Alexandru D. Ionescu is a Professor of Mathematics at Princeton University, where he has held this position since 2010. Previously, he was a faculty member at the University of Wisconsin-Madison (2002-2010) and a C.L.E. Moore Instructor at MIT (1999-2002). He holds a Ph.D. from Princeton University (1999), an M.A. from Princeton (1997), a B.S. from MIT (1995), and studied at the University of Bucharest (1991-1993). His research focuses on partial differential equations (PDEs) arising in fluid dynamics, mathematical physics, and geometric analysis. Key areas include nonlinear stability of fluid flows, global regularity for water waves, and wave turbulence theory. He investigates systems like the Navier-Stokes, Euler, Vlasov-Poisson, and SQG equations, examining phenomena such as inviscid damping, singularity formation, and turbulence propagation. Ionescu has received prestigious awards including the Packard Fellowship (2004-2011), Sloan Fellowship (2003-2005), and Romnes Award (2008-2011). He leads NSF-funded collaborations on fluid dynamics and computer-assisted proofs, involving institutions like NYU, Brown, and Stanford. His work bridges theoretical analysis with computational methods, including applications of physics-informed neural networks (PINNs). He advises graduate students such as Hyungjun Choi and Noah Stevenson and co-organizes conferences like the 2025 NSF-FRG Conference at Princeton and the NSF-UEFISCDI Summer School in Bucharest. His research spans fluid instabilities, plasma physics, and geometric flows, with over 70 peer-reviewed publications in top journals like Annals of Mathematics and Inventiones Mathematicae.
جستوجوی استاد و پژوهشگر
استاد راهنما، استاد دانشگاه یا پژوهشگر مناسب برای مسیر پژوهشیتان را پیدا کنید و با او ارتباط بگیرید.
نمایش ۶۹۱-۷۰۵ از ۹۵۰ استاد راهنما
اطلاعات این پروفایلها از صفحات عمومی دانشگاهها جمعآوری شده و ممکن است بهروز نباشد.
- Dynamical Systems
- Geometry
- Number Theory
- +۳ مورد دیگر
Jayadev Athreya is a Professor in Mathematics and Comparative History of Ideas at the University of Washington, serving as Director of the Washington Experimental Mathematics Lab since 2015. He holds affiliations with the College of Arts & Sciences and the Department of Mathematics. His research focuses on the interplay between structure and randomness in dynamical systems, with contributions to geometry, number theory, and the study of high-dimensional tilings. He advocates for decolonizing mathematics to make it inclusive and accessible across cultural contexts. Dr. Athreya's work bridges theoretical mathematics and interdisciplinary inquiry, emphasizing the universal nature of mathematical exploration. His role as lab director supports experimental and collaborative approaches to mathematical research. While no specific articles are listed here, his research trends emphasize dynamical systems, geometric structures, and the cultural dimensions of mathematics education. No scientific awards are explicitly mentioned in the provided text. His advising and grants activities are not detailed, though his leadership in the Mathematics Lab suggests active engagement in educational initiatives. He directs the Washington Experimental Mathematics Lab, fostering a community of mathematical explorers in the Pacific Northwest.
Kaave Hosseiniمشاهده پروفایل
استادیار
Kaave Hosseini is an Assistant Professor in the Department of Computer Science at the University of Rochester. He holds a PhD from UC San Diego and a BSc from Sharif University of Technology. His research focuses on theoretical computer science and additive combinatorics, emphasizing approximate algebraic structures and pseudorandomness. Education: PhD in Computer Science, UC San Diego (advisor: Shachar Lovett) BSc in Mathematics and Computer Science, Sharif University of Technology Research Interests: His work bridges theoretical computer science and mathematics, particularly in: Computational complexity Combinatorial structures Discrepancy theory Algebraic methods in computer science Key Publications: Recent works include advancements in communication complexity, pseudorandomness, and lower bounds. Notable achievements include a Best Paper Award at ICALP 2023. Awards: Best Paper Award at ICALP 2023. Teaching: He has taught courses such as Advanced Algorithms (CSC 484/284) and Analytic Methods in Computer Science (CSC 488/288) at the University of Rochester, and combinatorics and probability courses at Carnegie Mellon University. Professional Activities: Organized the Eastern Great Lakes (EaGL) workshop in Theory of Computation.
