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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)
- 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
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
- 2024 Hazard Identification and Risk Assessment During Simultaneous Operations in Industrial Plant Maintenance Based on Job Safety Analysis
- 2024 Auto-Routing Systems (ARSs) with 3D Piping for Sustainable Plant Projects Based on Artificial Intelligence (AI) and Digitalization of 2D Drawings and Specifications
- 2024 Development of Cycloid-Shaped Roll Charging Chute for Sintering Process for Energy Decarbonization and Productivity Improvement in Steel Plants
- 2023 Prediction Modeling of Flue Gas Control for Combustion Efficiency Optimization for Steel Mill Power Plant Boilers Based on Partial Least Squares Regression (PLSR)
- 2023 A Question-Answering Model Based on Knowledge Graphs for the General Provisions of Equipment Purchase Orders for Steel Plants Maintenance
- 2023 A Prediction Model for Spot LNG Prices Based on Machine Learning Algorithms to Reduce Fluctuation Risks in Purchasing Prices
- 2023 Modeling of Predictive Maintenance Systems for Laser-Welders in Continuous Galvanizing Lines Based on Machine Learning with Welder Control Data
- 2023 Machine Learning-Based Tap Temperature Prediction and Control for Optimized Power Consumption in Stainless Electric Arc Furnaces (EAF) of Steel Plants
- 2023 Knowledge Retrieval Model Based on a Graph Database for Semantic Search in Equipment Purchase Order Specifications for Steel Plants
- 2022 An AI-Based Automatic Risks Detection Solution for Plant Owner’s Technical Requirements in Equipment Purchase Order
- 2022 Contractor’s Risk Analysis of Engineering Procurement and Construction (EPC) Contracts Using Ontological Semantic Model and Bi-Long Short-Term Memory (LSTM) Technology
- 2021 A Digitalized Design Risk Analysis Tool with Machine-Learning Algorithm for EPC Contractor’s Technical Specifications Assessment on Bidding
- 2021 The Engineering Machine-Learning Automation Platform (EMAP): A Big-Data-Driven AI Tool for Contractors’ Sustainable Management Solutions for Plant Projects
- 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
- 2020 Performance Evaluation of Normalization-based CBR Models for Improving Construction Cost Estimation
- 2020 Mitigating the Legal Challenges of Imposing Disincentives on Non-Performing Transportation Projects
- 2020 Integrating CA4PRS V.3 road widening schedule module into US highway early constructability process: California SR-91 corridor improvement program case study
Lab at a Glance
POSTECH GiFT PM Lab의 누적 연구성과


