Faculty

Institution

Unit

Venue

Aryya Gangopadhyay

Professor and Chair Information Systems

University of Maryland, Baltimore County

Aryya Gangopadhyay is currently serving as a Professor and Chair Information Systems at University of Maryland, Baltimore County.

Honors

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Experiences

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Education

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Aryya Gangopadhyay

University of Maryland, Baltimore County

Professor and Chair Information Systems

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machine learning computer science data science systems engineering computer vision data mining information security health sciences pattern recognition information technology natural language processing remote sensing informatics knowledge discovery data security aerosol science machine vision mobile computing human-computer interaction classification method fraud detection federated learning fuzzy logic data privacy computational imaging earth observation pervasive computing activity recognition association rules domain adaptation object detection data exploration fuzzy systems fuzzy sets information management biomedical informatics fuzzy modeling earth observation data edge intelligence edge detection gradient inversion attacks computational intelligence decision science disaster research information technology management pattern discovery data engineering image segmentation flash floods graph analysis adversarial machine learning privacy protection abuse detection older adults distance-based classification semantic segmentation flood detection transient data streams object detection system healthcare fraud fuzzy risk analysis question answering visual question answering uncertainty management rough set web-based collaboration user-centered design knowledge processing privacy-preserving technique fourier-related transforms medical corpora post-disaster damage assessment satellite images behavioral health assessment evidence theory location services biostatistics spatio-temporal data mining health informatics pattern mining optimization-based data mining

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Progressive Meta-Algorithm for Large and Seamless Super Resolution Images. 2021 IEEE International Conference on Big Data (Big Data) (2024)

Jayalakshmi MangalagiriAryya GangopadhyayDavid Chapman

large-scale datasetscomputer sciencebig datadigital image processingprogressive meta-algorithmsuper-resolution imaging

GESTRIGHT: Understanding the Feasibility of Gesture-Driven Tele-Operation in Human-Robot Teams. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2024)

Kevin RippyAryya GangopadhyayKasthuri Jayarajah

gesture-driven tele-operationintelligent systemshuman-robot teamsroboticsintelligent robotics

Gradient Inversion Attacks on Acoustic Signals: Revealing Security Risks in Audio Recognition Systems. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (2024)

Pretom Roy OviAryya Gangopadhyay

computer scienceinformation securityacoustic signalsmachine learningaudio recognition systemscomputer securitygradient inversion attackssecurity risks

A Comprehensive Study of Gradient Inversion Attacks in Federated Learning and Baseline Defense Strategies. (2023)

Pretom Roy OviAryya Gangopadhyay

baseline defense strategiesmachine learningfederated learningcomputer securitydata scienceadversarial machine learninggradient inversion attackscomprehensive study

Ccs-Gan: Covid-19 Ct Scan Generation and Classification With Very Few Positive Training Images. Journal of Digital Imaging (2023)

Sumeet MenonJayalakshmi MangalagiriJosh GalitaMichael MorrisBabak SabouryYaacov YeshaYelena YeshaPhuong NguyenAryya GangopadhyayDavid Chapman

deep learningcomputational imagingmachine learningcovid-19digital imagingmedical imagingcomputed tomographyradiology

Confident Federated Learning to Tackle Label Flipped Data Poisoning Attacks. (2023)

Pretom Roy OviAryya GangopadhyayRobert F. ErbacherCarl Busart

computer scienceinformation securitydata securitymachine learningfederated learningcomputer security

Enhancing Outdoor Moving Target Detection: Integrating Classical Dsp With Mmwave Fmcw Radars in Dynamic Environments. Electronics (2023)

Debjyoti ChowdhuryNikhitha Vikram MeligeBiplab PalAryya Gangopadhyay

object detectiontarget detectiontechnologyelectronicsmachine learningoptoelectronicscomputer visionmotion detectionmmwave fmcw radarselectrical engineering

Flood-Resnet50: Optimized Deep Learning Model for Efficient Flood Detection on Edge Device. (2023)

Md Azim KhanNadeem AhmedJoyce PadelaMuhammad Shehrose RazaAryya GangopadhyayJianwu WangJames FouldsCarl BusartRobert F. Erbacher

deep learningcomputer sciencemobile computingmachine learningedge computingdata scienceedge devicesystems engineeringcomputer vision

