Faculty

Institution

Unit

Venue

Vahid Tarokh

Rhodes Family Distinguished Professor of Electrical and Computer Engineering Professor of Electrical and Computer Engineering

Duke University

Affiliations

Pratt School of Engineering

Electrical & Computer Engineering

Institute for Enterprise Engineering

Vahid Tarokh is currently serving as an Electrical & Computer Engineering Rhodes Family Distinguished Professor of Electrical and Computer Engineering Professor of Electrical and Computer Engineering at Duke University.

Honors

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Experiences

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Education

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Vahid Tarokh

Duke University

Rhodes Family Distinguished Professor of Electrical and Computer Engineering Professor of Electrical and Computer Engineering

You can click a keyword to filter the displayed items

electrical engineering machine learning computer science communications systems systems engineering digital signal processing wireless communications information theory communication signal processing network science information technology medical imaging beamforming cognitive radio transmission transaction processing magnetic resonance imaging communication theory biomedical imaging ofdm system radio communication microwave technology mathematical optimization frequency management spectrum management supervised learning space-time codes vehicular technology statistical signal processing ultra-wideband communication communication engineering radio propagation vehicle technology image reconstruction cognitive radio networks magnetic resonance telecommunication networks networked system design bayesian analysis power electronics image denoising wireless propagation modulation coding system identification 3d imaging brain imaging positioning systems orthogonal designs trellis complexity collaborative beamforming transmit diversity localization gastrointestinal endoscopy digestive endoscopy computational imaging array processing radio engineering channel estimation compressive sensing multi-carrier communication lattice theory localization technique performance criteria low density frames local field potentials space-time block codes cognitive radio channels distributed systems channel modeling cooperative wireless communications code construction achievable rates channel estimation errors multiple paths performance bounds artificial intelligence applied artificial intelligence ai foundation computational learning theory learning representations machine learning research computational intelligence data science cognitive science sequential analysis

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Base Models for Parabolic Partial Differential Equations. arXiv (Cornell University) (2024)

Xu, XingziHasan, AliDing, JieTarokh, Vahid

base modelsnumerical analysisparabolic equationsapplied mathematicsnumerical mathematicspartial differential equationssystems biologydynamical systemsordinary differential equationsdifferential equationsnumerical method for partial differential equationboundary value problems

Bayesian Quickest Change Detection for Unnormalized and Score-Based Models. Sequential Analysis (2024)

Taposh BanerjeeVahid Tarokh

bayesian inferencebayesian analysisscore-based modelschange detectionstatistics

Body Size and Light Environment Modulate Flight Speed and Saccadic Behavior in Free Flying Drosophila Melanogaster. (2024)

Elina BarredoHaoming YangJohn Paul CurreaYash SondhiRavindra Palavalli-NettimiSimon SponbergVahid TarokhJamie Theobald

biophysicsavian biologydrosophila melanogastermorphology (biology)aeronauticsneuroscienceinsect sciencesaccadic behaviorbody sizeentomology

Data-Driven Target Localization: Benchmarking Gradient Descent Using the CraméR-Rao Bound. arXiv (Cornell University) (2024)

Venkatasubramanian, ShyamGogineni, SandeepKang, BosungPezeshki, AliRangaswamy, MuralidharTarokh, Vahid

data-driven target localizationdata sciencecramer-rao boundmachine learning

Data‐Driven Target Localization Using Adaptive Radar Processing and Convolutional Neural Networks. IET Radar Sonar & Navigation (2024)

Shyam VenkatasubramanianSandeep GogineniBosung KangAli PezeshkiMuralidhar RangaswamyVahid Tarokh

deep learningcomputer sciencemachine learningdata-driven target localizationdata scienceadaptive radar processingcomputer vision

Deep Generalized Green's Function. (2024)

Rixi PengJuncheng DongJordan MalofWillie PadillaVahid Tarokh

numerical analysismathematical optimizationapplied mathematicsfunctional analysiscomputer sciencefunction spacesmathematicsdifferential equationsgeneralized functionsnonlinear analysis

Distributionally Robust Optimization as a Scalable Framework to Characterize Extreme Value Distributions. arXiv (Cornell University) (2024)

Kuiper, PatrickHasan, AliYang, WenhaoNg, YutingBidkhori, HodaBlanchet, JoseTarokh, Vahid

extreme value distributionsscalable frameworkrobust optimizationcomputer science

Fundamental Absorption Bandwidth to Thickness Limit for Transparent Homogeneous Layers. Nanophotonics (2024)

Willie J. PadillaYang DengOmar KhatibVahid Tarokh

photonicsfundamental absorption bandwidthaerospace engineeringoptoelectronicsmaterials scienceelectrical engineeringtransparent homogeneous layers

