Faculty

Institution

Unit

Venue

Ran Jin

Associate Professor

Virginia Tech

Affiliations

College of Engineering

Industrial and Systems Engineering

Ran Jin is currently serving as a College Of Engineering Associate Professor at Virginia Tech.

Honors

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Experiences

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Education

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Ran Jin

Virginia Tech

Associate Professor

You can click a keyword to filter the displayed items

systems engineering machine learning computer science manufacturing engineering materials science additive manufacturing quality management manufacturing technology manufacturing science fog manufacturing materials engineering deep learning applied statistics advanced manufacturing technologies quality engineering industrial informatics manufacturing engineering production engineering econometrics intelligent systems quality technology information technology automated manufacturing digital manufacturing quality assurance data fusion industrial ergonomics crystal growth liver transplantation reliability engineering convolutional neural networks automation engineering industrial automation gaussian process process monitoring occupational ergonomics quality control computational medicine fog computing quality modeling ai incubation thermal engineering physical prototyping knowledge discovery biomedical informatics bioelectrochemistry automatic classification recurrent neural networks graph neural networks feature detection printed electronics material machining metal processing finite element methods process design production technologies reconfigurable architectures bayesian hierarchical modeling quality improvement adaptive computing transplantation medicine reliability management thermal field prediction statistical aspects segment graph convolutional dynamic covariates degradation data functional quantitative sequential measurement strategy microscopic images aerosol jet printing material removal rate high-fidelity fea simulation efficient product multimode variation modeling process planning industrial engineering data mining process modeling smart manufacturing

Notable Scholarly Works

Notable Federal Grants

Collaborators

Efficient Estimation and Selection for Regularized Dynamic Logistic Regression. IISE Transactions (2024)

Sumin ShenZhiyang ZhangRan JinXinwei Deng

efficient estimationestimation theorydata sciencemachine learning

LORI: Local Low-Rank Response Imputation for Automatic Configuration of Contextualized Artificial Intelligence. IEEE Transactions on Industrial Informatics (2024)

Xiaoyu ChenRan Jin

artificial intelligencecomputer scienceai integrationcontextualized artificial intelligenceindustrial informaticsautomatic configurationmachine learning

Reasonable Energy-Abandonment Operation of a Combined Power Generation System With an Ultra-High Proportion of Renewable Energy. Energies (2024)

Hao ZhangJingyue YangChenxi LiPengcheng GuoJun LiuRuibao JinJing HuFengyuan GanFei Cao

reasonable energy-abandonment operationengineeringrenewable energyultra-high proportion

Bayesian D-Optimal Design of Experiments With Quantitative and Qualitative Responses. The New England Journal of Statistics in Data Science (2023)

Lulu KangXinwei DengRan Jin

bayesian d-optimal designqualitative responsesdata scienceapplied statisticsbayesian analysisstatisticsexperiment design

Distributed Data Filtering and Modeling for Fog and Networked Manufacturing. IISE Transactions (2023)

Yifu LiLening WangXiaoyu ChenRan Jin

systems engineeringfog computingdata filteringdata modelinginformation technology

Ensemble Active Learning by Contextual Bandits for AI Incubation in Manufacturing. ACM Transactions on Intelligent Systems and Technology (2023)

Yingyan ZengXiaoyu ChenRan Jin

artificial intelligencecomputer sciencemanufacturingai incubationintelligent systemscontextual banditsactive learningmachine learning

Improving Assessment in Kidney Transplantation by Multitask General Path Model. Computer Methods and Programs in Biomedicine Update (2023)

Qing LanXiaoyu ChenMurong LiJohn RobertsonYong LeiRan Jin

kidney transplantationurologyregenerative medicinepharmacology

MODELPRED: A Framework for Predicting Trained Model From Training Data. (2023)

Yingyan ZengJiachen T. WangSi ChenHoang Anh JustRan JinRuoxi Jia

trained modeldata sciencemachine learning

Mutual Active Learning for Engineering Regulated Statistical Digital Twin Models. IEEE Transactions on Industrial Informatics (2023)

Lening WangXi WangQinglei JiLihui WangRan Jin

systems engineeringengineeringmutual active learningindustrial informaticselectrical engineeringmachine learning

Synthetic Data Generation and Sampling for Online Training of Dnns in Manufacturing Supervised Learning Problems. 2022 IEEE 18th International Conference on Automation Science and Engineering (CASE) (2023)

Yingyan ZengPrithivrajan ThiyagarajanBrian M. ChanRan Jin

computer sciencemanufacturingsynthetic data generationmachine learningonline training

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Ran Jin

Associate Professor

Virginia Tech

Affiliations

College of Engineering

Industrial and Systems Engineering

Ran Jin is currently serving as a College Of Engineering Associate Professor at Virginia Tech.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Ran Jin

Virginia Tech

Associate Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Efficient Estimation and Selection for Regularized Dynamic Logistic Regression. IISE Transactions (2024)

Sumin ShenZhiyang ZhangRan JinXinwei Deng

efficient estimationestimation theorydata sciencemachine learning

LORI: Local Low-Rank Response Imputation for Automatic Configuration of Contextualized Artificial Intelligence. IEEE Transactions on Industrial Informatics (2024)

Xiaoyu ChenRan Jin

artificial intelligencecomputer scienceai integrationcontextualized artificial intelligenceindustrial informaticsautomatic configurationmachine learning

Reasonable Energy-Abandonment Operation of a Combined Power Generation System With an Ultra-High Proportion of Renewable Energy. Energies (2024)

Hao ZhangJingyue YangChenxi LiPengcheng GuoJun LiuRuibao JinJing HuFengyuan GanFei Cao

reasonable energy-abandonment operationengineeringrenewable energyultra-high proportion

Bayesian D-Optimal Design of Experiments With Quantitative and Qualitative Responses. The New England Journal of Statistics in Data Science (2023)

Lulu KangXinwei DengRan Jin

bayesian d-optimal designqualitative responsesdata scienceapplied statisticsbayesian analysisstatisticsexperiment design

Distributed Data Filtering and Modeling for Fog and Networked Manufacturing. IISE Transactions (2023)

Yifu LiLening WangXiaoyu ChenRan Jin

systems engineeringfog computingdata filteringdata modelinginformation technology

Ensemble Active Learning by Contextual Bandits for AI Incubation in Manufacturing. ACM Transactions on Intelligent Systems and Technology (2023)

Yingyan ZengXiaoyu ChenRan Jin

artificial intelligencecomputer sciencemanufacturingai incubationintelligent systemscontextual banditsactive learningmachine learning

Improving Assessment in Kidney Transplantation by Multitask General Path Model. Computer Methods and Programs in Biomedicine Update (2023)

Qing LanXiaoyu ChenMurong LiJohn RobertsonYong LeiRan Jin

kidney transplantationurologyregenerative medicinepharmacology

MODELPRED: A Framework for Predicting Trained Model From Training Data. (2023)

Yingyan ZengJiachen T. WangSi ChenHoang Anh JustRan JinRuoxi Jia

trained modeldata sciencemachine learning

Mutual Active Learning for Engineering Regulated Statistical Digital Twin Models. IEEE Transactions on Industrial Informatics (2023)

Lening WangXi WangQinglei JiLihui WangRan Jin

systems engineeringengineeringmutual active learningindustrial informaticselectrical engineeringmachine learning

Yingyan ZengPrithivrajan ThiyagarajanBrian M. ChanRan Jin

computer sciencemanufacturingsynthetic data generationmachine learningonline training

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engineering

manufacturing

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