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Eulbeom Lee

Pohang University of Science and Technology · Engineering

About the Lab

Professor Eulbeom Lee's research lab specializes in digital transformation and intelligent decision-making within engineering and construction industries, with a focus on leveraging artificial intelligence, big data analytics, and text-mining for risk management and project optimization. The lab develops AI-driven tools for contract risk analysis, automated design information extraction from engineering drawings, and real-time process prediction in industrial settings such as electric arc furnace steelmaking. Research also extends to infrastructure resilience, particularly in highway rehabilitation planning and long-term asset management under the pressures of aging infrastructure. The lab bridges data science with practical engineering challenges to enhance efficiency, safety, and sustainability in large-scale construction and industrial projects.

AI in constructioncontract risk analysisdigital twinpredictive analyticssmart infrastructure

Research Overview

Papers
110
Total Citations
1,601
Papers (5y)
29
Primary Field
Engineering

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
29total
2021
2022
2023
2024
2025
Citations per year (5y)
297total
20212022202320242025

Selected Papers

15
1
Article|81 citations·2021
The Engineering Machine-Learning Automation Platform (EMAP): A Big-Data-Driven AI Tool for Contractors’ Sustainable Management Solutions for Plant Projects
So-Won Choi, Eul‐Bum Lee, Jonghyun Kim
SJR Q1SustainabilityOA

Plant projects, referred to as Engineering Procurement and Construction (EPC), generate massive amounts of data throughout their life cycle, from the planning stages to the operation and maintenance (OM) stages. Many EPC contractors struggle with their projects due to the complexity of the decision-making processes, owing to the vast amount of project data generated during each project stage. In line with the fourth industrial revolution, the demand for engineering project management solutions t

Building and ConstructionEngineering
2
Article|81 citations·2019
A Digitization and Conversion Tool for Imaged Drawings to Intelligent Piping and Instrumentation Diagrams (P&ID)
Sung-O Kang, Eul‐Bum Lee, Hum-Kyung Baek
SJR Q1EnergiesOA

In the Fourth Industrial Revolution, artificial intelligence technology and big data science are emerging rapidly. To apply these informational technologies to the engineering industries, it is essential to digitize the data that are currently archived in image or hard-copy format. For previously created design drawings, the consistency between the design products is reduced in the digitization process, and the accuracy and reliability of estimates of the equipment and materials by the digitized

Computer Vision and Pattern RecognitionComputer Science
3
Article|69 citations·2005
Computer Simulation Model: Construction Analysis for Pavement Rehabilitation Strategies
Eul‐Bum Lee, C. William Ibbs
SJR Q1Journal of Construction Engineering and Management

Most state highways in the United States were built during the 1960s and 1970s with an infrastructure investment of more than $1 trillion. They now exceed their 20year design lives and are seriously deteriorated. The consequences are high maintenance and road user costs because of degraded road surfaces and construction work zone delays. Efficient planning of highway rehabilitation closures is critical. This paper presents a simulation model, Construction Analysis for Pavement Rehabilitation Str

Building and ConstructionEngineering
4
Article|53 citations·2021
AI and Text-Mining Applications for Analyzing Contractor’s Risk in Invitation to Bid (ITB) and Contracts for Engineering Procurement and Construction (EPC) Projects
Su Seok Choi, So Young Choi, Jong Kim, Eul‐Bum Lee
SJR Q1EnergiesOA

Contractors responsible for the whole execution of engineering, procurement, and construction (EPC) projects are exposed to multiple risks due to various unbalanced contracting methods such as lump-sum turn-key and low-bid selection. Although systematic risk management approaches are required to prevent unexpected damage to the EPC contractors in practice, there were no comprehensive digital toolboxes for identifying and managing risk provisions for ITB and contract documents. This study describ

Management Science and Operations ResearchDecision Sciences
5
Article|36 citations·2023
Machine Learning-Based Tap Temperature Prediction and Control for Optimized Power Consumption in Stainless Electric Arc Furnaces (EAF) of Steel Plants
So-Won Choi, Bo-Guk Seo, Eul‐Bum Lee
SJR Q1SustainabilityOA

