Faculty

Institution

Unit

Venue

Jian Liu

Associate Professor Systems & Industrial Engineering

University of Arizona

Affiliations

College of Engineering

Systems and Industrial Engineering

Jian Liu is currently serving as a College Of Engineering Associate Professor Systems & Industrial Engineering at University of Arizona.

Honors

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Experiences

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Education

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Jian Liu

University of Arizona

Associate Professor Systems & Industrial Engineering

You can click a keyword to filter the displayed items

systems engineering manufacturing engineering unmanned aerial vehicles process control manufacturing technology computer science modeling and simulation reliability engineering reliability statistics production engineering process planning computer vision machine vision manufacturing planning artificial intelligence robotics quality engineering motion detection production planning variation reduction drones bayesian analysis vehicular technology aerial robotics motion analysis reliability modelling manufacturing engineering managing variability system reliability multistage manufacturing variation propagation localization cybernetics process safety information technology manufacturing science software maintenance software analysis agent-based system object detection industrial automation quality assurance automation engineering software reliability testing process modelling factory modeling deterioration modeling advanced manufacturing bayesian modeling multi-level information aggregation hierarchical systems engineering-driven factor analysis crowd dynamics autonomous vehicles efficient detection water distribution systems multistation machining state space modeling hydroinformatics computer-integrated manufacturing target identification parameter identification fault estimation fault analysis process calculus process integration process design variational analysis state estimation model-based testing kidney failure cooperative uav vision-based target detection machining-induced variations automated manufacturing technology industrial engineering data science smart manufacturing digital manufacturing data analytics

Notable Scholarly Works

Notable Federal Grants

Collaborators

Data-Fusion-Based Quality Enhancement for Hr Measurements Collected by Wearable Sensors. Sensors (2024)

Shenghao XiaShu-Fen WungChang-Chun ChenJude Larbi Kwesi CoompsonJanet RovedaJian Liu

sensor technologywearable technologyhr measurementshealth monitoringbenchmark studiesdata qualitydata-fusion-based quality enhancementdata sciencedata fusionhealth sciencesinstrumentation

Measurement Error–Tolerant Poisson Regression for Valley Fever Incidence Prediction. IISE Transactions on Healthcare Systems Engineering (2024)

H YangF PanD TongHE BrownJ Liu

health system engineeringsystems engineeringepidemiologyhealth informatics

Optimal Placement of Programmable Tooling Machines Considering Hierarchical Structure via Sparse Learning for Multistage Assembly Processes. IEEE Transactions on Automation Science and Engineering (2024)

Chengyu TaoJuan DuJian Liu

industrial automationadditive manufacturingcomputational optimizationdesign optimizationengineering optimizationmanufacturing technologymultidisciplinary optimizationrapid prototypingautomated manufacturinghierarchical assemblyautomationmultistage assemblyoptimal placementindustrial roboticsmechanical engineeringmanufacturingindustrial engineeringsystems engineeringhierarchical structureautomation engineeringengineering

Penalized Functional Decomposition for Detecting Bursts in Water Distribution Systems. Journal of Water Resources Planning and Management (2024)

Yinwei ZhangShenghao XiaKevin LanseyJian Liu

environmental engineeringwater resource managementwater resourceswater distribution systemswater distributionfunctional decomposition

Profile Extraction and Defect Detection for Stereolithography Curing Process Based on Multi-Regularized Tensor Decomposition. Journal of Manufacturing Systems (2024)

Yinwei ZhangTao ZhangJian LiuWenjun KangRongguang LiangBarrett G. Potter

materials sciencemulti-regularized tensor decompositionmanufacturing technologymechanical engineeringmaterials engineeringmanufacturing engineeringdigital manufacturingprofile extractionadvanced manufacturing technologiesdefect detectionmetal processingmanufacturingadditive manufacturing

Regularized Optical Flow for Detecting Moving Foreground From Videos Taken by Steady-Moving Cameras. 2022 IEEE 18th International Conference on Automation Science and Engineering (CASE) (2024)

Yinwei ZhangShenghao XiaBiao ZhangJian Liu

motion analysisintelligent computingsteady-moving camerascomputer engineeringimage analysisautomationcomputer visionmachine visiondigital image processingpattern recognitionautomatic controlvideo surveillancemotion capturemoving object trackingactive controlsystems engineeringmotion detectionregularized optical flowcomputer scienceinformation fusion

Reinforcement Learning for Adaptive Battery Management of Structural Health Monitoring Iot Sensor Network. (2024)

Tahsin Afroz Hoque NishatJong-Hyun JeongHongki JoShenghao XiaJIAN LIU

adaptive battery managementreinforcement learningstructural health monitoringinternet of thingsengineering

Reliability Modeling for Perception Systems in Autonomous Vehicles: A Recursive Event-Triggering Point Process Approach. Transportation Research Part C Emerging Technologies (2024)

