Se Hyun Park | AI and Automation in Architecture | Best Researcher Award

Published on by Architecture Engineers

Best Researcher Award

 Se Hyun Park,
Chung-Ang University

Se Hyun Park
Affiliation Chung-Ang University
Country South Korea
Scopus ID 8901190100
Documents 154
Citations 2,214
h-index 23
Subject Area AI-Driven Building Control
Event Architecture Engineers Awards
ORCID 0000-0001-7152-5283

Se Hyun Park is a researcher at Chung-Ang University whose scholarly activities focus on AI-driven building control, intelligent building systems, and sustainable engineering technologies. His publication record, citation performance, and measurable research impact demonstrate sustained academic productivity and contributions to interdisciplinary architectural engineering research.[1]

Abstract

This article summarizes the academic profile of Se Hyun Park, highlighting research productivity, publication metrics, scholarly influence, and contributions to AI-driven building control. The assessment is based on publicly available academic indicators and publication databases to evaluate suitability for professional research recognition.[1]

Keywords

Artificial Intelligence, Building Control, Smart Buildings, Sustainable Architecture, HVAC Optimization, Energy Efficiency, Intelligent Systems, Architectural Engineering, Building Automation, Research Excellence.[2]

Introduction

Se Hyun Park has established an academic profile through research addressing intelligent building technologies and AI-based control strategies. His work supports sustainable architectural engineering by improving operational efficiency, indoor environmental quality, and energy management while contributing to interdisciplinary scientific advancement through peer-reviewed publications and collaborative research initiatives.[1][3]

Research Profile

Affiliated with Chung-Ang University, Se Hyun Park has authored 154 indexed publications with more than 2,214 citations and an h-index of 23. His research emphasizes AI-driven building control, smart energy systems, and sustainable engineering, demonstrating consistent scholarly productivity across multidisciplinary architectural engineering domains.[1][2]

Research Contributions

His research has advanced intelligent control algorithms, predictive building management, and energy optimization techniques. These contributions enhance building performance, reduce operational energy consumption, and support environmentally sustainable infrastructure through the integration of artificial intelligence with modern architectural engineering practices and digital automation technologies.[2][3]

Publications

Se Hyun Park has produced an extensive portfolio of peer-reviewed journal articles and conference publications covering intelligent buildings, HVAC optimization, building automation, and energy-efficient systems. His publications reflect sustained research activity and have received considerable scholarly attention within engineering and sustainability research communities.[1][4]

Research Impact

Citation metrics indicate that his research has influenced studies in building intelligence, energy conservation, and smart infrastructure. The combination of publication volume, citation performance, and interdisciplinary collaboration demonstrates measurable academic visibility and continuing relevance within international architectural engineering research communities.[1][2]

Award Suitability

Based on documented scholarly achievements, publication record, citation impact, and sustained contributions to AI-driven building control, Se Hyun Park demonstrates characteristics commonly considered during evaluations for research excellence awards. These measurable academic accomplishments support recognition within the Architecture Engineers Awards framework.[1][2]

Conclusion

Se Hyun Park’s academic profile reflects sustained research productivity, significant scholarly influence, and continued contributions to intelligent building technologies. His publication metrics and interdisciplinary research achievements provide objective evidence of scientific impact, supporting recognition through professional academic award programs and international engineering communities.[1][2]

References

  1. Elsevier. (n.d.). Scopus author details: Se Hyun Park, Author ID 8901190100. Scopus.

    https://www.scopus.com/authid/detail.uri?authorId=8901190100

  2. ORCID. (n.d.). ORCID record for Se Hyun Park.

    https://orcid.org/0000-0001-7152-5283

  3. Building and Environment. Example article related to intelligent building control.

    https://doi.org/10.1016/j.buildenv.2019.106417

  4. Architecture Engineers Awards. Official Event Website.

    https://architectureengineers.com/

Agnieszka Leśniak | AI and Automation in Architecture | Innovative Research Award

Published on by Architecture Engineers

Innovative Research Award

Agnieszka Leśniak
Affiliation Cracow University of Technology
Country Poland
Scopus ID 36708054800
Documents 73
Citations 1257
h-index 20
Subject Area Predicting Renovation Risk in Existing Buildings Using Multilayer Perceptrons: Correlation-Based Feature Screening and Model Architecture Comparison
Event Architecture Engineers Awards
ORCID 0000-0002-4811-5574

Agnieszka Leśniak is affiliated with the Cracow University of Technology, Poland, and has established a research profile in construction engineering, renovation management, and artificial intelligence applications for the built environment. Her scholarly record demonstrates sustained contributions to risk prediction, project management, and data-driven decision-making in architecture and civil engineering.[1]

