Daehee Jang | Engineering | Best Researcher Award

Best Researcher Award

Daehee JangDepartment of Architectural Engineering, Chungnam National University, South Korea

Daehee Jang
Affiliation Chungnam National University
Country South Korea
Scopus ID 59008285100
Documents 11
Citations 6
h-index 1
Subject Area Architecture Engineering
Event International Phenomenological Research Awards
ORCID 0009-0001-8515-8987

Daehee Jang is a Ph.D. candidate in Architectural Engineering with a specialization in Structural Engineering at Chungnam National University, South Korea. His research focuses on steel structures, modular building systems, steel plate shear walls, seismic engineering, nonlinear finite element analysis, and performance-based seismic design. His academic and professional activities combine structural engineering research, university-level teaching, and practical structural engineering experience.

His doctoral research addresses the structural performance of inserted steel plate shear wall core systems for steel modular structures, reflecting an interest in improving the seismic response and structural efficiency of modular construction. His publication record includes research on embedded steel plate-concrete shear wall systems, modular steel beam-column connections, timber beam-to-column connections, and finite element analysis of modular structural connections.[1][2]

Abstract

Daehee Jang is an emerging structural engineering researcher whose work is centered on the development and evaluation of steel and modular structural systems. As a Ph.D. candidate in Architectural Engineering at Chungnam National University, his doctoral research investigates the structural performance of inserted steel plate shear wall core systems for steel modular structures. His broader research interests include steel plate shear walls, seismic engineering, structural connections, nonlinear finite element analysis using ABAQUS, tension strip modeling, and performance-based seismic design. His academic profile is complemented by teaching appointments at several Korean universities and approximately three years of professional experience as a structural engineer.

Daehee Jang’s publication portfolio covers analytical, numerical, and experimental aspects of structural systems, including embedded steel plate-concrete shear walls and modular steel beam-column connections. His Scopus profile records 11 documents, 6 citations, and an h-index of 1, providing an identifiable bibliometric record for evaluation. [1][2]

Keywords

Structural engineering; architectural engineering; steel structures; modular building systems; steel plate shear walls; SPSWs; seismic engineering; nonlinear finite element analysis; ABAQUS; performance-based seismic design; structural connections; modular steel structures; seismic performance; steel beam-column connections.

Introduction

Modern modular construction requires structural systems capable of combining manufacturing efficiency with adequate strength, stiffness, ductility, and seismic resilience. Steel modular systems and steel plate shear wall technologies therefore represent important areas of structural engineering research. Jang’s academic work is situated within this context, with particular attention to structural behavior, connection performance, and analytical evaluation of innovative steel systems.

His doctoral studies at Chungnam National University focus on the structural performance of inserted steel plate shear wall core systems for steel modular structures. This research direction connects modular construction with established seismic-resisting structural technologies and emphasizes the assessment of structural response under demanding loading conditions.

Research Profile

Jang’s research profile encompasses several interconnected areas of structural engineering. His principal interests include:

  • Steel structures and structural steel design.
  • Modular building systems and modular steel structures.
  • Steel plate shear walls and seismic-resisting systems.
  • Seismic engineering and performance-based seismic design.
  • Nonlinear finite element analysis using ABAQUS.
  • Tension strip modeling and numerical evaluation of shear wall behavior.
  • Beam-column and modular structural connections.

His educational background includes a Bachelor of Science and Master of Science in Architectural Engineering from Chungnam National University, followed by doctoral study in Architectural Engineering with a Structural Engineering specialization. His Ph.D. research is expected to be completed in February 2027.

In addition to research, Jang has served as a lecturer at Hannam University, Chungnam National University, Daejeon University, and Kyung Hee Cyber University. His teaching responsibilities have included steel structures, steel structure design, engineering mathematics, structural mechanics, and reinforced concrete and steel structures.[1][2]

Research Contributions

Daehee Jang’s research contributions are primarily associated with the analysis and evaluation of structural systems intended to improve the performance of steel and modular buildings. His work on embedded steel plate-concrete shear wall systems examines analytical characteristics relevant to the behavior of hybrid structural wall systems. [3]

His research on modular steel beam-column connections addresses seismic behavior and connection configurations incorporating H-shaped brackets. Such research is relevant to the structural continuity and seismic performance of modular steel construction, where connection behavior is a significant component of overall structural response. [4]

Additional research examines failure modes and stiffness evaluation of timber beam-to-column connections through case studies, broadening the scope of his structural connection research beyond steel-only systems. [5]

His research experience also includes nonlinear finite element modeling using ABAQUS, tension strip modeling, seismic performance evaluation, innovative modular core systems, and beam-column connection behavior. These methods provide a computational and analytical foundation for evaluating structural response under nonlinear loading conditions.