Stanislaw Szarek is the Kerr Professor of Mathematics at Case Western Reserve University's Department of Mathematics, Applied Mathematics, and Statistics within the College of Arts and Sciences. His research focuses on geometric functional analysis, asymptotic geometric analysis, and their intersections with quantum information theory. He explores high-dimensional phenomena, convex geometry, operator theory, and their applications to quantum entanglement, nonlocal games, and probabilistic methods. His work bridges pure mathematics and quantum information science, addressing questions such as the geometry of quantum states, entanglement detection complexity, and the implications of high-dimensional systems. Notable contributions include studies on Dvoretzky's theorem, concentration inequalities, and the interplay between tensor norms and quantum protocols. Recent publications highlight advancements in nonlocal games, convex optimization, and the mathematical foundations of quantum information. His research often employs tools from functional analysis, probability, and convex geometry to analyze high-dimensional structures and their practical implications in theoretical computer science and physics.
- Convex Geometry
- Analysis
- Probability
- +۳ مورد دیگر
Elisabeth Werner is a Professor in the Department of Mathematics, Applied Mathematics, and Statistics at Case Western Reserve University (CWRU), located in Cleveland, Ohio. Her primary affiliations include the College of Arts and Sciences and the Department of Mathematics. She holds an office at 2145 Adelbert Rd, Room 102C, and can be reached via elisabeth.werner@case.edu or 216.368.2901. Her research focuses on convex geometry, analysis, and probability, with applications to approximation theory, mathematical physics, and quantum information theory. Key areas include the study of floating bodies, geometric inequalities, and high-dimensional probabilistic structures. Recent work explores topics like Lp-affine surface areas, spherical convex hulls, and the interplay between convex geometry and functional analysis. Her publications from 2023–2025 highlight advancements in floating body theory, curvature functionals, and stochastic geometric models. Notable trends include investigations into isoperimetric inequalities, entropy theory, and the geometric properties of convex bodies in high dimensions. Despite extensive contributions to the field, no scientific awards are explicitly mentioned in the provided materials. No advisees or grant details are listed, though her research often intersects with quantum information theory and mathematical physics. She maintains a departmental website at case.edu/artsci/math/werner , which likely contains additional professional details.
Prof Kenneth Falconer is the Regius Professor of Mathematics at the University of St Andrews, leading the School of Mathematics and Statistics. He specializes in Fractal Geometry and Mathematical Analysis, with contributions to self-affine sets, box-counting dimensions, and fractal stochastic processes. His academic journey includes a PhD from the University of Cambridge and roles at the University of Bristol before joining St Andrews in 1993. He has authored five books, including the seminal Fractal Geometry: Mathematical Foundations and Applications . His research spans over 130 publications, focusing on fractal geometry's theoretical and applied aspects, including Falconer's distance problem and affinity dimension. He has supervised 19 PhD students, many of whom pursue academic careers. Awards include the Shephard Prize (2020), CBE (2024), and Fellowship in the Royal Society of Edinburgh. Teaching responsibilities include courses on Fractal Geometry, Functional Analysis, and Analysis for postgraduates via the Scottish Mathematics and Statistics Training Centre. He has held administrative roles like Head of School and Postgraduate ProDean. Beyond academia, Falconer is an avid long-distance walker, completing 37 LDWA 100-mile events and climbing all Munros and Corbetts in Scotland.