Fenglian PanYinwei ZhangJian LiuLarry HeadMaria ElliIgnacio Alvarez

systems engineeringreliabilityautonomous vehiclesreliability engineering

Actively Managed Battery Degradation of Wireless Sensors for Structural Health Monitoring. Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2018 (2023)

Tahsin Afroz Hoque NishatJong-Hyun JeongHongki JoQiang ZhouJian Liu

active controlsystems engineeringstructural health monitoringelectrical engineeringbattery degradationenergy storageengineering

Detecting Foreground in Videos via Posterior Regularized Robust Bayesian Tensor Factorization. 2022 IEEE 18th International Conference on Automation Science and Engineering (CASE) (2023)

Shenghao XiaYinwei ZhangBiao ZhangJian Liu

machine learningvideo content analysisvideo understandingscene analysismultimedia computingcomputer visionartificial intelligencemultimedia information processingintelligent computingdeep learningmachine visionimage analysisdata sciencescene understandingcognitive sciencecomputer sciencevideo retrievalautomated reasoning

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Jian Liu

Associate Professor Systems & Industrial Engineering

University of Arizona

Affiliations

College of Engineering

Systems and Industrial Engineering

Jian Liu is currently serving as a College Of Engineering Associate Professor Systems & Industrial Engineering at University of Arizona.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Jian Liu

University of Arizona

Associate Professor Systems & Industrial Engineering

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Data-Fusion-Based Quality Enhancement for Hr Measurements Collected by Wearable Sensors. Sensors (2024)

Shenghao XiaShu-Fen WungChang-Chun ChenJude Larbi Kwesi CoompsonJanet RovedaJian Liu

sensor technologywearable technologyhr measurementshealth monitoringbenchmark studiesdata qualitydata-fusion-based quality enhancementdata sciencedata fusionhealth sciencesinstrumentation

Measurement Error–Tolerant Poisson Regression for Valley Fever Incidence Prediction. IISE Transactions on Healthcare Systems Engineering (2024)

H YangF PanD TongHE BrownJ Liu

health system engineeringsystems engineeringepidemiologyhealth informatics

Chengyu TaoJuan DuJian Liu

Penalized Functional Decomposition for Detecting Bursts in Water Distribution Systems. Journal of Water Resources Planning and Management (2024)

Yinwei ZhangShenghao XiaKevin LanseyJian Liu

environmental engineeringwater resource managementwater resourceswater distribution systemswater distributionfunctional decomposition

Profile Extraction and Defect Detection for Stereolithography Curing Process Based on Multi-Regularized Tensor Decomposition. Journal of Manufacturing Systems (2024)

Yinwei ZhangTao ZhangJian LiuWenjun KangRongguang LiangBarrett G. Potter

Regularized Optical Flow for Detecting Moving Foreground From Videos Taken by Steady-Moving Cameras. 2022 IEEE 18th International Conference on Automation Science and Engineering (CASE) (2024)

Yinwei ZhangShenghao XiaBiao ZhangJian Liu

Reinforcement Learning for Adaptive Battery Management of Structural Health Monitoring Iot Sensor Network. (2024)

Tahsin Afroz Hoque NishatJong-Hyun JeongHongki JoShenghao XiaJIAN LIU

adaptive battery managementreinforcement learningstructural health monitoringinternet of thingsengineering

Reliability Modeling for Perception Systems in Autonomous Vehicles: A Recursive Event-Triggering Point Process Approach. Transportation Research Part C Emerging Technologies (2024)

Fenglian PanYinwei ZhangJian LiuLarry HeadMaria ElliIgnacio Alvarez

systems engineeringreliabilityautonomous vehiclesreliability engineering

Actively Managed Battery Degradation of Wireless Sensors for Structural Health Monitoring. Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2018 (2023)

Tahsin Afroz Hoque NishatJong-Hyun JeongHongki JoQiang ZhouJian Liu

active controlsystems engineeringstructural health monitoringelectrical engineeringbattery degradationenergy storageengineering

Detecting Foreground in Videos via Posterior Regularized Robust Bayesian Tensor Factorization. 2022 IEEE 18th International Conference on Automation Science and Engineering (CASE) (2023)

Shenghao XiaYinwei ZhangBiao ZhangJian Liu

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Similar Faculty Members

Sang Yoon

Institution

Binghamton University

industrial engineering

smart manufacturing

Kyoung-Yun Kim

Institution

Wayne State University

manufacturing

smart manufacturing

Kai Yang

Institution

Wayne State University

health system engineering

reliability engineering

Qiang Huang

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University of Southern California

quality control theory

machine learning

John Wassick

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engineering

smart manufacturing

James Allison

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University of Illinois Urbana-Champaign

intelligent structure design

design optimization

Shivakumar Raman

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manufacturing

engineering

Pingfeng Wang

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University of Illinois Urbana-Champaign

resilience

sustainable design

Daniel Apley

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machine learning

data science

Fernando Lima

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sustainable energy

life cycle assessment