathematical foundations, authoring systems, and mathematical visualizations with applications in education and public scenarios.

• Representation theory of Lie algebras
• Knot theory and topology
• Categorification
• +۷ مورد دیگر

Professor Catharina Stroppel is a distinguished researcher and educator in the Department of Mathematics at the University of Bonn, Germany. She maintains an active research program in representation theory and related fields, with significant contributions to categorification, knot theory, and higher category theory. Her office is located at Endenicher Allee 60, Room 4.007, Bonn, and she is supported by secretary Alev Erisöz-Reinke. Stroppel's research primarily focuses on representation theory of Lie algebras, connections to topology (particularly knot and manifold invariants), categorification, and diagram algebras. Her work bridges abstract algebra with topological applications, exploring combinatorial aspects of representation theory including Schubert calculus, Kazhdan-Lusztig theory, and canonical bases. She has made substantial contributions to understanding Hecke algebras and their representation theory, as well as developing connections between categorification and topological quantum field theories. Her recent publications demonstrate a consistent research trajectory advancing semi-infinite highest weight categories, geometric categorifications, and the interplay between quantum algebra and topology. The work shows increasing sophistication in handling higher categorical structures while maintaining concrete connections to classical representation theory problems. Her research has evolved from foundational work in categorification to more complex structures involving higher categories, quantum groups, and geometric interpretations. Indagationes Mathematicae Best Paper Prize (2022) Honorary Doctorate from Uppsala University Invited Plenary Speaker at the International Congress of Mathematicians (2022) Professor Stroppel has supervised numerous doctoral students, including current PhD candidates Jonas Nehme, Liao Wang, Lukas Bonfert, and Daniel Bermudez Montana. Her former PhD students include Till Wehrhan, Anna Mkrtchyan, Tashi Walde, Tomasz Przezdziecki, Arik Wilbert, Joanna Meinel, Hanno Becker, Antonio Sartori, Hoel Queffelec, Gisa Schaefer, and Sebastian Holzmann. She actively participates in the academic community through the Oberseminar Representation Theory (Darstellungstheorieseminar DAS), which she co-organizes with Johannes Flake, held Fridays 2:15-4pm in Endenicher Allee 60 - SR 1.008. Stroppel leads the Algebra and Representation Theory working group in Bonn and maintains strong connections with the Hausdorff Center for Mathematics, which recently received seven additional years of funding. Her research program continues to expand, with upcoming teaching responsibilities including V4A3 Representation Theory II for the WS25/26 semester.

• Quantum Computing
• Quantum Foundations
• ZX-calculus
• +۷ مورد دیگر

John van de Wetering is an Assistant Professor at the Theoretical Computer Science group of the Informatics Institute, University of Amsterdam, working with the QuSoft research center. He co-authored the open-access book Picturing Quantum Software and developed the PyZX quantum compiler. His research spans quantum computation and quantum foundations, focusing on diagrammatic methods like the ZX-calculus and ZH-calculus. Quantum circuit optimization and verification Quantum foundations via algebraic/compositional methods Co-creator of PyZX His recent publications explore multi-qutrit systems, completeness of graphical calculi, and quantum state representations. Supervises students in quantum computing, including Lia Yeh and Sarah Li. Directs the new Master's program in Quantum Computer Science at UvA. Actively contributes to open-source projects and international conferences. Notable collaborations include Aleks Kissinger, Neil J. Ross, and QuSoft researchers. Uses GitHub for DiZX development (qudit extension of PyZX). No explicit scientific awards mentioned.