- Fractal Geometry
- Analysis
- Geometric Measure Theory
- +۳ مورد دیگر
Professor Jonathan Fraser is a faculty member in the Department of Pure Mathematics at the University of St Andrews, leading the Analysis Research Group. His primary affiliation is within the School of Mathematics and Statistics, where he holds a professorial position. Fraser's research focuses on fractal geometry, analysis, and their intersections with geometric measure theory, Fourier analysis, and dynamical systems. His educational background includes a PhD from the University of St Andrews (2013), with a thesis on self-affine fractals. He has supervised multiple PhD students, including Ana de Orellana, Tianyi Feng, Yunlong Xu, and Lijian Yang. Fraser's research interests span fractal projections, self-affine sets, Fourier analysis of fractals, and Kakeya-type problems. He has contributed to understanding the dimension theory of fractals via Assouad spectra and intermediate dimensions, with applications to conformal dynamics and additive combinatorics. His awards include the 2024 Fellowship of the Royal Society of Edinburgh, the 2023 Sir Edmund Whittaker Memorial Prize, and the 2022 RSE/Sir Thomas Makdougall Brisbane Medal. He is an editor for the Proceedings of the Royal Society of Edinburgh and Journal of Fractal Geometry . Fraser's work often bridges pure mathematics and stochastic processes, with recent focus on Fourier analytic techniques and dimension interpolation. He leads research projects funded by the Leverhulme Trust and EPSRC, exploring topics like fractal projections and conformal geometry. In addition to academic leadership, Fraser collaborates widely, organizing seminars such as the One World Fractals series. He is actively mentoring new researchers and has upcoming initiatives for PhD and postdoctoral positions in fractal geometry.
Alex Cloningerمشاهده پروفایل
دانشیار
Alex Cloninger is an Associate Professor in the Department of Mathematics and the Halıcıoğlu Data Science Institute at UC San Diego. He holds a PhD in Applied Mathematics and Scientific Computation from the University of Maryland, College Park, and was an NSF Postdoc and Gibbs Assistant Professor at Yale University. His research focuses on geometric data analysis, applied harmonic analysis, manifold learning, and deep learning. He investigates methods to model data with local lower-dimensional structures, such as manifolds or subspaces, with applications in imaging, medicine, and artificial intelligence. His work integrates techniques from machine learning and statistical algorithms. Cloninger's articles predominantly focus on geometric data methods, optimal transport, and graph-based learning. Recurring themes include advanced algorithms for manifold learning, robustness in statistical estimation, and computational optimization. Collaborative projects emphasize scalability and theoretical guarantees in learning frameworks. He received the NSF Postdoctoral Research Fellowship and leads a collaborative NSF Research Training Group grant. His work supports interdisciplinary collaborations bridging mathematics, computer science, and engineering.
Stephen J Curran, PhD is a Professor in the Department of Mathematics at the University of Pittsburgh at Johnstown, affiliated with the Natural Sciences Division. His academic career includes roles focused on both teaching and research in pure mathematics. Education: BA from Beloit College MS from University of Chicago PhD (1988) from University of Chicago Research interests span Algebraic Topology, particularly intersection homology in Witt spaces, and Graph Theory with emphasis on Hamiltonian paths/cycles in Cayley graphs/digraphs. His work bridges abstract algebraic structures with topological and combinatorial problems. Publications focus on Cayley graph Hamiltonicity, group actions on manifolds, and probabilistic graph properties. While no specific awards are listed, his consistent output since 1985 demonstrates sustained academic contribution. Advising/Grants: No specific advisees or grant details provided. His office is located in 230E Krebs Hall.