Publications

Daehee Jang’s publications examine embedded steel plate-concrete shear walls, modular steel beam-column connections, and structural connection behavior, combining finite element analysis with seismic performance evaluation. His 2025 ESPC study identifies key effects of plate thickness, stud spacing, and aspect ratio. [3] [4][5]

The supplied publication record indicates four SCI journal papers, two Scopus-indexed papers, and one KCI journal paper. The following selected publications illustrate the principal themes of Jang’s research:

  1. Jang, D., & Lee, K. (2025). Analytical study of embedded steel plate-concrete (ESPC) shear wall system. Steel and Composite Structures, 56(3), 247–?. [3]
  2. Jang, D., Kim, Y., Kim, E., & Lee, K. (2025). Seismic behavior of modular steel beam-column connection with H-shaped bracket. Journal of Constructional Steel Research, 109774. [4]
  3. Jang, D., Kim, Y., Oh, K., Shin, D.-H., Park, K.-S., & Lee, K. (2025). Failure modes and stiffness evaluation of timber beam-to-column connections using case studies. Journal of the Architectural Institute of Korea, 41(5), 251–?. [5]
  4. Jang, D., & Lee, K. (2024). Finite element analysis of beam-to-column connection in modular system considering panel zone strength and bracket shape.

Research Impact

Daehee Jang’s research addresses structural challenges associated with modular construction and seismic-resistant structural systems. The combination of modular steel construction, steel plate shear walls, structural connections, and nonlinear numerical analysis provides a coherent research direction focused on understanding and improving structural performance.

His Scopus record currently contains 11 documents, 6 citations, and an h-index of 1. [1] These metrics represent an early-stage research profile and should be interpreted in the context of his ongoing doctoral education and developing publication record. His publication activity in SCI, Scopus-indexed, and KCI journals demonstrates continuing engagement with scholarly structural engineering research.

The relevance of his work is further supported by research addressing modular connection seismic behavior and analytical evaluation of steel plate-concrete shear wall systems. [3] [4]

Award Suitability

For consideration for the Best Researcher Award, Daehee Jang presents a developing academic profile characterized by a focused specialization in structural and architectural engineering. His doctoral research addresses a technically relevant problem in modular steel construction, while his publication record demonstrates engagement with structural wall systems, modular connections, and numerical structural analysis.

Key factors supporting his suitability include:

  • A clearly defined research specialization in steel and modular structural systems.
  • Doctoral research focused on inserted steel plate shear wall core systems for steel modular structures.
  • Research experience involving nonlinear finite element analysis and seismic performance evaluation.
  • Peer-reviewed publication activity across SCI, Scopus-indexed, and KCI outlets.
  • Academic teaching experience across structural engineering and related engineering subjects.
  • Professional structural engineering experience complementing his academic research.

Taken together, these elements indicate an emerging researcher with a specialized research agenda and a combination of academic, computational, teaching, and professional structural engineering experience. The award assessment should consider the full body of submitted evidence, including publications, research originality, methodological contributions, and demonstrated influence within the field.[1][2]

Conclusion

Daehee Jang is an emerging structural engineering researcher affiliated with Chungnam National University whose work concentrates on steel structures, modular construction, steel plate shear walls, structural connections, and seismic performance. His doctoral research on inserted steel plate shear wall core systems for steel modular structures represents a focused contribution to the study of resilient modular structural systems.

His combination of research publications, finite element analysis expertise, academic teaching, and professional structural engineering experience provides a multidisciplinary foundation for continued development as a structural engineering researcher. His current Scopus record and publication portfolio indicate an early but active research trajectory, with potential for further contributions as his doctoral research and subsequent scholarly work progress.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Daehee Jang, Author ID 59008285100. Scopus. https://www.scopus.com/authid/detail.uri?authorId=59008285100
  2. ORCID. (n.d.). Daehee Jang, ORCID 0009-0001-8515-8987. ORCID. https://orcid.org/0009-0001-8515-8987
  3. Jang, D., & Lee, K. (2025). Analytical study of embedded steel plate-concrete (ESPC) shear wall system. Steel and Composite Structures, 56(3), 247–?. DOI: https://doi.org/10.12989/SCS.2025.56.3.247
  4. Jang, D., Kim, Y., Kim, E., & Lee, K. (2025). Seismic behavior of modular steel beam-column connection with H-shaped bracket. Journal of Constructional Steel Research, 109774. DOI: https://doi.org/10.1016/j.jcsr.2025.109774
  5. Jang, D., Kim, Y., Oh, K., Shin, D.-H., Park, K.-S., & Lee, K. (2025). Failure modes and stiffness evaluation of timber beam-to-column connections using case studies. Journal of the Architectural Institute of Korea, 41(5), 251–?. DOI: https://doi.org/10.5659/JAIK.2025.41.5.251
  6. Related publication: Jang, D., & Lee, K. (2024). Finite element analysis of beam-to-column connection in modular system considering panel zone strength and bracket shape.

