Faculty

Institution

Unit

Venue

Joydeep Ghosh

Professor Schlumberger Centennial Chair in Electrical Engineering

University of Texas at Austin

Affiliations

Cockrell School of Engineering

Chandra Family Department of Electrical and Computer Engineering

Joydeep Ghosh is currently serving as a Chandra Electrical And Computer Engineering Professor Schlumberger Centennial Chair in Electrical Engineering at University of Texas At Austin.

Honors

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Experiences

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Education

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Joydeep Ghosh

University of Texas at Austin

Professor Schlumberger Centennial Chair in Electrical Engineering

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machine learning computer science data science systems engineering data mining clustering pattern recognition statistics artificial intelligence computer vision knowledge discovery computational intelligence optical engineering remote sensing machine learning research classification method unsupervised machine learning informatics biomedical informatics document clustering hyperspectral data computational statistics data classification active learning supervised learning scientific computing machine vision classifier systems hyperspectral data analysis neural networks cluster ensembles bayesian analysis ensemble algorithms health information science distributed systems information technology earth observation data earth observation image classification feature extraction biomedical data science optical information processing data aggregation radial basis functions distributed computing land cover kernel methods land cover classification digital medicine intelligent computing statistical methodology pattern analysis manifold learning similarity search probabilistic principal surfaces neural classifiers artificial neural networks knowledge management cluster computing mixture analysis dimensionality reduction mixture distribution hyperspectral imaging electronic health records object detection neuroinformatics transfer learning semi-supervised learning spherical kmeans short-duration oceanic signals neural network bregman divergences function approximation pattern classification comparative study gaussian mixture models predictive analytics healthcare big data health informatics ai healthcare responsible ai

Notable Scholarly Works

Notable Federal Grants

Collaborators

Achieving Fairness Across Local and Global Models in Federated Learning. arXiv (Cornell University) (2024)

Makhija, DishaHan, XingGhosh, JoydeepKim, Yejin

fairnessfederated learningdata science

A Natural Language Processing Approach to Detect Inconsistencies in Death Investigation Notes Attributing Suicide Circumstances. Communications Medicine (2024)

Song WangYiliang ZhouZiqiang HanCui TaoYunyu XiaoYing DingJoydeep GhoshYifan Peng

suicide circumstancescommunicationnatural language processingdeath investigation notesdeath investigation

Faster-Ce: Fast, Sparse, Transparent, and Robust Counterfactual Explanations. IFIP advances in information and communication technology (2024)

Shubham SharmaAlan GeeJette HendersonJoydeep Ghosh

computer sciencecommunicationinformation technologyartificial intelligenceautomated reasoninginformation science

Federated Learning for Estimating Heterogeneous Treatment Effects. arXiv (Cornell University) (2024)

Makhija, DishaGhosh, JoydeepKim, Yejin

statisticsmachine learningfederated learningheterogeneous treatment effectsapplied mathematics

A Novel Control-Variates Approach for Performative Gradient-Based Learners With Missing Data. 2022 International Joint Conference on Neural Networks (IJCNN) (2023)

Xing HanJing HuJoydeep Ghosh

machine learningperformative gradient-based learnersmissing dataapplied mathematics

Efficient Forecasting of Large-Scale Hierarchical Time Series via Multilevel Clustering. (2023)

Xing HanTongzheng RenJing HuJoydeep GhoshNhat Ho

multilevel clusteringclusteringdata scienceforecastingefficient forecasting

FEAMOE: Fair, Explainable and Adaptive Mixture of Experts. International Joint Conference on Artificial Intelligence (2023)

Shubham SharmaJette HendersonJoydeep Ghosh

explainable aiartificial intelligenceevolutionary biologymixture of expertadaptive mixture

Privacy Preserving Bayesian Federated Learning in Heterogeneous Settings. arXiv (Cornell University) (2023)

Makhija, DishaGhosh, JoydeepHo, Nhat

privacy-preserving communicationmachine learningfederated learningdata scienceheterogeneous settings

Architecture Agnostic Federated Learning for Neural Networks. arXiv (Cornell University) (2022)

Makhija, DishaHan, XingHo, NhatGhosh, Joydeep

architecturemachine learningneural networksfederated learningartificial intelligence

