Faculty

Institution

Unit

Venue

Jelena Kovaćević

William R Berkley Professor

New York University

Affiliations

Tandon School of Engineering

Electrical and Computer Engineering

Jelena Kovaćević is currently serving as an Electrical And Computer Engineering William R Berkley Professor at New York University.

Honors

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Experiences

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Education

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Jelena Kovaćević

New York University

William R Berkley Professor

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signal processing computer science machine learning applied mathematics digital signal processing graph theory computer vision electrical engineering engineering pattern recognition image segmentation graph processing digital image processing graph signal processing filter design biomedical imaging filter bank wavelet theory graph analysis optical engineering structural health monitoring speech processing graphology transaction processing 3d computer vision time-frequency plane spectral theory filter (signal processing) image coding information theory multidimensional signal processing sampling theory hyperspectral imaging image classification signal recovery scientific computing histopathology image representation 3d vision statistical signal processing eeg signal processing reproducible research image compression data compression rail transport active mask segmentation cayley transform wireless communications information technology automatic control power electronics reference frame sparse representations sensor signal processing semi-supervised learning classification method image denoising biomedical photonics correlating transforms dynamic response otitis media track monitoring graph signals non-convex penalties multiresolution classification germ layer components convex formulation hidden fields intelligent acquisition local histograms numerical simulations fractals image communication biomedical analysis mechanical science multimedia information processing women's studies gender studies digital imaging technology gender diversity biometric recognition image analysis gender inequality

Notable Scholarly Works

Notable Federal Grants

Collaborators

Board 238: Collaborative Research: Agep Fc-Pam: Project Elevate (Equity-Focused Launch to Empower and Value Agep Faculty to Thrive in Engineering). (2024)

Alaine AllenDarlene SaporuElisa RiedoShelley AnnaLinda DeAngeloAndrew DouglasNathalie FelciaiNeetha KhanJelena KovacevicStacey MarksWilliam SandersTuviah "Ed" SchlesingerYao WangJacqueline RohdeCharlie DíazNelson Zounlomè

engineeringcollaborative researchagep fc-pamengineering educationequity-focused launchproject elevate

Board 354: Project Elevate: Promoting Sustained Equitable Change Among Black, Latinx, and Indigenous Engineering Faculty. (2024)

Alaine AllenDarlene SaporuElisa RiedoShelley AnnaLinda DeAngeloAndrew DouglasNathalie FelciaiNeetha KhanJelena KovacevicStacey MarksWilliam SandersTuviah SchlesingerYao WangNelson ZounlomèCharlie Díaz

indigenous engineering facultyequitable changeengineering

Development and Validation of an Automated Classifier to Diagnose Acute Otitis Media in Children. JAMA Pediatrics (2024)

Nader ShaikhShannon J. ConwayJelena KovačevićFilipe CondessaTimothy R. ShopeMary Ann HaralamCatherine CampeseMatthew C. LeeTomas LarssonZafer CavdarAlejandro Hoberman

automatic classificationcritical carediagnostic systemspediatricsacute otitis mediadiagnosisclassifier systems

From Nano to Macro: An Overview of the Ieee Bio Image and Signal Processing Technical Committee. IEEE Signal Processing Magazine (2023)

Selin AviyenteAlejandro F. FrangiErik MeijeringArrate Muñoz-BarrutiaMichael LieblingDimitri Van De VilleJean-Christophe Olivo-MarinJelena KovačevićMichael Unser

nanotechnologybioimage analysisengineeringnanoscale systemscommunications systemsdigital signal processingieee bio imagecomputer engineeringsignal processingnanobiotechnologyelectrical engineering

A Framework for Low Communication Approaches for Large Scale 3D Convolution. (2022)

Anuva KulkarniJelena KovacevicFranz Franchetti

deep learning3d computer visioncommunication

Privacy-Preserving Federated Multi-Task Linear Regression: A One-Shot Linear Mixing Approach Inspired by Graph Regularization. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2022)

Harlin LeeAndrea L. BertozziJelena KovacevicYuejie Chi

computer sciencestatisticsacoustic signal processingdata privacymachine learningfederated learningdigital signal processingspeech technologygraph regularizationdata sciencemulti-task linear regressionsignal processingdata miningspeech processing

Massive Scaling of Massif. (2020)

Anuva KulkarniJelena KovačevićFranz Franchetti

geomorphologymassive scalingearth science

Vector-Valued Graph Trend Filtering With Non-Convex Penalties. IEEE Transactions on Signal and Information Processing over Networks (2020)

Rohan VarmaHarlin LeeJelena KovacevicYuejie Chi

computer sciencenetwork analysisfilter (signal processing)trend analysismachine learningwireless communicationsdigital signal processinggraph theoryinformation technologygraph processingvector-valued graph trendsystems engineeringsignal processinggraph signal processingfiltering techniquenon-convex penaltieselectrical engineering

