Best Researcher Award
Dongwook Kim
Daelim Industrial Co., Ltd, South Korea
| Dongwook Kim |
| Affiliation |
Daelim Industrial Co., Ltd |
| Country |
South Korea |
| Scopus ID |
57189694073 |
| Documents |
25 |
| Citations |
125 |
| h-index |
6 |
| Subject Area |
Computational Modeling and Simulation of FRPs |
| Event |
International Research Awards on Fiberreinforced Polymer |
Dongwook Kim is a South Korean researcher and engineering professional affiliated with Daelim Industrial Co., Ltd. His scholarly activities focus on computational modeling, building information modeling (BIM), structural engineering, digital construction technologies, and simulation methodologies applicable to fiber-reinforced polymer and infrastructure systems. Through contributions in automated compliance checking, quality control frameworks, and intelligent prediction models, his work demonstrates an interdisciplinary approach that combines engineering practice with digital transformation initiatives in construction research.[1]
Abstract
This article presents an overview of the research activities and scholarly achievements of Dongwook Kim. His publications emphasize the integration of BIM technologies, semantic interpretation systems, automated quality control procedures, and predictive analytics for advanced infrastructure applications. The research portfolio reflects growing contributions to smart construction methodologies and computational engineering practices relevant to modern structural systems.[2]
Keywords
Computational Modeling, Building Information Modeling, Fiber-Reinforced Polymer, Smart Construction, Structural Engineering, Simulation, Digital Twin Technology.
Introduction
The increasing adoption of digital technologies in civil engineering has created opportunities for integrating computational modeling with intelligent infrastructure management. Dongwook Kim’s research aligns with this transition by developing methodologies that improve regulatory compliance verification, shape quality control, and predictive assessment of structural performance. These investigations contribute to enhanced efficiency and reliability in engineering practice.[3]
Research Profile
According to available bibliometric indicators, the researcher has produced twenty-five scholarly documents and accumulated more than one hundred citations with an h-index of six. His studies address computational modeling and simulation techniques, particularly within the domains of structural systems and digital construction management.[1]
Research Contributions
- Development of ontology-driven semantic rule interpretation for automated regulatory compliance checking.
- Creation of BIM-integrated frameworks for production-scale quality control of precast concrete members.
- Application of multitask learning techniques for fatigue prediction in composite deck slabs.
- Research on innovative connection systems for composite Rahmen bridges and construction efficiency enhancement.
Publications
- Automated BIM-Based Regulatory Compliance Checking for Bridge Infrastructure Using Ontology-Driven Semantic Rule Interpretation: A Multi-Model Validation Study.
- Automated BIM-Integrated 3D Laser Scanning Framework for Shape Quality Control of Precast Concrete Members.
- Automation of Shape Quality Control for Precast Concrete Members Using 3D Scanning and BIM.
- Multitask Learning-Based Prediction of Fatigue Performance in Steel–Concrete Composite Deck Slabs.
- Corrugated Inner Wall Connections for Composite Rahmen Bridges: Advancing Design and Construction Efficiency.
Research Impact
The research outputs of Dongwook Kim contribute to the advancement of intelligent infrastructure systems by enabling automated decision-making and improving the precision of engineering workflows. The integration of machine learning and BIM methodologies provides practical implications for construction productivity, quality assurance, and sustainable infrastructure management.[4]
Award Suitability
The combination of interdisciplinary scholarship, publication productivity, and measurable citation performance indicates that Dongwook Kim demonstrates qualifications consistent with the objectives of the International Research Awards on Fiberreinforced Polymer. His investigations into computational simulation and digital construction frameworks support the broader advancement of engineering research and innovation.[5]
Conclusion
Dongwook Kim’s body of work reflects a sustained commitment to computational engineering, intelligent infrastructure systems, and advanced construction technologies. His publications and research outcomes illustrate the growing role of digital methodologies in structural engineering and provide a foundation for future developments in smart and resilient infrastructure systems.[6]
External Links
References
- Elsevier. (n.d.). Scopus author details: Dongwook Kim, Author ID 57189694073. Scopus.
https://www.scopus.com/authid/detail.uri?authorId=57189694073
- Kim, D. (2026). Automated BIM-Integrated 3D Laser Scanning Framework for Shape Quality Control of Precast Concrete Members.
https://doi.org/10.3390/buildings16122383
- Kim, D. (2026). Automation of Shape Quality Control for Precast Concrete Members Using 3D Scanning and BIM.
- Kim, D. (2026). Multitask Learning-Based Prediction of Fatigue Performance in Steel–Concrete Composite Deck Slabs.
https://doi.org/10.12989/sss.2026.37.4.301
- Kim, D. (2025). Corrugated Inner Wall Connections for Composite Rahmen Bridges: Advancing Design and Construction Efficiency.
https://doi.org/10.1016/j.kscej.2025.100195
- International Research Awards on Fiberreinforced Polymer. (n.d.). Award information and recognition criteria.
fiberreinforcedpolymer.com