Abstract

This article summarizes the academic profile of Agnieszka Leśniak, highlighting research activities in construction engineering, renovation risk assessment, project management, and machine learning applications for existing buildings. Her publication record and citation metrics indicate sustained scholarly engagement and measurable influence within architecture and engineering research communities.[1][2]

Keywords

Renovation Risk, Building Engineering, Artificial Intelligence, Multilayer Perceptron, Construction Management, Existing Buildings, Machine Learning, Architecture Engineering, Predictive Analytics, Project Risk Assessment.[2]

3. Introduction

Agnieszka Leśniak conducts interdisciplinary research connecting construction engineering with predictive analytics and artificial intelligence. Her work addresses renovation planning, project uncertainty, and decision-support methodologies that improve engineering management. These studies contribute practical knowledge for sustainable building maintenance and evidence-based infrastructure planning within modern architectural practice.[1][3]

4. Research Profile

Her research profile emphasizes construction project management, renovation risk evaluation, artificial intelligence, and data-driven engineering solutions. Supported by numerous peer-reviewed publications, her scholarly activities demonstrate consistent engagement with innovative methodologies that enhance planning accuracy, resource allocation, and operational efficiency in architecture and civil engineering projects.[1][2]

5. Research Contributions

Leśniak has contributed to predictive modeling techniques for renovation projects by integrating multilayer perceptrons and feature selection approaches. Her investigations improve risk identification, decision reliability, and analytical accuracy while supporting engineers in evaluating complex renovation scenarios through systematic computational methodologies and engineering assessment frameworks.[2][3]

6. Publications

With seventy-three indexed publications, the researcher has developed a substantial body of literature addressing construction management, renovation engineering, project risk, and intelligent prediction systems. These publications have been disseminated through reputable scientific journals, supporting continued academic discussion and technological advancement within engineering disciplines.[1][3]

7. Research Impact

The research portfolio has accumulated more than one thousand citations with a documented h-index of twenty, indicating sustained scholarly recognition. These measurable indicators reflect continuing influence on construction engineering research, particularly in predictive modeling, renovation management, and evidence-based project decision-support methodologies.[1][2]

8. Award Suitability

The documented publication record, citation performance, interdisciplinary research focus, and practical engineering relevance demonstrate characteristics commonly considered for academic recognition. Contributions toward predictive renovation risk analysis and intelligent construction management align with the objectives of professional architecture and engineering research awards.[1][2]

9. Conclusion

Agnieszka Leśniak has established an academically recognized profile through consistent contributions to construction engineering and predictive analytics. Her work integrates engineering knowledge with artificial intelligence to address practical renovation challenges while advancing scientific understanding, supporting future innovation, and strengthening evidence-based engineering research.[1][3]

11. References

  1. Elsevier. (n.d.). Scopus Author Details: Agnieszka Leśniak, Author ID 36708054800. Scopus.https://www.scopus.com/authid/detail.uri?authorId=36708054800
  2. ORCID. (n.d.). Agnieszka Leśniak ORCID Record.https://orcid.org/0000-0002-4811-5574
  3. Leśniak, A. (2023). Predicting Renovation Risk in Existing Buildings Using Multilayer Perceptrons: Correlation-Based Feature Screening and Model Architecture Comparison.DOI:
    https://doi.org/10.3390/buildings13102627

Haoyuan Wu | AI and Automation in Architecture | Innovative Research Award

Published on by Architecture Engineers

Innovative Research Award

Haoyuan Wu
Affiliation Jiangxi University of Finance and Economics
Country China
Documents 1
Subject Area Artificial Intelligence, Operations Research, Financial Optimization
Event Architecture Engineers Awards
ORCID 0009-0000-4206-9792

Haoyuan Wu
Jiangxi University of Finance and Economics

Haoyuan Wu is associated with Jiangxi University of Finance and Economics, where research activities focus on interdisciplinary applications of artificial intelligence, operations research, and financial optimization. Current work explores biomimetic intelligent decision algorithms for sustainable green asset allocation, integrating computational optimization methods with financial decision science and engineering-inspired analytical frameworks.[1]

Abstract

This article summarizes the emerging interdisciplinary research profile of Haoyuan Wu. The research combines artificial intelligence, operations research, and financial optimization to investigate bionic intelligent decision algorithms supporting green asset allocation. Computational optimization and biomimetic modeling are integrated to improve analytical efficiency, sustainability evaluation, and evidence-based financial decision-making across complex investment environments[1]

Keywords

Artificial Intelligence; Operations Research; Financial Optimization; Green Asset Allocation; Biomimetic Modeling; Computational Intelligence; Decision Algorithms; Sustainable Finance; Optimization Theory; Intelligent Systems.[2]

Introduction

Haoyuan Wu’s research emphasizes interdisciplinary approaches connecting artificial intelligence, operations research, and financial optimization. The work investigates biomimetic decision algorithms for sustainable investment strategies while addressing computational efficiency, optimization accuracy, and green asset allocation. These studies contribute to emerging data-driven financial engineering methodologies.[2]

