Faculty

Institution

Unit

Venue

George Papanicolaou

Robert Grimmett Professor of Mathematics

Stanford University

Affiliations

School of Humanities and Sciences

Mathematics

George Papanicolaou is currently serving as a Mathematics Robert Grimmett Professor of Mathematics at Stanford University.

Honors

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Experiences

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Education

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George Papanicolaou

Stanford University

Robert Grimmett Professor of Mathematics

You can click a keyword to filter the displayed items

applied mathematics applied physics materials science mathematical physics physics wave propagation inverse problems random media fluid dynamics financial economics wave motion wave theory empirical finance time reversal mathematical finance particle physics fluid mechanics dynamical systems computational imaging acoustical engineering mathematical optimization biomedical imaging mathematical sciences option pricing optical imaging volatility modeling wave scattering random medium nonlinear phenomena nonlinear science numerical simulations interferometry stochastic calculus nonlinear wave propagation microwave technology wireless communications perturbation methods nonlinear schrodinger equation stochastic volatility stochastic phenomena optical metrology 3d imaging stochastic differential equations financial mathematics wave optics one-dimensional random medium motion estimation geophysical research ocean engineering hydraulics stochastic dynamical systems derivative pricing stochastic systems financial modeling transport processes limit theorem one-dimensional random media transport equations water science thermal engineering fluid flow nonlinear dynamics condensed matter elasticity (physics) applied algebra nonlinear equations mathematical modelling physical oceanography surface waves time perception wireless lan heterogeneous media effective parameters analytic continuation critical dimension saturated porous medium finance wave nonlinearity financial engineering economics econophysics nonlinear waves quantitative analysis (finance)

Notable Scholarly Works

Notable Federal Grants

Collaborators

Correlation-Informed Ordered Dictionary Learning for Imaging in Complex Media. Proceedings of the National Academy of Sciences (2024)

Miguel MoscosoAlexei NovikovGeorge PapanicolaouChrysoula Tsogka

image analysiscommunicationdata sciencecomputer sciencepattern recognitioncomputational imagingcomputer visioncomplex mediamedical imagingdictionary learningmachine learning

Super-Resolution in Disordered Media Using Neural Networks. arXiv (Cornell University) (2024)

Christie, AlexanderLeibovich, MatanMoscoso, MiguelNovikov, AlexeiPapanicolaou, GeorgeTsogka, Chrysoula

neural networksneural network (machine learning)computer sciencesuper-resolution imagingdisordered media

Statistical Stability of Correlation Based Imaging Algorithms. IEEE Transactions on Computational Imaging (2023)

Matan LeibovichGeorge PapanicolaouChrysoula Tsogka

computational imagingdata scienceimaging algorithmsstatisticscorrelationstatistical stability

Wave-Informed Dictionary Learning for High-Resolution Imaging in Complex Media. arXiv (Cornell University) (2023)

Moscoso, MiguelNovikov, AlexeiPapanicolaou, GeorgeTsogka, Chrysoula

computational imagingwave-informed dictionary learningcomputer visionbiomedical imagingcomplex mediamedical imagingmachine learninghigh-resolution imagingapplied mathematics

Quantitative Phase and Absorption Contrast Imaging. IEEE Transactions on Computational Imaging (2022)

Miguel MoscosoAlexei NovikovGeorge PapanicolaouChrysoula Tsogka

quantitative phasecomputational imagingabsorption contrast imagingbiomedical imagingmedical imagingmaterials scienceradiologyquantitative phase imaging

Correlation Based Imaging for Rotating Satellites. SIAM Journal on Imaging Sciences (2021)

Matan LeibovichGeorge PapanicolaouChrysoula Tsogka

satellite imagingremote sensingplanetary scienceslunar sciencecorrelationastronomyobservational astronomy

Fast Signal Recovery From Quadratic Measurements. IEEE Transactions on Signal Processing (2021)

Miguel MoscosoAlexei NovikovGeorge PapanicolaouChrysoula Tsogka

electrical engineeringquadratic measurementssignal processingfast signal recovery

Performance of Correlation-Based Imaging With a Bistatic Configuration Toward Resilient Multistatic Imaging of Space Debris. (2021)

