Faculty

Institution

Unit

Venue

Mostafa Kaveh

Professor

University of Minnesota

Affiliations

Duluth

Swenson College of Science and Engineering

Electrical Engineering Department

Mostafa Kaveh is currently serving as a Duluth Professor at University of Minnesota.

Honors

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Experiences

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Education

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Mostafa Kaveh

University of Minnesota

Professor

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electrical engineering signal processing computer science digital signal processing systems engineering machine learning acoustic signal processing computer vision speech processing communications systems engineering instrumentation audio signal processing wireless communications medical imaging transaction processing estimation theory acoustical engineering array processing spectrum estimation diffraction tomography audio electroacoustics pattern recognition image restoration statistical signal processing biomedical imaging state estimation radar signal processing vehicular technology parameter estimation fading channels coherent signal-subspace processing acoustic emissions vehicle technology spectrum management object tracking sensor signal processing information theory aerospace technology aeronautics beamforming location estimation image processing anisotropic diffusion diversity systems wideband sources cancer imaging localization genome biology spectral theory channel model channel modeling mobile communication positron emission tomography radio communication medical image analysis audio analysis image enhancement geophysical signal processing multiple wide-band sources second-order statistics frequency estimation shadow fading signal-subspace processing acoustic tomography regenerative relays arma parameter estimation sample autocorrelation function computer graphics microwave technology information technology cybernetics computational imaging image transmission digital imaging medical image computing

Notable Scholarly Works

Notable Federal Grants

Collaborators

Joint Block Low Rank and Sparse Matrix Recovery in Array Self-Calibration Off-Grid Doa Estimation. arXiv (Cornell University) (2019)

Cheng-Yu HungMostafa Kaveh

machine learningsparse matrix recoverydigital signal processingpattern recognitionapplied mathematicsarray processingoptoelectronicsstate estimation

Linearly Constrained Smoothing Group Sparsity Solvers in Off-Grid Model.. arXiv (Cornell University) (2019)

Cheng-Yu HungMostafa Kaveh

machine learninggroup sparsity solversmathematical optimizationconstrained optimizationoff-grid modelformal methodsmodeling and simulationapplied mathematicscomputer science

Self‐Calibrated Interpolation of Non‐Cartesian Data With Grappa in Parallel Imaging. Magnetic Resonance in Medicine (2019)

Seng‐Wei ChiehMostafa KavehMehmet AkçakayaSteen Moeller

magnetic resonance imagingmedicinenon-cartesian dataneuroimagingbrain imagingparallel imagingmedical imagingbiomedical imagingmedical image analysishealth sciencesself-calibrated interpolation

Low Rank Matrix Recovery for Joint Array Self-Calibration and Sparse Model Doa Estimation. arXiv (Cornell University) (2017)

Cheng-Yu HungMostafa Kaveh

systems engineeringsensor arrayscomputer visionjoint array self-calibrationaerospace engineeringmachine learningnumerical linear algebraapplied mathematicsstate estimation

Smoothed Optimization for Sparse Off-Grid Directions-Of-Arrival Estimation. (2017)

Cheng-Yu HungMostafa Kaveh

mathematical optimizationestimation theorymachine learningapplied mathematics

Channel Occupancy-Based Dynamic Spectrum Leasing in Multichannel Crns: Strategies and Performance Evaluation. IEEE Transactions on Communications (2016)

Indika A. M. BalapuwadugeFrank Y. LiAmogh RajannaMostafa Kaveh

communications systemswireless communicationsspectrum managementmultichannel crnselectrical engineeringperformance evaluation

Super-Resolution Doa Estimation via Continuous Group Sparsity in the Covariance Domain. (2016)

Cheng-Yu HungMostafa Kaveh

super-resolution doa estimationmachine learningcontinuous group sparsityhigh-dimensional statisticsestimation theorycomputer visionstatisticsdata sciencecomputer sciencecovariance domain

Direction-Finding Based on the Theory of Super-Resolution in Sparse Recovery Algorithms. (2015)

Cheng-Yu HungMostafa Kaveh

sparse recovery algorithmsmachine learningtheory of computationcompressive sensingcomputer visionapplied mathematicscomputer science

Performance Analysis of Rateless Codes in an Aloha Wireless Ad Hoc Network. IEEE Transactions on Wireless Communications (2015)

Amogh RajannaItsik BergelMostafa Kaveh

rateless codeselectrical engineering

Performance Evaluation of Three Dynamic Channel Access Strategies for Spectrum Leasing in Crns. (2015)