• Functional Analysis
• Operator Theory
• Free Probability
• +۳ مورد دیگر

Michael Anshelevich is a Professor of Mathematics at Texas A&M University, affiliated with the College of Arts & Sciences. His research focuses on Functional Analysis, Operator Theory, and Free Probability, with contributions to non-commutative stochastic processes, orthogonal polynomials, and operator-valued distributions. He holds a Ph.D. from the University of California, Berkeley (2000) and a B.S. from the California Institute of Technology (1994). His work bridges combinatorial methods with advanced probability theory, addressing topics like free Lévy processes and free convolution powers. Research interests span non-commutative probability frameworks, including free stochastic measures, Fock space representations, and applications of combinatorial structures to stochastic calculus. Recent articles explore exponential products in operator algebras, Hermite polynomials in Brownian motion contexts, and depth-two actions in Fock spaces. His contributions to free probability include extending classical limit theorems to non-commutative settings and analyzing multiplicative free convolutions. Publications highlight interdisciplinary connections between functional analysis and stochastic processes, with a focus on operator-valued distributions and Jacobi parameters. While no specific awards are listed, his extensive bibliography reflects sustained impact in mathematical physics and operator theory. Advising and grants sections remain unspecified, though his research often involves collaborative projects in stochastic analysis and free probability.

Victor H. Mollمشاهده پروفایل

استاد

• Classical Analysis
• Symbolic Computation
• Special Functions
• +۳ مورد دیگر

Victor H. Moll is a Professor of Mathematics at Tulane University, New Orleans, Louisiana. He holds a Ph.D. and M.S. in Mathematics from New York University (1984/1982) and a B.S. in Mathematics from Universidad Santa Maria (1978). His research focuses on Classical Analysis, Symbolic Computation, Special Functions, and Number Theory. He has held visiting positions at Universidad Santa Maria (Chile) and the Courant Institute (NYU), and served as a postdoctoral researcher at Temple University. Moll has contributed extensively to integral evaluations, particularly through the Gradshteyn and Ryzhik series and the method of brackets for definite integrals. His work bridges pure mathematics with applications in physics and combinatorics. His research spans asymptotic analysis of polynomials, valuation theory of number sequences, and symbolic computation techniques. Notable contributions include studies on Jacobi polynomials, Catalan numbers, and hypergeometric inequalities. Moll has collaborated on projects involving Feynman diagrams and modular-type transformations, showcasing interdisciplinary reach. His academic journey includes roles from Assistant Professor (1986–1992) to full Professor (2001–present) at Tulane. While no specific grants or awards are listed, his prolific publication record (over 200 articles from 2015–2025) highlights sustained academic engagement. His work often explores connections between classical mathematical analysis and modern computational methods.

Daniele Venturiمشاهده پروفایل

استاد

• Stochastic modeling
• Uncertainty quantification
• Numerical analysis
• +۷ مورد دیگر

Daniele Venturi is a Professor of Applied Mathematics at the University of California, Santa Cruz, where he has been faculty since 2015, rising from Assistant Professor to full Professor by 2021. Previously, he was a Research Assistant Professor at Brown University from 2010-2015. His academic journey began at the University of Bologna, where he earned both his combined B.S./Sc.M. in Mechanical Engineering (2002) and Ph.D. in Applied Physics with a focus on thermo-fluid dynamics (2006). University of Bologna: B.S./Sc.M. Mechanical Engineering (2002), Ph.D. Applied Physics (2006) Brown University: Research Assistant Professor (2010-2015) UC Santa Cruz: Assistant to Associate to Full Professor (2015-present) Professor Venturi's research spans multiple cutting-edge areas in computational mathematics. His primary interests include stochastic modeling and uncertainty quantification, numerical tensor methods for high-dimensional PDEs, data-driven modeling approaches, approximation of functional-differential equations, and theoretical/computational fluid dynamics. His work bridges theoretical mathematical frameworks with practical computational implementations, particularly focusing on overcoming the curse of dimensionality in complex systems. His recent research has been heavily focused on hierarchical tensor methods for solving high-dimensional partial differential equations. The analysis of his publication record reveals a strong emphasis on developing computational frameworks that address high-dimensional challenges in uncertainty quantification and model reduction. His work frequently intersects machine learning techniques with traditional numerical methods, particularly in developing physics-informed neural networks and multifidelity modeling approaches. A consistent theme across his publications is the development of mathematical frameworks that maintain computational tractability while preserving physical fidelity in complex systems. Professor Venturi has secured substantial research funding from major agencies including the Air Force Office of Scientific Research (AFOSR), Department of Energy (DoE), National Science Foundation (NSF), Army Research Office (ARO), and Defense Advanced Research Projects Agency (DARPA). His most significant current grant is a 2024-2029 AFOSR MURI award totaling $7.5M as co-PI for 'Tensor Network for simulating kinetic systems.' 2024-2029: AFOSR MURI, $7.5M (co-PI) 2023-2027: DoE, $3.8M (co-PI) 2023-2026: AFOSR, $2.5M (co-PI) 2020-2025: NSF TRIPODS, $2.3M (co-PI) At UC Santa Cruz, Venturi teaches a range of courses including Fundamentals of Uncertainty Quantification, Applied Dynamical Systems, Nonlinear Dynamical Systems, and Numerical Methods for Differential Equations. His teaching spans both undergraduate and graduate levels, reflecting his expertise across theoretical and computational mathematics. His lecture notes for these courses are publicly available and demonstrate his commitment to pedagogical excellence in complex mathematical subjects.

