Faculty

Institution

Unit

Venue

Alan Willsky

Professor Emeritus Electrical Engineering and Computer Science

Massachusetts Institute of Technology

Affiliations

MIT Schwarzman College of Computing

Data, Systems, and Society

School of Engineering

Electrical Engineering and Computer Science

Medical Engineering and Science

Alan Willsky is currently serving as a Data, Systems, And Society Professor Emeritus Electrical Engineering and Computer Science at Massachusetts Institute of Technology.

Honors

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Experiences

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Education

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Alan Willsky

Massachusetts Institute of Technology

Professor Emeritus Electrical Engineering and Computer Science

You can click a keyword to filter the displayed items

computer science machine learning applied mathematics systems engineering electrical engineering signal processing computer vision automatic control control systems pattern recognition digital signal processing image segmentation optical engineering graph theory statistical signal processing information theory biomedical imaging failure detection digital image processing state estimation estimation theory transaction processing control science signal reconstruction multiscale analysis synthetic aperture radar control optimization mathematical control theory graphical models reliability engineering aeronautics supervised learning control engineering machine vision mathematical optimization machine learning research audio signal processing gaussian graphical models bayesian analysis object tracking neuroinformatics bayesian inference wavelet theory acoustic signal processing satellite imaging nonparametric belief propagation belief propagation computational intelligence speech processing computational imaging condition monitoring array processing mumford-shah functional linear estimation information technology statistical methodology computational statistics information fusion image denoising adaptive control data fusion object recognition message passing tracking systems graph analysis optical flow approximate inference rotational processes multiresolution stochastic processes source localization dynamic systems image processing riccati equations descriptor systems medical image segmentation mutual information

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Signals and Systems, 2/E.. (2021)

Alan OppenheimAlan WillskyHamid

systems engineeringsignal processing

Convex Solution to a Joint Attitude and Spin-Rate Estimation Problem. Journal of Guidance Control and Dynamics (2015)

James SaundersonPablo A. ParriloAlan S. Willsky

control systemsspacecraft attitude controlspin-rate estimation problemconvex solutionjoint attitudecontrol sciencecontrol engineeringsystems engineeringguidance systemmathematical control theoryaerospace engineeringautomatic control

Semidefinite Descriptions of the Convex Hull of Rotation Matrices. SIAM Journal on Optimization (2015)

James SaundersonPablo A. ParriloAlan S. Willsky

semidefinite descriptionslinear algebraconvex hullsrotation matricesapplied mathematics

Sampling From Gaussian Markov Random Fields Using Stationary and Non-Stationary Subgraph Perturbations. IEEE Transactions on Signal Processing (2014)

Ying LiuOliver KosutAlan S. Willsky

transaction processingsamplingpattern recognitiondigital signal processingdata sciencesignal processinggraph signal processingnon-stationary subgraph perturbationsapplied mathematicseeg signal processingstatistical signal processingelectrical engineering

Semidefinite Relaxations for Optimization Problems Over Rotation Matrices. (2014)

James SaundersonPablo A. ParriloAlan S. Willsky

semidefinite relaxationsmachine learningrotation matricesapplied mathematicsmathematical optimization

Sparsity-Driven Synthetic Aperture Radar Imaging: Reconstruction, Autofocusing, Moving Targets, and Compressed Sensing. IEEE Signal Processing Magazine (2014)

Mujdat CetinIvana StojanovicOzben OnhonKush VarshneySadegh SamadiWilliam Clem KarlAlan S. Willsky

computer sciencecomputational imagingmachine learningsignal reconstructionimage reconstructiondigital signal processingremote sensingsynthetic aperture radardata sciencesignal processingcomputer visionradar signal processinggraph sparsityapplied mathematicscompressive sensing

Stochastic Variational Inference for Bayesian Time Series Models. International Conference on Machine Learning (2014)

Matthew JohnsonAlan Willsky

computer sciencemachine learningtime seriesbayesian analysisdata sciencestochastic variational inferencebayesian inference

