Faculty

Institution

Unit

Venue

Harrison Hyung Min Kim

Professor

UIUC

Affiliations

The Grainger College of Engineering

Department of Industrial and Enterprise Systems Engineering

Industrial & Enterprise Systems Engineering

Harrison Hyung Min Kim is currently serving as an Industrial And Enterprise Systems Engineering Professor at Uiuc.

Honors

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Experiences

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Education

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Harrison Hyung Min Kim

UIUC

Professor

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systems engineering design product design design optimization engineering optimization marketing data science operations research design automation text mining life cycle assessment customer reviews data mining sustainable products knowledge discovery product modeling predictive analytics operation management computational optimization life cycle management consumer research sustainable production multidisciplinary optimization life-cycle engineering systems modeling product life cycle quantitative management manufacturing systems interactive marketing power system optimization mathematical optimization energy optimization customer profiling design space exploration system optimization online customer behavior sustainable development circularity circular economy marketing science supply chain optimization marketing analytics design decisions product management complementarity constraints production planning end-of-life product life cycle costing service management sustainable manufacturing grid optimization complex system engineering trend prediction product forecasting online reviews sustainability analysis wind power generation feature engineering analytical target cascading product family design circularity indicators constrained optimization green manufacturing production management demand forecasting multilevel optimization customer segmentation target cascading product families multiple products analytical target initial manufacturing life cycle product recovery product take-back pareto optimal frontier life cycle design sustainable energy technologies sustainable energy green engineering renewable energy architecture sustainable design

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Dual-Stage Framework for Automated Review Labeling: Integrating Keyword Detection and Large Language Models for Sub-Feature Analysis. (2025)

Yilan JiangSeyoung ParkHarrison Hyung Min Kim

automated review labelingintegrating keyword detectiontext miningkeyword extractionsemantic evaluationnlp taskinformation retrievallanguage modelsnatural language processingterminology extractionsoftware reviewdata sciencelanguagelinguisticsdual-stage frameworknatural language generation

Data-Driven Analysis of Usage-Feature Interactions for New Product Design. Expert Systems with Applications (2025)

Seyoung ParkHarrison Kim

designhuman-computer interactionproduct designuser experienceproduct experiencenew product designinteractive marketingdesign researchconsumer-driven product developmentproduct modeling

Modeling Stochastic Yield Rates in Disassembly Processes for Green Profit Maximization. Proceedings of the Design Society (2025)

Yilan JiangHarrison Kim

production managementsystems engineeringyield optimizationdesigndisassembly processesoperation managementsustainable productsyield ratesproduction planningdisassembly processsustainable productionquantitative managementgreen manufacturingsupply chain optimizationoperations research

Unlocking Product Ecosystem Insights: Analyzing Customer Sentiment and Interoperability Through Video Reviews. Proceedings of the Design Society (2025)

Kangcheng LinHarrison Kim

communicationmarketingconsumer researchproduct ecosystem insightstext miningsocial media platformscustomer sentimentinteractive marketingdigital marketingcontent marketingconsumer-driven product developmentcustomer reviewscontent analysis

An Automated Data-Driven Approach for Product Design Strategies to Respond to Market Disruption Following Covid-19. Journal of Mechanical Design (2024)

Seyoung ParkKangcheng LinJunegak JoungHarrison Kim

predictive analyticsmarketing analyticsmarketingconsumer researchproduct designuser experienceonline customer behaviorconsumer behaviourinteractive marketingmarket disruptiondigital marketingdata sciencemarketing researchcustomer satisfactionautomated data-driven approachcustomer reviews

Automated Sub-Feature Labeling Using Prompt-Based Pretrained Language Model. (2024)

Seyoung ParkYilan JiangHarrison Kim

machine learningtext mininglanguage engineeringpretraied language modelmasked tokensemantic evaluationnlp tasklanguage modelsnatural language processingmachine learning researchdata sciencellm fine-tuningkeyword detectioncomputer sciencedata annotation

Calculator for Sustainable Tradeoff Optimization in Multi‐Generational Product Family Development Considering Re‐X Performances. (2024)