The steel industry has been forced to switch from the traditional blast furnace to the electric arc furnace (EAF) process to reduce carbon emissions. However, EAF still relies entirely on the operators’ proficiency to determine the electrical power input. This study aims to enhance the efficiency of the EAF process by predicting the tap temperature in real time through a data-driven approach and by applying a system that automatically sets the input amount of power to the production site. We dev

Mechanical EngineeringEngineering
6
Article|35 citations·2018
Risk Assessment and Mitigation Model for Overseas Steel-Plant Project Investment with Analytic Hierarchy Process—Fuzzy Inference System
Min-Sung Kim, Eul‐Bum Lee, In-Hye Jung, Douglas Alleman
SJR Q1SustainabilityOA

This paper presents an analytic hierarchy process (AHP)-fuzzy inference system (FIS) model to aid decision-makers in the risk assessment and mitigation of overseas steel-plant projects. Through a thorough literature review, the authors identified 57 risks associated with international steel construction, operation, and transference of new technologies. Pairwise comparisons of all 57 risks by 14 subject-matter experts resulted in a relative weighting. Furthermore, to mitigate human subjectivity,

Management Science and Operations ResearchDecision Sciences
7
Article|33 citations·2018
Integrating a Procurement Management Process into Critical Chain Project Management (CCPM): A Case-Study on Oil and Gas Projects, the Piping Process
Sung-Hwan Jo, Eul‐Bum Lee, Kyoung-Youl Pyo
SJR Q1SustainabilityOA

Engineering, Procurement, and Construction (EPC) of oil and gas megaprojects often experience cost overruns due to substantial schedule delays. One of the greatest causes of these overruns is the mismanagement of the project schedule, with the piping works (prefabrication and installation) occupying a majority of that schedule. As such, an effective methodology for scheduling, planning, and controlling of piping activities is essential for project success. To meet this need, this study used the

Management Science and Operations ResearchDecision Sciences
8
Article|30 citations·2011
Selection of Pavement for Highway Rehabilitation Based on Life-Cycle Cost Analysis
Eul‐Bum Lee, Changmo Kim, John Harvey
SJR Q2Transportation Research Record Journal of the Transportation Research BoardOA

Life-cycle cost analysis (LCCA) for highway projects is an analytical technique that uses economic principles to evaluate long-term alternative investment options, especially for comparing the value of alternative pavement structures and strategies. Recently, the California Department of Transportation (Caltrans) mandated LCCA implementation to evaluate the cost-effectiveness of pavement design alternatives for highway projects in the state. An LCCA approach was utilized for validation of the pa

Civil and Structural EngineeringEngineering
9
Article|30 citations·2016
Fast-Track Urban Freeway Rehabilitation with 55-hour Extended Weekend Closures: I-710 Long Beach Case Study
Eul‐Bum Lee, Hojung Lee, John Harvey
Open Access System for Information Sharing (Pohang University of Science and Technology)

As an asphalt concrete demonstration project implemented under the California Department of Transportation's Long-Life Pavement Rehabilitation Strategies program, a 4.4 km stretch of Interstate-710 (1-710) in Long Beach was successfully rehabilitated during eight repeated 55-h extended weekend closures using around-the-c lock construction operations and counterflow traffic. This case study documented the accelerated rehabilitation process, assessed traffic impacts, and compared collecte

Civil and Structural EngineeringEngineering
10
Article|29 citations·2002
Case Study of Urban Concrete Pavement Reconstruction on Interstate 10
Eul‐Bum Lee, Jeff Roesler, John Harvey, C. William Ibbs
SJR Q1Journal of Construction Engineering and Management