Alexander Litvak is a Professor in the Department of Mathematical and Statistical Sciences at the University of Alberta. His research focuses on convex geometry, random matrix theory, and probability theory with applications to high-dimensional geometry and stochastic processes. Education: He holds a Ph.D. from Tel Aviv University and an M.Sc. from Saint Petersburg State University. Research Interests: Litvak explores geometric probability, random structures, and their applications in optimization and functional analysis. His work often addresses questions related to convex bodies, matrix singularity, and the behavior of high-dimensional random systems. Key topics include minimal dispersion, random polytopes, and spectral properties of random graphs. Publications: His recent work (2020-2024) emphasizes probabilistic methods in convex geometry and random matrix theory, with notable contributions to linear bandits, sparse matrix analysis, and the circular law for digraphs. These studies reveal trends in understanding high-dimensional phenomena and probabilistic structures. Grants and Awards: No specific grants or awards listed in the provided materials. Advising and Labs: No student advisees or lab affiliations explicitly mentioned in the text.
Damian Sobotaمشاهده پروفایل
پژوهشگر
- Measure Theory
- Banach Space Theory
- Set Theory
- +۳ مورد دیگر
Damian Sobota is a researcher at the Kurt Gödel Research Center for Mathematical Logic, part of the University of Vienna's Faculty of Mathematics. He holds a PhD from the Institute of Mathematics of the Polish Academy of Sciences under Prof. Piotr Koszmider. His work focuses on applications of infinitary combinatorics and forcing to measure theory, Banach space theory, and functional analysis. His research projects include collaborations on topics like measures in the random model, projections in C(K)-spaces, and the separable quotient problem for C_p(X)-spaces. Recent publications explore Grothendieck properties of Boolean algebras, complemented subspaces in Banach spaces, and convergence of measures in forcing extensions. Awards include the Wacław Marszałek Award for his PhD thesis and recognition in the Józef Marcinkiewicz Student Paper Contest. Awards: Wacław Marszałek Award, Summa Cum Laude honors, Polish academic scholarships Key contributions: Forcing techniques in measure theory, Banach space structure analysis
Tim Garoni is a Professor in the School of Mathematics at Monash University, specializing in mathematical physics and statistical mechanics. His research focuses on discrete models in classical statistical mechanics, spanning mathematical physics, probability theory, combinatorics, and computer science. Education: PhD in Science, University of Melbourne (awarded December 1, 2003) BSc (Hons) in Science, University of Melbourne (awarded December 1, 2000) Professor Garoni's primary research interests lie in equilibrium models including the Ising model, self-avoiding walk, percolation, and the Fortuin-Kasteleyn random-cluster model, as well as non-equilibrium models such as exclusion processes. He has a particular focus on high-dimensional behavior of equilibrium models and properties of Markov chains arising in Monte Carlo methods for discrete statistical mechanics, including questions about mixing times of finite Markov chains. His work often bridges theoretical mathematics with practical applications in areas such as traffic flow modeling. Recent publications show a strong focus on random walks, percolation theory, and high-dimensional systems, with significant contributions to understanding critical phenomena and finite-size scaling. His research also extends to transportation networks, demonstrating the interdisciplinary nature of his mathematical approaches. Professor Garoni is actively involved in multiple research projects, including Self-Interacting Random Walks (2023-2026), Random walks with long memory (2018-2022), and the ARC Centre of Excellence for Mathematical and Statistical Frontiers of Big Data, Big Models, New Insights (2017-2021). He is also organizing academic events such as the AIM Day: Maths AI and Energy meet Industry @ Monash in 2024. As a supervisor, Professor Garoni accepts PhD students working on statistical mechanics and discrete probability projects. His research has resulted in over 49 publications and 8 research projects, demonstrating sustained scholarly productivity in his field.
Marta Lewicka is a Professor of Mathematics at the University of Pittsburgh, affiliated with the Dietrich School of Arts and Sciences. Her research focuses on nonlinear analysis, partial differential equations (PDEs), and calculus of variations, with applications to elasticity, geometric analysis, and game theory. She holds a PhD from SISSA, Italy, and has authored influential works such as A Course on Tug-of-War Games with Random Noise and Calculus of Variations on Thin Prestressed Films . Key awards include the 2021 AMS Fellowship and NSF award DMS-2006439. Her work bridges theoretical mathematics and applied fields, addressing geometric problems in elasticity, dimension reduction of thin films, and convex integration techniques for PDEs. She has organized international workshops and serves on editorial boards of journals like SIAM Journal of Mathematical Analysis. Teaching includes advanced courses on calculus of variations, real analysis, and partial differential equations. Her research also explores connections between stochastic processes (e.g., tug-of-war games) and PDEs, contributing to both pure and applied mathematical frameworks.
