Faculty

Institution

Unit

Venue

Ivan Selesnick

Professor Professor of Electrical and Computer Engineering and Professor of Biomedical Engineering and Radiology

New York University

Affiliations

Tandon School of Engineering

Biomedical Engineering

Electrical and Computer Engineering

Grossman School of Medicine

Ophthalmology

Ivan Selesnick is currently serving as a Biomedical Engineering Professor Professor of Electrical and Computer Engineering and Professor of Biomedical Engineering and Radiology at New York University.

Honors

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Experiences

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Education

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Ivan Selesnick

New York University

Professor Professor of Electrical and Computer Engineering and Professor of Biomedical Engineering and Radiology

You can click a keyword to filter the displayed items

signal processing digital signal processing electrical engineering computer science applied mathematics machine learning computer vision neuroscience wavelet theory pattern recognition filter design image denoising transaction processing optical engineering wavelets photonics computational imaging statistical signal processing medical imaging fault diagnosis condition monitoring power electronics speech processing sparse representations audio signal processing acoustic signal processing sparse optimization reliability engineering biomedical imaging convex analysis eeg signal processing information filtering system fault detection clinical neurology parkinson disease eye movements complex wavelet domain video denoising compressive sensing video processing fault analysis clinical neuroscience signal separation signal reconstruction image restoration failure detection acoustical engineering total variation denoising sparse regularization non-convex regularization fir filters machine learning research convex optimization optical coherence tomography wavelet bases multiwavelet bases information technology mechanical science mathematical optimization machine vision microwave technology biomedical informatics biomedical analysis medical image computing electronics array processing analog design graph sparsity estimation theory brain imaging wavelet transforms bivariate shrinkage hilbert transform pairs biomedical signal processing overcomplete wavelet transforms total variation global optimization biosignal processing soft computing multi-resolution method waveform analysis

Notable Scholarly Works

Notable Federal Grants

Collaborators

Sparsity-Enhanced Multilayered Non-Convex Regularization With Epigraphical Relaxation for Debiased Signal Recovery. IEEE Transactions on Signal Processing (2025)

signal recoverysignal processingregularization (mathematics)sparse representationscomputational imagingcompressive sensingconvex analysisdigital signal processingepigraphical relaxationapplied mathematicssignal reconstruction

Unrolling Nonconvex Graph Total Variation for Image Denoising. 2022 IEEE International Conference on Image Processing (ICIP) (2025)

image restorationimage denoisingcomputational imagingdigital image processingimage analysisapplied mathematics

Research Progress of Eye Movement Analyses and Its Detection Algorithms in Alzheimer’s Disease. Current Alzheimer Research (2024)

Xueying HeIvan SelesnickMing Zhu

neurologydetection algorithmsalzheimer's diseasecomputer visionvision researchneuroscienceeye movement analysesresearch progressophthalmologymachine learning

Sparsity-Enhanced Multilayered Non-Convex Regularization With Epigraphical Relaxation for Debiased Signal Recovery. arXiv (Cornell University) (2024)

Katsuma, AkariKyochi, SeisukeOno, ShunsukeSelesnick, Ivan

non-convex regularizationcomputational scienceregularization (mathematics)debiased signal recoveryepigraphical relaxationapplied mathematics

Convex Non-Convex Variational Models. Springer eBooks (2023)

Alessandro LanzaSerena MorigiIvan W. SelesnickFiorella Sgallari

variational analysisnumerical analysisapplied mathematics

Epigraphically-Relaxed Linearly-Involved Generalized Moreau-Enhanced Model for Layered Mixed Norm Regularization. 2022 IEEE International Conference on Image Processing (ICIP) (2023)

Akari KatsumaSeisuke KyochiShunsuke OnoIvan Selesnick

deep learningmoreau-enhanced modelcontinuum modelingmachine learningmaterials science

Image Processing: Algorithms and Systems XXI Conference Overview and Papers Program. IS&T International Symposium on Electronic Imaging Science and Technology (2023)

Sos AgaianKaren EgiazarianAtanas GotchevGözde AkarAlessandro FoiPaul GaderJohn HandleyVladimir LukinMarek OgielaGiovanni RamponiIvan Selesnick

image processingsystems engineeringpapers programmachine learning

Phenomenology Based Decomposition of Sea Clutter With a Secondary Target Classifier. 2022 IEEE Radar Conference (RadarConf22) (2023)

Masoud FarshchianBenjamin CowenIvan Selesnick

secondary target classifierenvironmental scienceclassification methodmultiple classifier systemsea clutterpattern recognitionmachine learning

