Auto-Routing Systems (ARSs) with 3D Piping for Sustainable Plant Projects Based on Artificial Intelligence (AI) and Digitalization of 2D Drawings and Specifications
Authors: To be determined
Journal: Sustainability
Date: 2024-03-27
DOI: 10.3390/su16072770
Development of Cycloid-Shaped Roll Charging Chute for Sintering Process for Energy Decarbonization and Productivity Improvement in Steel Plants
Authors: To be determined
Journal: Energies
Date: 2024-03-23
DOI: 10.3390/en17071536
Prediction Modeling of Flue Gas Control for Combustion Efficiency Optimization for Steel Mill Power Plant Boilers Based on Partial Least Squares Regression (PLSR)
Authors: To be determined
Journal: Energies
Date: 2023-09-30
DOI: 10.3390/en16196907
A Question-Answering Model Based on Knowledge Graphs for the General Provisions of Equipment Purchase Orders for Steel Plants Maintenance
Authors: To be determined
Journal: Electronics
Date: 2023-06-01
DOI: 10.3390/electronics12112504
Modeling of Predictive Maintenance Systems for Laser-Welders in Continuous Galvanizing Lines Based on Machine Learning with Welder Control Data
Authors: To be determined
Journal: Sustainability
Date: 2023-05-07
DOI: 10.3390/su15097676
A Prediction Model for Spot LNG Prices Based on Machine Learning Algorithms to Reduce Fluctuation Risks in Purchasing Prices
Authors: To be determined
Journal: Energies
Date: 2023-05
DOI: 10.3390/en16114271
Machine Learning-Based Tap Temperature Prediction and Control for Optimized Power Consumption in Stainless Electric Arc Furnaces (EAF) of Steel Plants
Authors: To be determined
Journal: Sustainability
Date: 2023-04-08
DOI: 10.3390/su15086393
Knowledge Retrieval Model Based on a Graph Database for Semantic Search in Equipment Purchase Order Specifications for Steel Plants
Authors: To be determined
Journal: Sustainability
Date: 2023-04-06
DOI: 10.3390/su15076319
An AI-Based Automatic Risks Detection Solution for Plant Owner’s Technical Requirements in Equipment Purchase Order
Authors: To be determined
Journal: Sustainability
Date: 2022-08-12
DOI: 10.3390/su141610010
Contractor’s Risk Analysis of Engineering Procurement and Construction (EPC) Contracts Using Ontological Semantic Model and Bi-Long Short-Term Memory (LSTM) Technology
Authors: To be determined
Journal: Sustainability
Date: 2022-06-06
DOI: 10.3390/su14116938
The Engineering Machine-Learning Automation Platform (EMAP): A Big-Data-Driven AI Tool for Contractors’ Sustainable Management Solutions for Plant Projects
Authors: To be determined
Journal: Sustainability
Date: 2021-09
DOI: 10.3390/su131810384
AI and Text-Mining Applications for Analyzing Contractor’s Risk in Invitation to Bid (ITB) and Contracts for Engineering Procurement and Construction (EPC) Projects
Authors: So Won Choi (and additional authors as listed in the article)
Journal: Energies
Date: 2021-07-30
DOI: 10.3390/en14154632
Conclusion
Dr. Sowon Choi’s extensive background in data analysis, project management, and strategic planning, combined with her advanced research in AI and EPC projects, makes her an exemplary candidate for the Best Researcher Award. Her innovative work aligns closely with the award criteria, addressing sustainability, efficiency, and technological advancement in project management. Given her diverse experience and strong academic foundation, she demonstrates a well-rounded expertise that positions her as a compelling candidate for this honor.