Indika A. M. BalapuwadugeAmogh RajannaMostafa KavehFrank Y. Li

spectrum managementspectrum leasingcommunications systemselectrical engineering

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Mostafa Kaveh

Professor

University of Minnesota

Affiliations

Duluth

Swenson College of Science and Engineering

Electrical Engineering Department

Mostafa Kaveh is currently serving as a Duluth Professor at University of Minnesota.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Mostafa Kaveh

University of Minnesota

Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Joint Block Low Rank and Sparse Matrix Recovery in Array Self-Calibration Off-Grid Doa Estimation. arXiv (Cornell University) (2019)

Cheng-Yu HungMostafa Kaveh

machine learningsparse matrix recoverydigital signal processingpattern recognitionapplied mathematicsarray processingoptoelectronicsstate estimation

Linearly Constrained Smoothing Group Sparsity Solvers in Off-Grid Model.. arXiv (Cornell University) (2019)

Cheng-Yu HungMostafa Kaveh

machine learninggroup sparsity solversmathematical optimizationconstrained optimizationoff-grid modelformal methodsmodeling and simulationapplied mathematicscomputer science

Self‐Calibrated Interpolation of Non‐Cartesian Data With Grappa in Parallel Imaging. Magnetic Resonance in Medicine (2019)

Seng‐Wei ChiehMostafa KavehMehmet AkçakayaSteen Moeller

magnetic resonance imagingmedicinenon-cartesian dataneuroimagingbrain imagingparallel imagingmedical imagingbiomedical imagingmedical image analysishealth sciencesself-calibrated interpolation

Low Rank Matrix Recovery for Joint Array Self-Calibration and Sparse Model Doa Estimation. arXiv (Cornell University) (2017)

Cheng-Yu HungMostafa Kaveh

systems engineeringsensor arrayscomputer visionjoint array self-calibrationaerospace engineeringmachine learningnumerical linear algebraapplied mathematicsstate estimation

Smoothed Optimization for Sparse Off-Grid Directions-Of-Arrival Estimation. (2017)

Cheng-Yu HungMostafa Kaveh

mathematical optimizationestimation theorymachine learningapplied mathematics

Channel Occupancy-Based Dynamic Spectrum Leasing in Multichannel Crns: Strategies and Performance Evaluation. IEEE Transactions on Communications (2016)

Indika A. M. BalapuwadugeFrank Y. LiAmogh RajannaMostafa Kaveh

communications systemswireless communicationsspectrum managementmultichannel crnselectrical engineeringperformance evaluation

Super-Resolution Doa Estimation via Continuous Group Sparsity in the Covariance Domain. (2016)

Cheng-Yu HungMostafa Kaveh

super-resolution doa estimationmachine learningcontinuous group sparsityhigh-dimensional statisticsestimation theorycomputer visionstatisticsdata sciencecomputer sciencecovariance domain

Direction-Finding Based on the Theory of Super-Resolution in Sparse Recovery Algorithms. (2015)

Cheng-Yu HungMostafa Kaveh

sparse recovery algorithmsmachine learningtheory of computationcompressive sensingcomputer visionapplied mathematicscomputer science

Performance Analysis of Rateless Codes in an Aloha Wireless Ad Hoc Network. IEEE Transactions on Wireless Communications (2015)

Amogh RajannaItsik BergelMostafa Kaveh

rateless codeselectrical engineering

Performance Evaluation of Three Dynamic Channel Access Strategies for Spectrum Leasing in Crns. (2015)

Indika A. M. BalapuwadugeAmogh RajannaMostafa KavehFrank Y. Li

spectrum managementspectrum leasingcommunications systemselectrical engineering

1
2
3
4
5
22
10 / page

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Similar Faculty Members

Michael D. Zoltowski

Institution

Purdue University

localization

interference cancellation

James H McClellan

Institution

Georgia Institute of Technology

electrical engineering

signal processing

Randy Moses

Institution

Ohio State University

industrial informatics

radar signal processing

Louis Scharf

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Colorado State University

industrial informatics

statistical signal processing

Dominic K.C. Ho

Institution

University of Missouri

sensor

localization

Erchin Serpedin

Institution

Texas A&M University

electrical engineering

systems engineering

Russell M Mersereau

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Georgia Institute of Technology

computer science

computer vision

Andreas Spanias

Institution

Arizona State University

adaptive signal processing

applied artificial intelligence

Saleem A. Kassam

Institution

University of Pennsylvania

radiology

signal separation

Gonzalo R. Arce

Institution

University of Delaware

computational imaging

statistics