Accuracy of Clinical Versus Oculographic Detection of Pathological Saccadic Slowing. Journal of the Neurological Sciences (2022)

Scott N. GrossmanRachel CalixTodd HudsonJohn Ross RizzoIvan SelesnickSteven FruchtSteven L. GalettaLaura J. BalcerJanet C. Rucker

neurologyclinical neurologyneuroscienceclinical neurosciencestroke

A Kalman Filter Framework for Simultaneous Lti Filtering and Total Variation Denoising. IEEE Transactions on Signal Processing (2022)

Arman Kheirati RooniziIvan W. Selesnick

total variation denoisingsignal processingelectrical engineeringdigital signal processingkalman filter framework

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Ivan Selesnick

Professor Professor of Electrical and Computer Engineering and Professor of Biomedical Engineering and Radiology

New York University

Affiliations

Tandon School of Engineering

Biomedical Engineering

Electrical and Computer Engineering

Grossman School of Medicine

Ophthalmology

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Ivan Selesnick

New York University

Professor Professor of Electrical and Computer Engineering and Professor of Biomedical Engineering and Radiology

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Sparsity-Enhanced Multilayered Non-Convex Regularization With Epigraphical Relaxation for Debiased Signal Recovery. IEEE Transactions on Signal Processing (2025)

Unrolling Nonconvex Graph Total Variation for Image Denoising. 2022 IEEE International Conference on Image Processing (ICIP) (2025)

image restorationimage denoisingcomputational imagingdigital image processingimage analysisapplied mathematics

Research Progress of Eye Movement Analyses and Its Detection Algorithms in Alzheimer’s Disease. Current Alzheimer Research (2024)

Xueying HeIvan SelesnickMing Zhu

neurologydetection algorithmsalzheimer's diseasecomputer visionvision researchneuroscienceeye movement analysesresearch progressophthalmologymachine learning

Sparsity-Enhanced Multilayered Non-Convex Regularization With Epigraphical Relaxation for Debiased Signal Recovery. arXiv (Cornell University) (2024)

Katsuma, AkariKyochi, SeisukeOno, ShunsukeSelesnick, Ivan

non-convex regularizationcomputational scienceregularization (mathematics)debiased signal recoveryepigraphical relaxationapplied mathematics

Convex Non-Convex Variational Models. Springer eBooks (2023)

Alessandro LanzaSerena MorigiIvan W. SelesnickFiorella Sgallari

variational analysisnumerical analysisapplied mathematics

Epigraphically-Relaxed Linearly-Involved Generalized Moreau-Enhanced Model for Layered Mixed Norm Regularization. 2022 IEEE International Conference on Image Processing (ICIP) (2023)

Akari KatsumaSeisuke KyochiShunsuke OnoIvan Selesnick

deep learningmoreau-enhanced modelcontinuum modelingmachine learningmaterials science

Image Processing: Algorithms and Systems XXI Conference Overview and Papers Program. IS&T International Symposium on Electronic Imaging Science and Technology (2023)

Sos AgaianKaren EgiazarianAtanas GotchevGözde AkarAlessandro FoiPaul GaderJohn HandleyVladimir LukinMarek OgielaGiovanni RamponiIvan Selesnick

image processingsystems engineeringpapers programmachine learning

Phenomenology Based Decomposition of Sea Clutter With a Secondary Target Classifier. 2022 IEEE Radar Conference (RadarConf22) (2023)

Masoud FarshchianBenjamin CowenIvan Selesnick

secondary target classifierenvironmental scienceclassification methodmultiple classifier systemsea clutterpattern recognitionmachine learning

Accuracy of Clinical Versus Oculographic Detection of Pathological Saccadic Slowing. Journal of the Neurological Sciences (2022)

Scott N. GrossmanRachel CalixTodd HudsonJohn Ross RizzoIvan SelesnickSteven FruchtSteven L. GalettaLaura J. BalcerJanet C. Rucker

neurologyclinical neurologyneuroscienceclinical neurosciencestroke

A Kalman Filter Framework for Simultaneous Lti Filtering and Total Variation Denoising. IEEE Transactions on Signal Processing (2022)

Arman Kheirati RooniziIvan W. Selesnick

total variation denoisingsignal processingelectrical engineeringdigital signal processingkalman filter framework

1
2
3
4
5
27
10 / page

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video compression

Jelena Kovaćević

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biometric recognition

wavelet

Truong Nguyen

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geometric modeling

3d modeling

Antonio Ortega

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signal processing

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communications system

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tensor factorizations

Gert Cauwenberghs

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neural interface

brain-like computing