• Geometric Analysis
• Ricci Curvature
• Metric Measure Spaces
• +۵ مورد دیگر

Shouhei Honda is a Professor at the Graduate School of Mathematical Sciences, The University of Tokyo, specializing in Geometric Analysis. His research focuses on metric measure spaces with Ricci curvature bounded below, collapsing Riemannian manifolds, and spectral convergence phenomena. Education: PhD (2009) from Kyoto University. Awards: Geometry Prize (2018), Young Scientists' Prize by MEXT (2017), Takebe Katahiro Prize (2015). His work bridges abstract metric geometry with concrete geometric structures, particularly in Ricci limit spaces and RCD spaces. Recent studies emphasize spectral properties, Sobolev mappings, and stability theorems under curvature constraints. The 15 most recent articles highlight advancements in Ricci curvature bounds, collapsing geometry, spectral convergence, and non-collapsed RCD spaces. Key topics include topological stability, Weyl's law, harmonic maps, and weakly second-order differential structures. Scientific Awards: Geometry Prize, Mathematical Society of Japan (2018) Young Scientists' Prize, MEXT (2017) Takebe Prize, Mathematical Society of Japan (2015) Grants: Grant-in-Aid for Transformative Research Areas (2022-2027) Grant-in-Aid for Scientific Research (B) (2021-2026) Grant-in-Aid for Scientific Research (B) (2018-2021) Honda actively contributes to academic and public engagement, including lectures on geometry and Ricci curvature at institutions like the University of Tokyo and Tohoku University. He collaborates with leading researchers in geometric analysis and curvature bounds.

Ezra Millerمشاهده پروفایل

استاد

• Geometry
• Algebra
• Probability
• +۷ مورد دیگر

Ezra Miller is a Professor of Mathematics at Duke University, specializing in algebraic geometry, combinatorics, and their applications to biology and statistics. His work bridges pure mathematics with interdisciplinary research, including studies in phylogenetic trees, geometric probability, and algebraic statistics. He holds positions in the Mathematics Department at Duke and has contributed to the Statistical and Applied Mathematical Sciences Institute (SAMSI) programs. Education: Details not explicitly provided in the text, but his academic journey includes a Ph.D. from UC Berkeley and postdoctoral research. His research interests span geometry, algebra, probability, statistics, topology, combinatorics, algorithms, and computational biology. He has advised students in algebraic combinatorics and related fields. Research emphasizes geometric and combinatorial structures, with notable projects on phylogenetic data analysis, hypergeometric systems, and Gröbner basis theory. His work often integrates computational methods with theoretical frameworks. Notable collaborations include studies on metric phylogenetic trees, topological data analysis, and combinatorial game theory. He has taught advanced courses in algebra, combinatorics, and applied mathematics at Duke. Labs/Teams: Active in SAMSI's Analysis of Object Data program and collaborates with statisticians and biologists on interdisciplinary projects.