3D Point Cloud Denoising via Deep Neural Network Based Local Surface Estimation. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2019)

Chaojing DuanSiheng ChenJelena Kovacevic

computer sciencedeep neural networkmachine learningremote sensingpoint cloudscomputer visionimage denoising3d vision3d computer visionlocal surface estimation

A Damage Localization and Quantification Algorithm for Indirect Structural Health Monitoring of Bridges Using Multi-Task Learning. AIP conference proceedings (2019)

Jingxiao LiuMario BergésJacobo BielakJames H. GarrettJelena KovačevićHae Young Noh

damage localizationquantification algorithmengineeringmachine learningsystems engineeringartificial intelligencecivil engineeringmulti-task learningstructural health monitoring

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Jelena Kovaćević

William R Berkley Professor

New York University

Affiliations

Tandon School of Engineering

Electrical and Computer Engineering

Jelena Kovaćević is currently serving as an Electrical And Computer Engineering William R Berkley Professor at New York 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

Jelena Kovaćević

New York University

William R Berkley Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Board 238: Collaborative Research: Agep Fc-Pam: Project Elevate (Equity-Focused Launch to Empower and Value Agep Faculty to Thrive in Engineering). (2024)

engineeringcollaborative researchagep fc-pamengineering educationequity-focused launchproject elevate

Board 354: Project Elevate: Promoting Sustained Equitable Change Among Black, Latinx, and Indigenous Engineering Faculty. (2024)

indigenous engineering facultyequitable changeengineering

Development and Validation of an Automated Classifier to Diagnose Acute Otitis Media in Children. JAMA Pediatrics (2024)

Nader ShaikhShannon J. ConwayJelena KovačevićFilipe CondessaTimothy R. ShopeMary Ann HaralamCatherine CampeseMatthew C. LeeTomas LarssonZafer CavdarAlejandro Hoberman

automatic classificationcritical carediagnostic systemspediatricsacute otitis mediadiagnosisclassifier systems

From Nano to Macro: An Overview of the Ieee Bio Image and Signal Processing Technical Committee. IEEE Signal Processing Magazine (2023)

Selin AviyenteAlejandro F. FrangiErik MeijeringArrate Muñoz-BarrutiaMichael LieblingDimitri Van De VilleJean-Christophe Olivo-MarinJelena KovačevićMichael Unser

nanotechnologybioimage analysisengineeringnanoscale systemscommunications systemsdigital signal processingieee bio imagecomputer engineeringsignal processingnanobiotechnologyelectrical engineering

A Framework for Low Communication Approaches for Large Scale 3D Convolution. (2022)

Anuva KulkarniJelena KovacevicFranz Franchetti

deep learning3d computer visioncommunication

Harlin LeeAndrea L. BertozziJelena KovacevicYuejie Chi

Massive Scaling of Massif. (2020)

Anuva KulkarniJelena KovačevićFranz Franchetti

geomorphologymassive scalingearth science

Vector-Valued Graph Trend Filtering With Non-Convex Penalties. IEEE Transactions on Signal and Information Processing over Networks (2020)

Rohan VarmaHarlin LeeJelena KovacevicYuejie Chi

3D Point Cloud Denoising via Deep Neural Network Based Local Surface Estimation. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2019)

Chaojing DuanSiheng ChenJelena Kovacevic

computer sciencedeep neural networkmachine learningremote sensingpoint cloudscomputer visionimage denoising3d vision3d computer visionlocal surface estimation

A Damage Localization and Quantification Algorithm for Indirect Structural Health Monitoring of Bridges Using Multi-Task Learning. AIP conference proceedings (2019)

Jingxiao LiuMario BergésJacobo BielakJames H. GarrettJelena KovačevićHae Young Noh

damage localizationquantification algorithmengineeringmachine learningsystems engineeringartificial intelligencecivil engineeringmulti-task learningstructural health monitoring

1
2
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4
5
21
10 / page

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Similar Faculty Members

Trac D. Tran

Institution

Johns Hopkins University

computer science

machine learning

Ivan Selesnick

Institution

New York University

wavelet

signal processing

Ahmet Enis Cetin

Institution

University of Illinois Chicago

deep learning

image classification

Kenneth Barner

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signal sampling

rehabilitation

Antonio Ortega

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signal processing

computer engineering

Dan Schonfeld

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pattern recognition

video content analysis

Truong Nguyen

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geometric modeling

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Gonzalo R. Arce

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computational imaging

statistics

Sanjit Mitra

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digital signal processing

Huaping Liu

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mimo systems

adaptive modulation