Mixed Quantization Enabled Federated Learning to Tackle Gradient Inversion Attacks. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2023)

Pretom Roy OviEmon DeyNirmalya RoyAryya Gangopadhyay

machine learningfederated learninggradient inversion attacksmixed quantization

Quasi-Synthetic Data Generation for Camouflaged Object Detection at Edge. (2023)

Rohan PutatundaMd Azim KhanAryya GangopadhyayJianwu WangRobert F. Erbacher

deep learningcomputer scienceobject detectioncamouflaged object detectionpattern recognitionmachine learningquasi-synthetic data generationedge computingcomputer visionmachine visiondata generationedge intelligenceedge detection

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Aryya Gangopadhyay

Professor and Chair Information Systems

University of Maryland, Baltimore County

Aryya Gangopadhyay is currently serving as a Professor and Chair Information Systems at University of Maryland, Baltimore County.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Aryya Gangopadhyay

University of Maryland, Baltimore County

Professor and Chair Information Systems

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Progressive Meta-Algorithm for Large and Seamless Super Resolution Images. 2021 IEEE International Conference on Big Data (Big Data) (2024)

Jayalakshmi MangalagiriAryya GangopadhyayDavid Chapman

large-scale datasetscomputer sciencebig datadigital image processingprogressive meta-algorithmsuper-resolution imaging

GESTRIGHT: Understanding the Feasibility of Gesture-Driven Tele-Operation in Human-Robot Teams. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (2024)

Kevin RippyAryya GangopadhyayKasthuri Jayarajah

gesture-driven tele-operationintelligent systemshuman-robot teamsroboticsintelligent robotics

Pretom Roy OviAryya Gangopadhyay

computer scienceinformation securityacoustic signalsmachine learningaudio recognition systemscomputer securitygradient inversion attackssecurity risks

A Comprehensive Study of Gradient Inversion Attacks in Federated Learning and Baseline Defense Strategies. (2023)

Pretom Roy OviAryya Gangopadhyay

baseline defense strategiesmachine learningfederated learningcomputer securitydata scienceadversarial machine learninggradient inversion attackscomprehensive study

Ccs-Gan: Covid-19 Ct Scan Generation and Classification With Very Few Positive Training Images. Journal of Digital Imaging (2023)

Sumeet MenonJayalakshmi MangalagiriJosh GalitaMichael MorrisBabak SabouryYaacov YeshaYelena YeshaPhuong NguyenAryya GangopadhyayDavid Chapman

deep learningcomputational imagingmachine learningcovid-19digital imagingmedical imagingcomputed tomographyradiology

Confident Federated Learning to Tackle Label Flipped Data Poisoning Attacks. (2023)

Pretom Roy OviAryya GangopadhyayRobert F. ErbacherCarl Busart

computer scienceinformation securitydata securitymachine learningfederated learningcomputer security

Enhancing Outdoor Moving Target Detection: Integrating Classical Dsp With Mmwave Fmcw Radars in Dynamic Environments. Electronics (2023)

Debjyoti ChowdhuryNikhitha Vikram MeligeBiplab PalAryya Gangopadhyay

object detectiontarget detectiontechnologyelectronicsmachine learningoptoelectronicscomputer visionmotion detectionmmwave fmcw radarselectrical engineering

Flood-Resnet50: Optimized Deep Learning Model for Efficient Flood Detection on Edge Device. (2023)

Md Azim KhanNadeem AhmedJoyce PadelaMuhammad Shehrose RazaAryya GangopadhyayJianwu WangJames FouldsCarl BusartRobert F. Erbacher

deep learningcomputer sciencemobile computingmachine learningedge computingdata scienceedge devicesystems engineeringcomputer vision

Mixed Quantization Enabled Federated Learning to Tackle Gradient Inversion Attacks. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2023)

Pretom Roy OviEmon DeyNirmalya RoyAryya Gangopadhyay

machine learningfederated learninggradient inversion attacksmixed quantization

Quasi-Synthetic Data Generation for Camouflaged Object Detection at Edge. (2023)

Rohan PutatundaMd Azim KhanAryya GangopadhyayJianwu WangRobert F. Erbacher

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