Generative Learning for Simulation of Vehicle Faults. 2018 Winter Simulation Conference (WSC) (2024)

Patrick KuiperSirui LinJose BlanchetVahid Tarokh

generative learningvehicle faultsengineeringmachine learning

Neural Mckean-Vlasov Processes: Distributional Dependence in Diffusion Processes. arXiv (Cornell University) (2024)

Yang, HaomingHasan, AliNg, YutingTarokh, Vahid

distributional dependenceneural mckean-vlasov processescomputer scienceneural engineeringmachine learningneuroscience

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Vahid Tarokh

Rhodes Family Distinguished Professor of Electrical and Computer Engineering Professor of Electrical and Computer Engineering

Duke University

Affiliations

Pratt School of Engineering

Electrical & Computer Engineering

Institute for Enterprise Engineering

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Vahid Tarokh

Duke University

Rhodes Family Distinguished Professor of Electrical and Computer Engineering Professor of Electrical and Computer Engineering

You can click a keyword to filter the displayed items

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Base Models for Parabolic Partial Differential Equations. arXiv (Cornell University) (2024)

Xu, XingziHasan, AliDing, JieTarokh, Vahid

Bayesian Quickest Change Detection for Unnormalized and Score-Based Models. Sequential Analysis (2024)

Taposh BanerjeeVahid Tarokh

bayesian inferencebayesian analysisscore-based modelschange detectionstatistics

Body Size and Light Environment Modulate Flight Speed and Saccadic Behavior in Free Flying Drosophila Melanogaster. (2024)

Elina BarredoHaoming YangJohn Paul CurreaYash SondhiRavindra Palavalli-NettimiSimon SponbergVahid TarokhJamie Theobald

biophysicsavian biologydrosophila melanogastermorphology (biology)aeronauticsneuroscienceinsect sciencesaccadic behaviorbody sizeentomology

Data-Driven Target Localization: Benchmarking Gradient Descent Using the CraméR-Rao Bound. arXiv (Cornell University) (2024)

Venkatasubramanian, ShyamGogineni, SandeepKang, BosungPezeshki, AliRangaswamy, MuralidharTarokh, Vahid

data-driven target localizationdata sciencecramer-rao boundmachine learning

Data‐Driven Target Localization Using Adaptive Radar Processing and Convolutional Neural Networks. IET Radar Sonar & Navigation (2024)

Shyam VenkatasubramanianSandeep GogineniBosung KangAli PezeshkiMuralidhar RangaswamyVahid Tarokh

deep learningcomputer sciencemachine learningdata-driven target localizationdata scienceadaptive radar processingcomputer vision

Deep Generalized Green's Function. (2024)

Rixi PengJuncheng DongJordan MalofWillie PadillaVahid Tarokh

numerical analysismathematical optimizationapplied mathematicsfunctional analysiscomputer sciencefunction spacesmathematicsdifferential equationsgeneralized functionsnonlinear analysis

Distributionally Robust Optimization as a Scalable Framework to Characterize Extreme Value Distributions. arXiv (Cornell University) (2024)

Kuiper, PatrickHasan, AliYang, WenhaoNg, YutingBidkhori, HodaBlanchet, JoseTarokh, Vahid

extreme value distributionsscalable frameworkrobust optimizationcomputer science

Fundamental Absorption Bandwidth to Thickness Limit for Transparent Homogeneous Layers. Nanophotonics (2024)

Willie J. PadillaYang DengOmar KhatibVahid Tarokh

photonicsfundamental absorption bandwidthaerospace engineeringoptoelectronicsmaterials scienceelectrical engineeringtransparent homogeneous layers

Generative Learning for Simulation of Vehicle Faults. 2018 Winter Simulation Conference (WSC) (2024)

Patrick KuiperSirui LinJose BlanchetVahid Tarokh

generative learningvehicle faultsengineeringmachine learning

Neural Mckean-Vlasov Processes: Distributional Dependence in Diffusion Processes. arXiv (Cornell University) (2024)

Yang, HaomingHasan, AliNg, YutingTarokh, Vahid

distributional dependenceneural mckean-vlasov processescomputer scienceneural engineeringmachine learningneuroscience

1
2
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5
43
10 / page

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Similar Faculty Members

Sundeep Rangan

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communications system

5g system

Zhi Ding

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University of California, Davis

industrial informatics

data communication

Alan Willsky

Institution

Massachusetts Institute of Technology

computer science

machine learning

Urbashi Mitra

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matrix completion

information theory

Vivek K Goyal

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intelligent processing

computational imaging

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Salman Avestimehr

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