Hyungseok Jeong

Associate professor

Iowa State University

United States

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Hyungseok Jeong is an Associate Professor at Iowa State University in the United States. His research areas include project management, urban highway construction, and the application of technology in construction education. Recent articles by Professor Jeong focus on topics such as risk-based decision-making in construction, predictive modeling for gravel loss, and the use of natural language processing for project requirements analysis.

Articles (17)

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2025

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2025

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2024

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2024

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2022

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2022

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2022

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2021

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2021

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2021

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2021

Collaborators (9)

Jinsil Seo

Associate Professor

Texas A&M University

UNITED STATES

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chau le

Assistant Professor

North Dakota State University

UNITED STATES

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Yong-Cheol Lee

Louisiana State University

UNITED STATES

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Hongjo Kim

Assistant Professor

Yonsei University

SOUTH KOREA

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Prashnna Ghimire

University of Nebraska - Lincoln

UNITED STATES

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Kunhee Choi

Texas A&M University

UNITED STATES

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Miyoung Uhm

Yonsei University

SOUTH KOREA

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Jeramy Ashlock

Assistant Professor

Iowa State University

UNITED STATES

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Jeehee Lee

Assistant Professor

University of Nevada

UNITED STATES

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Hyungseok Jeong

Research Interests

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About

Articles (17)

Technology-Driven Serious Games and Simulations for Construction Management Education

Project Requirements Assignment Using BERT-Based Multilabel Classification and Interactive Mapping System

Examining Critical Factors Affecting Urban Highway Construction Contract Times

Exploring the Long-Term Impact of Preventive Road Treatments on Municipal Highways

Project Requirements Prioritization through NLP-Driven Classification and Adjusted Work Items Analysis

Risk-Based Decision-Making Framework for Implementation of Collaboration and Integration Strategies

Comparative Analysis of Project Risks across Construction Sectors

Natural Language Processing–Driven Similar Project Determination Using Project Scope Statements

Determining the Most Economical Work Zone Lengths for Rural Highway Rehabilitation Projects

Gravel Loss Prediction Model Using Beta Regression

Pareto Principle in Scoping-Phase Cost Estimating: A Multiobjective Optimization Approach for Selecting and Applying Optimal Major Work Items

Integration of Schedule, Cost, Traffic, and Risk into the Determination of Construction Contract Times

Effects of Flexible Notice-to-Proceed Provisions on the Performance of Transportation Infrastructure Projects

Network Theory–Driven Construction Logic Knowledge Network: Process Modeling and Application in Highway Projects

Comprehensive Evaluation of Influential Factors on Public Roadway Project Contract Time

Natural Language Processing–Driven Model to Extract Contract Change Reasons and Altered Work Items for Advanced Retrieval of Change Orders

Evaluation of the Impact of Collaboration and Integration on Performance of Industrial Projects

Collaborators (9)

Jinsil Seo

chau le

Yong-Cheol Lee

Hongjo Kim

Prashnna Ghimire

Kunhee Choi

Miyoung Uhm

Jeramy Ashlock

Jeehee Lee

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