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PROJECT
MANAGEMENT
LAB Prof. Eul-Bum Lee -
PROJECT
MANAGEMENT
LAB Prof. Eul-Bum Lee -
GLOBAL
MEGA PROJECT Engineering Project Management (EPM) & Infrastructure and Construction Management -
PLANT
ENGINEERING Digital Transformation (DX) & Digital Twin (DT)
Artificial Intelligence (AI) and Smart-Engineering -
PROJECT
MANAGEMENT Contract
Claims & Risk Management -
FERROUS TECHNOLOGY POSTECH GIFT
Hot Issue
Project Management & Systems Engineering Lab (PML)
POSTECH PML is a laboratory for reinforcing core management capabilities for the entire project cycle and developing optimal PM technology for successful project management of plant engineering projects such as capital projects in the energy sector. For successful business management of mega-projects including overseas plants, core management capabilities for the entire business cycle, including business feasibility analysis, proposal writing, contract and negotiation, risk management, process management, project cost management, and quality management, and global standard application and optimization We are conducting research to develop PM specialized technology.
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Contact Us
- Room 463, GIFT, POSTECH
- Tel : 054-279-0136 (Office)
- dreblee@postech.ac.kr
News
- Notice [채용] PML 정부과제 수행 연구원 모집 (LLM 개발)
- News 최소원 박사, POSTECH 연구교수 임용 !
- Seminar 최소원 박사과정 UKC2020의 CEA세션에서 최우수 논문상 수상 !
- Seminar (위세아이텍) 자연어처리를 통한 엔지니어링 계약서 리스크 분석
- Column [이슈조명] 수천억 대 계약서, NLP 기술로 ‘독소조항’ 찾는다
- Seminar Prof. Eul-bum Lee received the BEST Presentation Certificate at BDE 2019 !
- News Sustainability Journal ‘EPC PM’ call-for-paper invitation site
Knowledge Graph
Graph Overview of Our Lab
연구실의 정보와 연구성과를 하나의 그래프로 연결했습니다. 노드를 눌러 관계를 따라가 보세요.
PML 연구실의 지식그래프입니다. 구성원은 박사과정 1명, 석사과정 4명, 최소원 연구교수, 졸업생 55명이며, 연구과제는 국책과제 7건과 포스코 그룹 과제 8건입니다. 연구성과는 국제저널 SCI(E) 75편, 국제학회 80편, 국내저널 3편, 특허 9건, 저서 3권이고, 강의는 대학원 정규 강의 4과목과 중공업사 PM 인력 양성교육 4개 프로그램입니다. 핵심 과제는 산업통상부와 KEIT가 지원하는 자율운항 피지컬 AI 모델 개발 및 활용 과제로 2026년 4월부터 2029년 12월까지 수행 중입니다. 상세 내용은 Member, Publications, Research 페이지를 참고하세요.
Publications
- 2025 ADS-LI: A Drone Image-based Segmentation Model for Sustainable Maintenance of Lightning Rods and Insulators in Steel Plant Power Infrastructure
- 2025 Study on Energy Efficiency and Maintenance Optimization of Run-Out Table in Hot Rolling Mills Using Long Short-Term Memory-Autoencoders
- 2025 Artificial Intelligence-Driven Approach to Optimizing Boiler Power Generation Efficiency: The Advanced Boiler Combustion Control Model
- Hazard Identification and Risk Assessment During Simultaneous Operations in Industrial Plant Maintenance Based on Job Safety Analysis
- Auto-Routing Systems (ARSs) with 3D Piping for Sustainable Plant Projects Based on Artificial Intelligence (AI) and Digitalization of 2D Drawings and Specifications
- Development of Cycloid-Shaped Roll Charging Chute for Sintering Process for Energy Decarbonization and Productivity Improvement in Steel Plants
- Prediction Modeling of Flue Gas Control for Combustion Efficiency Optimization for Steel Mill Power Plant Boilers Based on Partial Least Squares Regression (PLSR)
- A Question-Answering Model Based on Knowledge Graphs for the General Provisions of Equipment Purchase Orders for Steel Plants Maintenance
- A Prediction Model for Spot LNG Prices Based on Machine Learning Algorithms to Reduce Fluctuation Risks in Purchasing Prices
- Modeling of Predictive Maintenance Systems for Laser-Welders in Continuous Galvanizing Lines Based on Machine Learning with Welder Control Data
- Machine Learning-Based Tap Temperature Prediction and Control for Optimized Power Consumption in Stainless Electric Arc Furnaces (EAF) of Steel Plants
- Knowledge Retrieval Model Based on a Graph Database for Semantic Search in Equipment Purchase Order Specifications for Steel Plants
- An AI-Based Automatic Risks Detection Solution for Plant Owner’s Technical Requirements in Equipment Purchase Order
- Contractor’s Risk Analysis of Engineering Procurement and Construction (EPC) Contracts Using Ontological Semantic Model and Bi-Long Short-Term Memory (LSTM) Technology
- A Digitalized Design Risk Analysis Tool with Machine-Learning Algorithm for EPC Contractor’s Technical Specifications Assessment on Bidding
- The Engineering Machine-Learning Automation Platform (EMAP): A Big-Data-Driven AI Tool for Contractors’ Sustainable Management Solutions for Plant Projects
- AI and Text-Mining Applications for Analyzing Contractor’s Risk in Invitation to Bid (ITB) and Contracts for Engineering Procurement and Construction (EPC) Projects
- Performance Evaluation of Normalization-based CBR Models for Improving Construction Cost Estimation
- Mitigating the Legal Challenges of Imposing Disincentives on Non-Performing Transportation Projects
- Integrating CA4PRS V.3 road widening schedule module into US highway early constructability process: California SR-91 corridor improvement program case study
Research Achievements
Lab at a Glance
POSTECH GiFT PM Lab의 누적 연구성과
75+
SCI(E)
국제 저널 논문
80+
Conferences
국제 학술대회 발표
15+
Major R&D
국책 7건 · POSCO 8건
80+
Graduate Students
석·박사 지도