Many urban concrete pavements in California need to be reconstructed, as they have exceeded their design lives and require frequent maintenance and repair. Information is needed to determine which methodologies for pavement design, materials selection, traffic management, and reconstruction strategies are most suitable to achieve the objectives of California Department of Transportation’s (Caltrans) long-life pavement rehabilitation strategies (LLPRS) program. To develop construction productivit

Civil and Structural EngineeringEngineering
11
Article|28 citations·2005
Minimizing Total Cost for Urban Freeway Reconstruction with Integrated Construction/Traffic Analysis
Eul‐Bum Lee, C. William Ibbs, David Thomas
SJR Q2Journal of Infrastructure Systems

This paper introduces an innovative approach to development of construction and traffic management plans for the I-15 Devore project, a fast-track urban freeway reconstruction project with high traffic volume in Southern California. The goal of this approach is to determine the most economical reconstruction closure scenario by integrating construction schedule, traffic delay, and agency cost. Construction Analysis for Pavement Rehabilitation Strategies (CA4PRS) software was used for scheduling

Control and Systems EngineeringEngineering
12
Article|26 citations·2000
Construction Productivity and Constraints for Concrete Pavement Rehabilitation in Urban Corridors
Eul‐Bum Lee, C. William Ibbs, John Harvey, Jeff Roesler
SJR Q2Transportation Research Record Journal of the Transportation Research BoardOA

A constructability analysis tool was developed to help the California Department of Transportation (Caltrans) determine which rehabilitation and construction strategies were the most feasible in an urban environment to maximize production and minimize traffic delay. With the assistance of California concrete paving contractors, the constructability analysis explored the effects of the following parameters on the construction production of concrete pavement rehabilitation in California: pavement

Building and ConstructionEngineering
13
Article|26 citations·2019
Using Text Mining to Estimate Schedule Delay Risk of 13 Offshore Oil and Gas EPC Case Studies During the Bidding Process
Byung-Yun Son, Eul‐Bum Lee
SJR Q1EnergiesOA

Korean offshore oil and gas (O&G) mega project contractors have recently suffered massive deficits due to the challenges and risks inherent to the offshore engineering, procurement, and construction (EPC) of megaprojects. This has resulted in frequent prolonged projects, schedule delay, and consequently significant cost overruns. Existing literature has identified one of the major causes of project delays to be the lack of adequate tools or techniques to diagnose the appropriateness and suff

Statistics, Probability and UncertaintyDecision Sciences
14
Article|25 citations·2015
Automated Sequence Selection and Cost Calculation for Maintenance and Rehabilitation in Highway Life-Cycle Cost Analysis (LCCA)
Changmo Kim, Eul‐Bum Lee, John Harvey, Amy Fong, Ray Lott
SJR Q1International Journal of Transportation Science and TechnologyOA

Life-Cycle Cost Analysis (LCCA) for highway projects is an analytical technique that uses economic principles to evaluate long-term alternative investment options, especially for comparing the values of alternative pavement design structures and construction strategies. Several approaches and software have been adopted to undertake LCCA by many transportation agencies in the United States over the last decade. In 2007, the California Department of Transportation (Caltrans) adopted RealCost, the

Civil and Structural EngineeringEngineering
15
Article|25 citations·2021
A Digitalized Design Risk Analysis Tool with Machine-Learning Algorithm for EPC Contractor’s Technical Specifications Assessment on Bidding
Minji Park, Eul‐Bum Lee, seung-yeab Lee, Jonghyun Kim
SJR Q1EnergiesOA

Engineering, Procurement, and Construction (EPC) projects span the entire cycle of industrial plants, from bidding to engineering, construction, and start-up operation and maintenance. Most EPC contractors do not have systematic decision-making tools when bidding for the project; therefore, they rely on manual analysis and experience in evaluating the bidding contract documents, including technical specifications. Oftentimes, they miss or underestimate the presence of technical risk clauses or r

Building and ConstructionEngineering

Research Areas

Civil and Structural EngineeringBuilding and ConstructionManagement Science and Operations ResearchMechanical EngineeringTransportationFinance

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