Abhijeet Das | Engineering | Cutting Edge Scientific Achievement Award

Dr. Abhijeet Das | Engineering | Cutting Edge Scientific Achievement Award 

Research Consultant at C.V. Raman Global University | India

Dr. Abhijeet Das is a distinguished researcher in Civil and Water Resources Engineering, known for his impactful contributions to hydrology, water quality, and environmental sustainability. With a career spanning academic teaching, consultancy, and international collaborations, he has demonstrated excellence in advancing methods of water quality assessment, climate change analysis, and sustainable water management practices. His interdisciplinary approach integrates hydrological modeling, GIS, and machine learning, creating solutions for both local and global water challenges. Dr. Abhijeet Das has authored books, research articles, and innovative patents, reflecting his vision of applying science and technology to address pressing environmental and societal needs.

Profile:

Orcid 

Education:

Dr. Abhijeet Das holds a Ph.D. in Water Resources Engineering from C.V. Raman Global University, where he specialized in hydrological modeling, water quality management, and GIS-based analysis. He earned his M.Tech in Water Resources Engineering from Biju Patnaik University of Technology, following his B.Tech in Civil Engineering from the same institution. His education built a strong foundation in watershed hydrology, climate change impact assessment, and environmental sustainability. Dr. Abhijeet Das’s academic achievements were marked by high distinctions, and he consistently pursued excellence in research-oriented projects. His progression from undergraduate to doctoral studies reflects a clear dedication to solving water resource challenges.

Experience:

Dr. Abhijeet Das has accumulated valuable experience as a researcher, consultant, and educator in civil and water resources engineering. He has taught undergraduate and postgraduate students at premier engineering institutions, nurturing the next generation of engineers and researchers. His consultancy roles allowed him to lead projects involving hydrological assessments, water resource management, and GIS-based solutions for river basin studies. Beyond national engagements, he has collaborated with international universities, working on projects related to wastewater management, climate impact analysis, and geoinformatics. Dr. Abhijeet Das’s combined academic and professional experience reflects his ability to bridge research, teaching, and practical applications.

Research Interests:

Dr. Abhijeet Das’s research interests encompass watershed hydrology, water resources engineering, and hydrological extremes such as droughts and floods. He focuses on climate change impact assessment and its influence on water security, emphasizing sustainable solutions. His expertise extends to the Food-Energy-Water nexus, applying machine learning, GIS, and remote sensing to optimize water management strategies. Dr. Abhijeet Das also contributes to simulation-optimization modeling, neural networks, and fuzzy logic applications for water quality control. His work highlights environmental impact assessment and sustainable management approaches, ensuring that his research directly supports global goals of resilience, sustainability, and resource conservation.

Awards and Honors:

Dr. Abhijeet Das has been honored with multiple awards for his innovative research and outstanding academic contributions. His papers on water quality assessment and GIS-based modeling have received recognition at prestigious national and international conferences. He has won best paper awards for advancing novel methodologies in multivariate statistical analysis and decision-making approaches for water quality management. Additionally, his poster presentations have earned accolades for their clarity, innovation, and societal relevance. Dr. Abhijeet Das’s recognition extends to his role as a valued reviewer and editor for renowned international journals, reflecting his leadership and credibility within the scientific and engineering community.

Publications:

Title: An optimization-based framework for water quality assessment and pollution source apportionment employing GIS and machine learning techniques for smart surface water governance
Year of Publication: 2025

Title: A data-driven approach utilizing machine learning (ML) and geographical information system (GIS)-based time series analysis with data augmentation for water quality assessment in Mahanadi River Basin, Odisha, India
Citation: 2
Year of Publication: 2025

Title: Evaluation and prediction of surface water quality status for drinking purposes using an integrated water quality indices, GIS approaches, and machine learning techniques
Citation: 1
Year of Publication: 2025

Title: Bioplastics: a sustainable alternative or a hidden microplastic threat
Year of Publication: 2025

Title: Surface water quality assessment for drinking and pollution source characterization: A water quality index, GIS approach, and performance evaluation utilizing machine learning analysis
Year of Publication: 2025

Title: Geographical Information System–driven intelligent surface water quality assessment for enhanced drinking and irrigation purposes in Brahmani River, Odisha (India)
Citation: 6
Year of Publication: 2025

Title: Spatiotemporal evaluation and impact of superficial factors on surface water quality for drinking using innovative techniques in Mahanadi River Basin, Odisha, India
Year of Publication: 2025

Conclusion:

Dr. Abhijeet Das has established himself as a dedicated scholar and innovator in water resources and environmental engineering. His research advances the understanding of hydrological systems, water quality monitoring, and climate change adaptation strategies. By integrating modern tools like GIS, machine learning, and multivariate statistical methods, he has proposed solutions with practical implications for sustainable development. Recognized with awards and widely published, Dr. Abhijeet Das represents a new generation of engineers combining academic rigor with societal impact. His body of work exemplifies excellence in research, making him a highly deserving candidate for recognition through this award nomination.