- Nonlinear Control
- Machine Learning
- Robotics
- +۵ مورد دیگر
Olav Egeland is a Professor at the Department of Mechanical and Industrial Engineering, NTNU. He holds a siv.ing (1984) and dr.ing (1987) in Electrical Engineering from NTNU. Previously, he served as Professor of Robotics at the Department of Engineering Cybernetics (1989–2004), and led Marine Cybernetics AS as CTO/CEO (2004–2011). His academic roles include Head of Department of Engineering Cybernetics (1996–1998), Vice Dean of Faculty of Electrical Engineering and Telecommunications, and Research Committee member at NTNU. He contributed to strategic programs like SFI Offshore Mechatronics and the Centre of Ships and Ocean Structures. His research focuses on nonlinear control, machine learning for mechanical systems, robotics, and offshore applications. Notable awards include the Automatica Prize Paper Award (1996) and IEEE Outstanding Paper Award (2000). He has supervised 85 MSc and 30 PhD students, with recent advisees exploring topics like robotic welding, Hamiltonian dynamics learning, and generative AI in robotics. Key projects include vision systems for offshore drilling, laser scanning for aluminum welding, and adaptive control algorithms. His work spans publications in IEEE Transactions, European Journal of Control, and Springer monographs, emphasizing modeling, simulation, and advanced control techniques. Education: Siv.ing (Electrical Engineering), NTNU, 1984 Dr.ing (Electrical Engineering), NTNU, 1987 Research Themes: Nonlinear control and adaptive systems Machine learning applications in robotics and offshore engineering Robotics vision and sensor-based control Offshore mechatronics and crane dynamics Grants & Roles: Strategic University Program in Marine Cybernetics (1997–2004) Work Package Lead in SFI Offshore Mechatronics Research collaborations in European Journal of Control and IEEE Transactions Labs & Teams: Active in NTNU’s robotics and control research groups, contributing to industrial partnerships like Marine Cybernetics AS and SFI initiatives.
Professor Eugene Lytvynov is a mathematician affiliated with Swansea University's School of Mathematics and Computer Science. He holds the academic rank of Professor in the Mathematics department. His research focuses on infinite-dimensional analysis, point processes, noncommutative probability, and umbral calculus. Recent work explores non-Abelian anyon quasiparticles and basis-free umbral calculus. He is available to supervise postgraduate students and maintains active research collaborations through platforms like ORCID, ResearchGate, and Google Scholar. His expertise spans advanced mathematical fields including stochastic processes, quantum probability, and operator algebras. Key research areas include the analysis of Radon measures, quasi-free states, and commutation relations in multicomponent systems. He has contributed extensively to the study of determinantal point processes, particle-hole transformations, and Fock space representations. Professor Lytvynov's publications reflect a strong emphasis on theoretical frameworks, with notable work on Segal-Bargmann transforms, Stirling operators, and Meixner-class orthogonal polynomials. His research often bridges pure mathematics and quantum physics, addressing topics like anyon statistics and non-Gaussian white noise calculus. He is accessible via email at e.lytvynov@swansea.ac.uk and can be reached at the Computational Foundry, Bay Campus. His academic contributions include over 50 peer-reviewed articles, with a focus on advancing analytical tools in infinite-dimensional spaces and quantum systems.
فقط ۷۵۰ نتیجه اول نمایش داده میشود. برای رسیدن به نتایج دقیقتر، جستوجو را با فیلترها محدودتر کنید.