Stacey HuangHoward A. ZebkerAnnie NguyenGeorge PapanicolaouArlen Schmidt

space debriscorrelation-based imagingplanetary sciencesbistatic configurationsatellite debrisresilient multistatic imagingspace science

References. Edward Elgar Publishing eBooks (2021)

Andrew JohnstonRobert Huggins

social innovationstrategic managementsmall business managementinterorganizational relationshipsbusinessindustrial collaborationuniversity collaborationcollaboration processtechnology transfermanagemententrepreneurshipuniversity knowledgeinter-firm coordination

Sparse Signal Recovery From Correlation Measurements Using the Noise Collector. (2021)

Miguel MoscosoAlexei NovikovGeorge PapanicolaouChrysoula Tsogka

statisticsnoise collectorsignal processingcorrelation measurementssparse signal recovery

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George Papanicolaou

Robert Grimmett Professor of Mathematics

Stanford University

Affiliations

School of Humanities and Sciences

Mathematics

George Papanicolaou is currently serving as a Mathematics Robert Grimmett Professor of Mathematics at Stanford University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

George Papanicolaou

Stanford University

Robert Grimmett Professor of Mathematics

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Correlation-Informed Ordered Dictionary Learning for Imaging in Complex Media. Proceedings of the National Academy of Sciences (2024)

Miguel MoscosoAlexei NovikovGeorge PapanicolaouChrysoula Tsogka

image analysiscommunicationdata sciencecomputer sciencepattern recognitioncomputational imagingcomputer visioncomplex mediamedical imagingdictionary learningmachine learning

Super-Resolution in Disordered Media Using Neural Networks. arXiv (Cornell University) (2024)

Christie, AlexanderLeibovich, MatanMoscoso, MiguelNovikov, AlexeiPapanicolaou, GeorgeTsogka, Chrysoula

neural networksneural network (machine learning)computer sciencesuper-resolution imagingdisordered media

Statistical Stability of Correlation Based Imaging Algorithms. IEEE Transactions on Computational Imaging (2023)

Matan LeibovichGeorge PapanicolaouChrysoula Tsogka

computational imagingdata scienceimaging algorithmsstatisticscorrelationstatistical stability

Wave-Informed Dictionary Learning for High-Resolution Imaging in Complex Media. arXiv (Cornell University) (2023)

Moscoso, MiguelNovikov, AlexeiPapanicolaou, GeorgeTsogka, Chrysoula

computational imagingwave-informed dictionary learningcomputer visionbiomedical imagingcomplex mediamedical imagingmachine learninghigh-resolution imagingapplied mathematics

Quantitative Phase and Absorption Contrast Imaging. IEEE Transactions on Computational Imaging (2022)

Miguel MoscosoAlexei NovikovGeorge PapanicolaouChrysoula Tsogka

quantitative phasecomputational imagingabsorption contrast imagingbiomedical imagingmedical imagingmaterials scienceradiologyquantitative phase imaging

Correlation Based Imaging for Rotating Satellites. SIAM Journal on Imaging Sciences (2021)

Matan LeibovichGeorge PapanicolaouChrysoula Tsogka

satellite imagingremote sensingplanetary scienceslunar sciencecorrelationastronomyobservational astronomy

Fast Signal Recovery From Quadratic Measurements. IEEE Transactions on Signal Processing (2021)

Miguel MoscosoAlexei NovikovGeorge PapanicolaouChrysoula Tsogka

electrical engineeringquadratic measurementssignal processingfast signal recovery

Performance of Correlation-Based Imaging With a Bistatic Configuration Toward Resilient Multistatic Imaging of Space Debris. (2021)

Stacey HuangHoward A. ZebkerAnnie NguyenGeorge PapanicolaouArlen Schmidt

space debriscorrelation-based imagingplanetary sciencesbistatic configurationsatellite debrisresilient multistatic imagingspace science

References. Edward Elgar Publishing eBooks (2021)

Andrew JohnstonRobert Huggins

Sparse Signal Recovery From Correlation Measurements Using the Noise Collector. (2021)

Miguel MoscosoAlexei NovikovGeorge PapanicolaouChrysoula Tsogka

statisticsnoise collectorsignal processingcorrelation measurementssparse signal recovery

1
2
3
4
5
38
10 / page

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engineering

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Eric Vanden-Eijnden

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analytics

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