Michael SaidaniXinyang LiuDylan HueyHarrison KimPingfeng WangAtefeh AnisiGul KremerAndrew GreenleeTroy Shannon

life cycle costingsystems engineeringdesign optimizationdesignengineering optimizationproduct designsustainable productslife-cycle engineeringlife cycle assessmentsustainable productionproduct life cyclesustainable tradeoff optimizationreliability analysis moduleslife cycle managementsustainable designwhole life costengineeringnew design tool

Importance-Induced Customer Segmentation Using Explainable Machine Learning. Journal of Mechanical Design (2024)

Seyoung ParkYilan JiangHarrison Kim

predictive analyticsmachine learningmarketingcustomer profilingtext miningtrend analysisbusiness intelligencefeature constructiondata miningcustomer segmentationfeature engineeringmachine learning researchbusiness analyticsdata scienceknowledge discoveryneural network (machine learning)feature importance

Large Language Model-Based Online Review Classification for Sub-Feature-Level Customer Opinion Analysis. (2024)

Seyoung Parkjunegak JoungHarrison Hyung Min Kim

marketingdocument classificationtext miningmultimodal sentiment analysissemantic evaluationinformation retrievallanguage modelsnatural language processingautomatic classificationlanguagecustomer reviewslanguage resourceslinguisticsopinion aggregationcontent analysis

Analysis of Brand Effects in Data-Driven Design Based on Online Reviews. Journal of Mechanical Design (2023)

Seyoung ParkHarrison Kim

marketingconsumer researchonline customer behaviordata-driven designnash equilibriuminteractive marketingonline reviewsconsumer appealdigital marketingdata sciencebranding

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Harrison Hyung Min Kim

Professor

UIUC

Affiliations

The Grainger College of Engineering

Department of Industrial and Enterprise Systems Engineering

Industrial & Enterprise Systems Engineering

Harrison Hyung Min Kim is currently serving as an Industrial And Enterprise Systems Engineering Professor at Uiuc.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Harrison Hyung Min Kim

UIUC

Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Dual-Stage Framework for Automated Review Labeling: Integrating Keyword Detection and Large Language Models for Sub-Feature Analysis. (2025)

Yilan JiangSeyoung ParkHarrison Hyung Min Kim

Data-Driven Analysis of Usage-Feature Interactions for New Product Design. Expert Systems with Applications (2025)

Seyoung ParkHarrison Kim

designhuman-computer interactionproduct designuser experienceproduct experiencenew product designinteractive marketingdesign researchconsumer-driven product developmentproduct modeling

Modeling Stochastic Yield Rates in Disassembly Processes for Green Profit Maximization. Proceedings of the Design Society (2025)

Yilan JiangHarrison Kim

Unlocking Product Ecosystem Insights: Analyzing Customer Sentiment and Interoperability Through Video Reviews. Proceedings of the Design Society (2025)

Kangcheng LinHarrison Kim

An Automated Data-Driven Approach for Product Design Strategies to Respond to Market Disruption Following Covid-19. Journal of Mechanical Design (2024)

Seyoung ParkKangcheng LinJunegak JoungHarrison Kim

Automated Sub-Feature Labeling Using Prompt-Based Pretrained Language Model. (2024)

Seyoung ParkYilan JiangHarrison Kim

Calculator for Sustainable Tradeoff Optimization in Multi‐Generational Product Family Development Considering Re‐X Performances. (2024)

Michael SaidaniXinyang LiuDylan HueyHarrison KimPingfeng WangAtefeh AnisiGul KremerAndrew GreenleeTroy Shannon

Importance-Induced Customer Segmentation Using Explainable Machine Learning. Journal of Mechanical Design (2024)

Seyoung ParkYilan JiangHarrison Kim

Large Language Model-Based Online Review Classification for Sub-Feature-Level Customer Opinion Analysis. (2024)

Seyoung Parkjunegak JoungHarrison Hyung Min Kim

Analysis of Brand Effects in Data-Driven Design Based on Online Reviews. Journal of Mechanical Design (2023)

Seyoung ParkHarrison Kim

marketingconsumer researchonline customer behaviordata-driven designnash equilibriuminteractive marketingonline reviewsconsumer appealdigital marketingdata sciencebranding

1
2
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5
19
10 / page