Faculty

Institution

Unit

Venue

Shuvra Bhattacharyya

Professor

University of Maryland, College Park

Affiliations

A. James Clark School of Engineering

Electrical and Computer Engineering

Shuvra Bhattacharyya is currently serving as an A. James Clark School Of Engineering Professor at University of Maryland, College Park.

Honors

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Experiences

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Education

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Shuvra Bhattacharyya

University of Maryland, College Park

Professor

You can click a keyword to filter the displayed items

systems engineering computer science machine learning computer engineering signal processing electrical engineering data flows computer vision digital signal processing parallel computing scheduling (computing) modeling and simulation data management reconfigurable architectures software engineering scientific computing embedded architecture signal processing systems dsp applications design automation machine vision wireless communications power electronics intelligent computing field programmable gate array distributed computing image registration gpu computing multiprocessor dsp systems dataflow graphs data-intensive computing video processing scheduling problems object detection synchronous dataflow graphs software synthesis evolutionary computation distributed systems hardware architecture fpga design neuroinformatics dataflow interchange format information technology advanced computing distributed processing embedded machine learning graph processing hardware acceleration dsp systems software analysis engineering optimization scheduling (production processes) transaction processing audio signal processing concurrent systems convolutional neural networks electronic design automation control architecture hyperspectral imaging programming languages machine learning research cybernetics multiprocessor systems 3d computer vision acoustic signal processing gpu architecture synchronous dataflow specifications memory requirements multimedia applications design environment dataflow programs heterogeneous platforms gait recognition configurable hardware system software production scheduling

Notable Scholarly Works

Notable Federal Grants

Collaborators

Componentflow Process Networks: A Product Reuse Model for the Circular Economy. Circular Economy and Sustainability (2026)

industrial engineeringtechnologymanufacturing systemscomputer-integrated manufacturingsystems engineeringcomponentflow process networksproduct life cycleproduct reuse modelcircular economydesign reuseproduct designsmart manufacturing

An Online Learning Framework for Neural Decoding in Embedded Neuromodulation Systems. Brain Connectivity (2025)

neural engineeringcomputer sciencecomputational intelligenceembedded neuromodulation systemsonline learning frameworkbrain-like computingneuronal networksmachine learningneural decodingneuroscienceneural network (machine learning)neural computationbio-inspired computationneural circuitscomputational neuroscience

AUTOCOMPOSE: Automatic Generation of Pose Transition Descriptions for Composed Pose Retrieval Using Multimodal Llms. (2025)

computer sciencemachine learningautomatic generationdata sciencecomputer visionmachine visionmultimedia modelingvision language modelmultimodal llmpose transition descriptionsmultimedia retrieval

Comparative Study of Memory Optimization Techniques for Dataflow-Modeled Applications. Lecture notes in computer science (2025)

parallel computingcomputer sciencehigh performance computer architecturememory model (programming)memory optimization techniques

Edge-Prune: A Dataflow-Based Framework for Distributed Signal Processing and Machine Learning. IEEE Transactions on Signal Processing (2025)

computer scienceover-the-air computationmachine learningnetworked system designdata sciencedistributed signal processingdistributed systemssignal processingedge intelligencedataflow-based framework

Efficient Hyperspectral Image Classification Using Discrete Cosine Transform on Limited-Resource Systems. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2025)

hyperspectral imagingdigital image processingdata scienceimage analysisspectral imagingapplied mathematicslimited-resource systemsdiscrete cosine transform

Speech Emotion Recognition With Continuous Representation Using Valence and Arousal. (2025)

speaker recognitionspeech analysisemotion recognitionaffectspeech emotion recognitionspeech technologyspoken language technologyemotional responsesaffective computingspeech processingspeech recognitionemotions

Towards Incorporating Social and Spatial Dependencies in Machine Learning Models for Crime Prediction. (2025)

crime forecastingstatisticscrime predictionspatial analysisexperimental criminologyspatial dependenciesknowledge discoverycrime analysisdata sciencepredictive analyticscriminologytheoretical criminologymachine learning models

Towards Real-Time Spatter Prediction in Additive Manufacturing. (2025)

computer-aided designmanufacturing technologycomputational fabricationadvanced manufacturing technologiesadditive manufacturingapplied mathematicsmanufacturingadvanced manufacturing

A Design Space Exploration Framework for Deployment of Resource-Constrained Deep Neural Networks. (2024)

Yan ZhangLei PanPhillip BerkowitzMun Wai LeeBenjamin RigganShuvra S. Bhattacharyya

deep learningdesignspace explorationresource constraintsdesign space exploration

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Shuvra Bhattacharyya

Professor

University of Maryland, College Park

Affiliations

A. James Clark School of Engineering

Electrical and Computer Engineering

Shuvra Bhattacharyya is currently serving as an A. James Clark School Of Engineering Professor at University of Maryland, College Park.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Shuvra Bhattacharyya

University of Maryland, College Park

Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Componentflow Process Networks: A Product Reuse Model for the Circular Economy. Circular Economy and Sustainability (2026)

An Online Learning Framework for Neural Decoding in Embedded Neuromodulation Systems. Brain Connectivity (2025)

AUTOCOMPOSE: Automatic Generation of Pose Transition Descriptions for Composed Pose Retrieval Using Multimodal Llms. (2025)

computer sciencemachine learningautomatic generationdata sciencecomputer visionmachine visionmultimedia modelingvision language modelmultimodal llmpose transition descriptionsmultimedia retrieval

Comparative Study of Memory Optimization Techniques for Dataflow-Modeled Applications. Lecture notes in computer science (2025)

parallel computingcomputer sciencehigh performance computer architecturememory model (programming)memory optimization techniques

Edge-Prune: A Dataflow-Based Framework for Distributed Signal Processing and Machine Learning. IEEE Transactions on Signal Processing (2025)

computer scienceover-the-air computationmachine learningnetworked system designdata sciencedistributed signal processingdistributed systemssignal processingedge intelligencedataflow-based framework

Efficient Hyperspectral Image Classification Using Discrete Cosine Transform on Limited-Resource Systems. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (2025)

hyperspectral imagingdigital image processingdata scienceimage analysisspectral imagingapplied mathematicslimited-resource systemsdiscrete cosine transform

Speech Emotion Recognition With Continuous Representation Using Valence and Arousal. (2025)

Towards Incorporating Social and Spatial Dependencies in Machine Learning Models for Crime Prediction. (2025)

Towards Real-Time Spatter Prediction in Additive Manufacturing. (2025)

computer-aided designmanufacturing technologycomputational fabricationadvanced manufacturing technologiesadditive manufacturingapplied mathematicsmanufacturingadvanced manufacturing

A Design Space Exploration Framework for Deployment of Resource-Constrained Deep Neural Networks. (2024)

Yan ZhangLei PanPhillip BerkowitzMun Wai LeeBenjamin RigganShuvra S. Bhattacharyya

deep learningdesignspace explorationresource constraintsdesign space exploration

1
2
3
4
5
43
10 / page

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Similar Faculty Members

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Institution

Northeastern University

computer science

systems engineering

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University of Southern California

big data

supercomputer architecture

Janardhan Rao Jana Doppa

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Oregon State University

industrial artificial intelligence

machine learning

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design automation

cyber-physical systems

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hardware architecture

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