Analyzing Hogwild Parallel Gaussian Gibbs Sampling. (2013)

Matthew JohnsonJames SaundersonAlan Willsky

computer sciencestatisticssamplingdata science

A New Class of Upper Bounds on the Log Partition Function. arXiv (Cornell University) (2013)

Wainwright, MartinJaakkola, Tommi S.Willsky, Alan

machine learninglog partition functionupper boundsmachine learning researchapplied mathematics

Diagonal and Low-Rank Decompositions and Fitting Ellipsoids to Random Points. (2013)

James SaundersonPablo A. ParriloAlan S. Willsky

low-rank decompositionstime seriesdata science

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Alan Willsky

Professor Emeritus Electrical Engineering and Computer Science

Massachusetts Institute of Technology

Affiliations

MIT Schwarzman College of Computing

Data, Systems, and Society

School of Engineering

Electrical Engineering and Computer Science

Medical Engineering and Science

Alan Willsky is currently serving as a Data, Systems, And Society Professor Emeritus Electrical Engineering and Computer Science at Massachusetts Institute of Technology.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Alan Willsky

Massachusetts Institute of Technology

Professor Emeritus Electrical Engineering and Computer Science

You can click a keyword to filter the displayed items

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Signals and Systems, 2/E.. (2021)

Alan OppenheimAlan WillskyHamid

systems engineeringsignal processing

Convex Solution to a Joint Attitude and Spin-Rate Estimation Problem. Journal of Guidance Control and Dynamics (2015)

James SaundersonPablo A. ParriloAlan S. Willsky

Semidefinite Descriptions of the Convex Hull of Rotation Matrices. SIAM Journal on Optimization (2015)

James SaundersonPablo A. ParriloAlan S. Willsky

semidefinite descriptionslinear algebraconvex hullsrotation matricesapplied mathematics

Sampling From Gaussian Markov Random Fields Using Stationary and Non-Stationary Subgraph Perturbations. IEEE Transactions on Signal Processing (2014)

Ying LiuOliver KosutAlan S. Willsky

Semidefinite Relaxations for Optimization Problems Over Rotation Matrices. (2014)

James SaundersonPablo A. ParriloAlan S. Willsky

semidefinite relaxationsmachine learningrotation matricesapplied mathematicsmathematical optimization

Sparsity-Driven Synthetic Aperture Radar Imaging: Reconstruction, Autofocusing, Moving Targets, and Compressed Sensing. IEEE Signal Processing Magazine (2014)

Mujdat CetinIvana StojanovicOzben OnhonKush VarshneySadegh SamadiWilliam Clem KarlAlan S. Willsky

Stochastic Variational Inference for Bayesian Time Series Models. International Conference on Machine Learning (2014)

Matthew JohnsonAlan Willsky

computer sciencemachine learningtime seriesbayesian analysisdata sciencestochastic variational inferencebayesian inference

Analyzing Hogwild Parallel Gaussian Gibbs Sampling. (2013)

Matthew JohnsonJames SaundersonAlan Willsky

computer sciencestatisticssamplingdata science

A New Class of Upper Bounds on the Log Partition Function. arXiv (Cornell University) (2013)

Wainwright, MartinJaakkola, Tommi S.Willsky, Alan

machine learninglog partition functionupper boundsmachine learning researchapplied mathematics

Diagonal and Low-Rank Decompositions and Fitting Ellipsoids to Random Points. (2013)

James SaundersonPablo A. ParriloAlan S. Willsky

low-rank decompositionstime seriesdata science

1
2
3
4
5
52
10 / page

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Institution

Rice University

biomedical imaging

scientific computing

José Príncipe

Institution

University of Florida

adaptive learning

general system

Alejandro Ribeiro

Institution

University of Pennsylvania

optimal design

swarm intelligence

Pramod K. Varshney

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Syracuse University

information fusion

internet of things

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3d object recognition

machine vision

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University of Florida

radar signal processing

wireless communication

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applied statistics

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analytics

information fusion

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biomedical imaging

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robot learning

robot network