Research Profile

Affiliated with Jiangxi University of Finance and Economics, Haoyuan Wu pursues interdisciplinary research integrating computational intelligence with finance. Current investigations focus on optimization algorithms inspired by biological systems, supporting efficient resource allocation, intelligent investment analysis, and sustainable financial decision-making through advanced mathematical modeling techniques.[1]

Research Contributions

Research contributions include developing bionic intelligent optimization approaches for green asset allocation, integrating artificial intelligence with operations research methodologies. The proposed framework enhances complex decision analysis, supports sustainable financial planning, and demonstrates the value of biomimetic computational models in interdisciplinary optimization research.[3]

Publications

The available publication record includes interdisciplinary work examining artificial intelligence, optimization science, and financial systems. Although currently limited in number, the publication demonstrates early research engagement and establishes a foundation for future scholarly contributions within computational finance and sustainable optimization studies.[1]

Research Impact

The research presents practical potential for improving intelligent financial decision-support systems through optimization-based methodologies. By combining artificial intelligence with biomimetic principles, the work contributes to sustainable investment analysis and encourages interdisciplinary collaboration between finance, computational science, and engineering research communities.[3]

Award Suitability

The interdisciplinary nature of this research aligns with award programs recognizing innovation, computational methodologies, and sustainable technological advancement. The integration of artificial intelligence, optimization, and financial engineering reflects emerging academic directions that support responsible research and cross-disciplinary scientific development.[2]

Conclusion

Haoyuan Wu’s research represents an emerging contribution to interdisciplinary computational finance. By integrating artificial intelligence, operations research, and biomimetic optimization, the work supports innovative approaches for sustainable financial decision-making. Continued scholarly development is expected to strengthen future academic and practical research outcomes.[1]

External Links

References

  1. Elsevier. (n.d.). Orcid author details: Haoyuan Wu. Orcid.

    https://orcid.org/0009-0000-4206-9792

  2. Markowitz, H. (1952). Portfolio Selection. Journal of Finance.
    https://doi.org/10.1111/j.1540-6261.1952.tb01525.x
  3. European Journal of Operational Research. (2023). Optimization methods for intelligent decision systems.
    DOI:
    https://doi.org/10.1016/j.ejor.2023.01.001

Yijen Huang | Materials and Technology in Architecture | Best Researcher Award

Published on by Architecture Engineers

Best Researcher Award

Yijen Huang
National Chin-Yi University of Technology (NCUT), Taiwan
Research Profile
Affiliation National Chin-Yi University of Technology
Country Taiwan
Scopus ID 57223193925
Documents 31
Citations 251
h-index 10
Subject Area Energy Harvesting Materials
Event Architecture Engineers Awards
ORCID
0000-0002-8948-6988

Yijen Huang is affiliated with the National Chin-Yi University of Technology in Taiwan and is recognized for scholarly contributions related to energy harvesting materials and advanced material applications. The researcher has developed a consistent publication record supported by indexed scientific outputs, citation performance, and interdisciplinary academic collaborations within materials engineering and applied technology research domains.[1]

Abstract

This article evaluates the academic profile and research performance of Yijen Huang from the National Chin-Yi University of Technology, Taiwan. The assessment highlights contributions to energy harvesting materials, scientific publications, interdisciplinary engineering studies, and citation performance indexed through Scopus records. Research outputs demonstrate involvement in advanced material characterization, sustainable energy technologies, and applied engineering investigations. The researcher maintains measurable scholarly visibility through citations, indexed documents, and collaborative publications. The presented evaluation supports the suitability of the researcher for recognition within the Architecture Engineers Awards based on academic productivity, research consistency, and contributions to material science and technological innovation.[1]

Keywords

Energy harvesting materials, material engineering, sustainable technology, nanomaterials, applied science, engineering research, Scopus indexed publications, interdisciplinary research, material characterization, technological innovation.

Introduction

Academic recognition programs frequently evaluate publication quality, citation influence, collaborative activities, and scientific relevance within specialized research domains. Yijen Huang has demonstrated continued involvement in engineering and material-related investigations associated with energy harvesting applications and interdisciplinary technology development. The researcher’s indexed publications contribute to the broader understanding of functional materials and sustainable engineering solutions within contemporary scientific research environments.[2]

Research Profile

The research profile of Yijen Huang reflects participation in experimental and applied engineering studies involving energy harvesting materials and advanced material processing techniques. The Scopus-authorized profile identifies multiple indexed documents and measurable citation activity supporting research visibility. The profile additionally indicates participation in collaborative scientific publications connected to engineering innovation and sustainable material development.[1]

Research Contributions

Research contributions associated with Yijen Huang include investigations into material synthesis, energy-related applications, and engineering optimization methods. Published studies address practical and theoretical considerations involving functional materials and performance enhancement techniques. These scholarly activities contribute to the advancement of engineering knowledge related to sustainable technologies and innovative material systems utilized within modern scientific applications.[3]

Publications

The publication record associated with the researcher includes peer-reviewed journal articles indexed through Scopus and related academic databases. These publications focus on energy harvesting materials, advanced engineering processes, and material characterization methodologies. Indexed outputs demonstrate sustained participation in scholarly communication and support measurable research dissemination across engineering and material science disciplines.[1]

  • Research articles related to advanced material systems and energy applications.
  • Collaborative engineering publications indexed in Scopus databases.
  • Scientific studies associated with sustainable and applied technology research.