Designing Robust Transformers Using Robust Kernel Density Estimation. arXiv (Cornell University) (2022)

Han, XingRen, TongzhengNguyen, Tan MinhNguyen, KhaiGhosh, JoydeepHo, Nhat

deep learningdensity estimationrobust transformersmachine learningapplied mathematicskernel methods

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Joydeep Ghosh

Professor Schlumberger Centennial Chair in Electrical Engineering

University of Texas at Austin

Affiliations

Cockrell School of Engineering

Chandra Family Department of Electrical and Computer Engineering

Joydeep Ghosh is currently serving as a Chandra Electrical And Computer Engineering Professor Schlumberger Centennial Chair in Electrical Engineering at University of Texas At Austin.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Joydeep Ghosh

University of Texas at Austin

Professor Schlumberger Centennial Chair in Electrical Engineering

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Achieving Fairness Across Local and Global Models in Federated Learning. arXiv (Cornell University) (2024)

Makhija, DishaHan, XingGhosh, JoydeepKim, Yejin

fairnessfederated learningdata science

A Natural Language Processing Approach to Detect Inconsistencies in Death Investigation Notes Attributing Suicide Circumstances. Communications Medicine (2024)

Song WangYiliang ZhouZiqiang HanCui TaoYunyu XiaoYing DingJoydeep GhoshYifan Peng

suicide circumstancescommunicationnatural language processingdeath investigation notesdeath investigation

Faster-Ce: Fast, Sparse, Transparent, and Robust Counterfactual Explanations. IFIP advances in information and communication technology (2024)

Shubham SharmaAlan GeeJette HendersonJoydeep Ghosh

computer sciencecommunicationinformation technologyartificial intelligenceautomated reasoninginformation science

Federated Learning for Estimating Heterogeneous Treatment Effects. arXiv (Cornell University) (2024)

Makhija, DishaGhosh, JoydeepKim, Yejin

statisticsmachine learningfederated learningheterogeneous treatment effectsapplied mathematics

A Novel Control-Variates Approach for Performative Gradient-Based Learners With Missing Data. 2022 International Joint Conference on Neural Networks (IJCNN) (2023)

Xing HanJing HuJoydeep Ghosh

machine learningperformative gradient-based learnersmissing dataapplied mathematics

Efficient Forecasting of Large-Scale Hierarchical Time Series via Multilevel Clustering. (2023)

Xing HanTongzheng RenJing HuJoydeep GhoshNhat Ho

multilevel clusteringclusteringdata scienceforecastingefficient forecasting

FEAMOE: Fair, Explainable and Adaptive Mixture of Experts. International Joint Conference on Artificial Intelligence (2023)

Shubham SharmaJette HendersonJoydeep Ghosh

explainable aiartificial intelligenceevolutionary biologymixture of expertadaptive mixture

Privacy Preserving Bayesian Federated Learning in Heterogeneous Settings. arXiv (Cornell University) (2023)

Makhija, DishaGhosh, JoydeepHo, Nhat

privacy-preserving communicationmachine learningfederated learningdata scienceheterogeneous settings

Architecture Agnostic Federated Learning for Neural Networks. arXiv (Cornell University) (2022)

Makhija, DishaHan, XingHo, NhatGhosh, Joydeep

architecturemachine learningneural networksfederated learningartificial intelligence

Designing Robust Transformers Using Robust Kernel Density Estimation. arXiv (Cornell University) (2022)

Han, XingRen, TongzhengNguyen, Tan MinhNguyen, KhaiGhosh, JoydeepHo, Nhat

deep learningdensity estimationrobust transformersmachine learningapplied mathematicskernel methods

1
2
3
4
5
39
10 / page

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Princeton University

computer science

machine learning

Deniz Erdogmus

Institution

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machine learning

neuroscience

Antonio Ortega

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signal processing

computer engineering

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mobile communication vehicle

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big data acquisition

big data

Wei Wang

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University of California, Los Angeles

big data

biomedical informatics

Mihaela van der Schaar

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applied artificial intelligence

ai healthcare

Aidong Zhang

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University of Virginia

data mining

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Ming Dong

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machine learning

computer science

Arindam Banerjee

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University of Illinois Urbana-Champaign

data science

informatics