2021 - Jack S. Kilby Signal Processing Medal For groundbreaking contributions to compressed sensing.
2013 - Fellow of the American Mathematical Society
2010 - George Pólya Prize
2009 - Fellow of the American Academy of Arts and Sciences
2008 - Member of the National Academy of Sciences
2008 - National Science Foundation Alan T. Waterman Award Mathematics
2007 - Fellow of the Royal Society, United Kingdom
2006 - Fellow of the MacArthur Foundation
2006 - Fields Medal of International Mathematical Union (IMU) For his contributions to partial differential equations, combinatorics, harmonic analysis and additive number theory.
1999 - Fellow of Alfred P. Sloan Foundation
Terence Tao mainly focuses on Combinatorics, Mathematical analysis, Discrete mathematics, Nonlinear system and Pure mathematics. His Combinatorics study focuses on Conjecture in particular. His Mathematical analysis research incorporates themes from Scattering and Mathematical physics.
Terence Tao focuses mostly in the field of Discrete mathematics, narrowing it down to topics relating to Convex optimization and, in certain cases, Sigma. His Pure mathematics study also includes
Algebra that connect with fields like Operator norm and Spectral theorem,
Norm which is related to area like Fourier series. His Random matrix study also includes fields such as
Hermitian matrix most often made with reference to Universality,
Gaussian which is related to area like Restricted isometry property.
His main research concerns Combinatorics, Discrete mathematics, Pure mathematics, Mathematical analysis and Conjecture. He combines subjects such as Matrix, Random matrix, Bounded function and Inverse with his study of Combinatorics. His biological study spans a wide range of topics, including Universality and Random variable.
His research ties Polynomial and Discrete mathematics together. He has included themes like Energy, Scattering and Nonlinear system in his Mathematical analysis study. His Nonlinear system study combines topics from a wide range of disciplines, such as Schrödinger equation and Mathematical physics.
Combinatorics, Bounded function, Discrete mathematics, Pure mathematics and Conjecture are his primary areas of study. Terence Tao works in the field of Combinatorics, focusing on Abelian group in particular. Terence Tao has researched Bounded function in several fields, including Arbitrarily large, Integer, Torsion and Prime.
The Discrete mathematics study combines topics in areas such as Cardinality and Random matrix. His Pure mathematics research is multidisciplinary, incorporating elements of Nabla symbol and Ode. His study in Conjecture is interdisciplinary in nature, drawing from both Zero, Unit circle, Constant, Arithmetic progression and Function.
Terence Tao mostly deals with Combinatorics, Conjecture, Bounded function, Lambda and Liouville function. His Combinatorics research is multidisciplinary, relying on both Discrete mathematics and Inverse. Terence Tao interconnects Random matrix, Algebra over a field and Random field in the investigation of issues within Discrete mathematics.
His Conjecture research incorporates elements of Multiplicative function and Arithmetic progression. His Bounded function research is multidisciplinary, incorporating perspectives in Collatz conjecture, Random variable, Pure mathematics, Natural number and Natural density. His work carried out in the field of Lambda brings together such families of science as Minor, Identity, State, Unit and Eigenvalues and eigenvectors.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
E.J. Candes;J. Romberg;T. Tao.
IEEE Transactions on Information Theory (2006)
Decoding by linear programming
E.J. Candes;T. Tao.
IEEE Transactions on Information Theory (2005)
Stable signal recovery from incomplete and inaccurate measurements
Emmanuel J. Candès;Justin K. Romberg;Terence Tao.
Communications on Pure and Applied Mathematics (2006)
Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?
E.J. Candes;T. Tao.
IEEE Transactions on Information Theory (2006)
The Dantzig selector: Statistical estimation when p is much larger than n
Emmanuel Candes;Terence Tao.
Annals of Statistics (2007)
The Power of Convex Relaxation: Near-Optimal Matrix Completion
Emmanuel J Candes;Terence Tao.
IEEE Transactions on Information Theory (2010)
Endpoint Strichartz estimates
Markus Aloysius Keel;Terence Tao.
American Journal of Mathematics (1998)
Nonlinear dispersive equations : local and global analysis
Terence Tao.
(2006)
Topics in Random Matrix Theory
Terence Tao.
(2012)
The primes contain arbitrarily long arithmetic progressions
Benjamin Green;Terence Tao.
Annals of Mathematics (2008)
Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
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