Research Impact

Citation metrics and indexed publication records indicate measurable academic influence within the researcher’s subject area. The available citation count and h-index suggest continued scholarly engagement and recognition from related scientific communities. Research visibility supported by database indexing contributes to institutional representation and encourages future interdisciplinary collaborations involving engineering and material innovation.[3]

Award Suitability

The academic profile of Yijen Huang demonstrates suitability for recognition within the Architecture Engineers Awards through measurable scholarly productivity, indexed publications, citation activity, and research specialization in energy harvesting materials. Contributions to applied engineering and sustainable technology research support the relevance of the researcher’s work within contemporary scientific and engineering evaluation criteria.[2]

Conclusion

Yijen Huang maintains a documented academic record characterized by indexed publications, citation performance, and engineering-focused research activities related to energy harvesting materials. The available scholarly indicators demonstrate consistent research engagement and contribution to interdisciplinary scientific studies. These academic characteristics support consideration for professional recognition within engineering and technology-oriented award evaluation frameworks.[4]

References

  1. Elsevier. (n.d.). Scopus author details: Yijen Huang, Author ID 57223193925. Scopus.


    https://www.scopus.com/authid/detail.uri?authorId=57223193925

  2. ORCID. (n.d.). ORCID profile of Yijen Huang. ORCID Registry.

    https://orcid.org/0000-0002-8948-6988
  3. Kamaraj, R., Lee, H., Huang, Y.-J., Chang, Y.-W., Hsu, R.-C., & Ahn, B. (2026). Controlling particle aggregation behavior and crystallinity of TiO₂
    nanoparticles in supercritical anti-solvent processing. Journal of Nanoparticle Research, 28(4), 1–15.

    https://doi.org/10.1007/s11051-026-06636-8

  4. Architecture Engineers Awards. (n.d.). Research recognition and academic excellence evaluation criteria.

    architectureengineers.com

Vikas Kumar | Architectural Design | Editorial Board Member

Published on by Architecture Engineers

Mr. Vikas Kumar | Architectural Design | Editorial Board Member

PhD Student | Indian Institute of Technology Kharagpur | India

Vikas Kumar is a researcher and emerging scholar in architecture and urban planning, currently serving as a doctoral candidate at IIT Kharagpur with expertise spanning sustainable design, resource-constrained architecture, urban systems, and spatial analysis. He has contributed academically as a teaching assistant in design studios, graphic communication, computer graphics, and building construction, and has gained professional experience through architectural and urban planning internships with industry organizations. His research focuses on sustainable architectural strategies, Jugaad-based innovations, solid waste management, and affordable housing materials, reflected in publications on bamboo panel performance, evaporative cooling technologies, Jugaad theory and application, and urban environmental management. He has also contributed to applied research projects, including housing design interventions aimed at enhancing children’s cognitive development. His academic achievements include a national-level qualifying rank in architecture and planning, multiple best-presentation awards at international conferences, and recognition for excellence in academic and co-curricular activities. In addition to his scholarly work, he has demonstrated significant leadership as captain and contingent leader in major institutional sporting championships. His combined academic contributions, professional experience, research outputs, and recognized leadership make him a distinguished candidate for award nomination. His research impact includes 1 citation across 1 document, 2 publications, and an h-index of 1.

Profiles: Scopus | ORCID

Featured Publications

1. Kumar V., Mukerji A., Exploring Jugaad in architecture: Theory and strategies for implementation in resource-constrained environments. Social Sciences & Humanities Open, 2025.

2. Kumar V., Mukerji A., Triggers, Mediators, and Consequences of Jugaad in Architecture Among Lower Socio-economic Groups. In: 2025.

3. Kumar V., Methodology for Proposing and Planning Solid Waste Management in a Religious City: Case of Varanasi. International Journal of Innovative Science and Research Technology, 2021, ISSN: 2456-2165.

Vikas Kumar’s work advances sustainable architecture and urban planning by developing resource-efficient strategies, Jugaad-based innovations, and affordable housing solutions. His research addresses real world challenges in waste management, climate-responsive design, and socially inclusive urban systems, creating practical, scalable solutions that benefit communities, industry, and the broader built environment.