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

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

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

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

Atilla Biyikoglu | Parametric Design | Best Researcher Award

Prof. Dr. Atilla Biyikoglu | Parametric Design | Best Researcher Award

Instructor at Gazi University, Turkey.

Dr. Atilla Biyikoglu is a distinguished academic and researcher in the field of mechanical engineering, specializing in energy systems, fuel cells, and thermal sciences. His scholarly journey reflects a commitment to advancing sustainable technologies, with a research portfolio that spans fuel cell models, thermal modeling, refrigeration systems, nanofluids, and energy efficiency in buildings. Over the years, he has published extensively in internationally recognized journals such as the International Journal of Hydrogen Energy and Optics & Laser Technology. Dr. Biyikoglu has also contributed to the practical applications of renewable energy, fuel cell technologies, and energy-efficient designs, shaping both theoretical and applied aspects of the field. His work is characterized by a balance between scientific rigor and industrial relevance, demonstrating his capacity to link research with real-world challenges. Through impactful publications, collaborative projects, and innovative ideas, he has become a recognized figure in sustainable engineering solutions.

Professional Profile

ORCID | Google Scholar

Education 

Dr. Atilla Biyikoglu pursued his higher education with a strong focus on mechanical engineering and energy systems, laying the foundation for his career in advanced research and innovation. His academic training provided him with a comprehensive understanding of thermodynamics, energy conversion, and applied mechanics, enabling him to transition seamlessly into specialized areas such as hydrogen energy, fuel cells, and renewable energy technologies. With a deep interest in sustainable engineering solutions, his educational background combined rigorous technical knowledge with multidisciplinary approaches, which later guided his research in energy-efficient building systems, clean energy integration, and advanced modeling techniques. Throughout his studies, Dr. Biyikoglu was actively involved in academic projects that emphasized problem-solving and innovation, skills that continue to define his research career today. His education not only shaped his expertise in mechanical and energy engineering but also instilled in him a vision of bridging science with real-world technological applications.

Experience 

Dr. Atilla Biyikoglu has built a strong academic and research career marked by significant contributions to mechanical engineering and energy sciences. His professional journey includes extensive teaching, research supervision, and leadership in collaborative projects. He has contributed to the development of advanced fuel cell technologies, renewable energy systems, and energy-efficient building solutions, often working at the intersection of academia and industry. His experiences extend to publishing high-impact journal articles, presenting at international conferences, and engaging with multidisciplinary teams to address global energy challenges. In addition, Dr. Biyikoglu has demonstrated expertise in simulation, modeling, and optimization of thermal and energy systems, enhancing their performance and sustainability. His collaborative spirit has led to co-authored works with national and international researchers, broadening the scope and impact of his studies. Over the years, he has also been recognized with awards for scientific publication, further underlining the value of his contributions to the academic and engineering community.

Research Focus 

Dr. Atilla Biyikoglu’s research focuses on sustainable energy systems, fuel cell technologies, thermal modeling, and energy efficiency in engineering applications. His work covers a wide range of areas, including proton exchange membrane fuel cell models, syngas production through coal gasification, advanced thermal modeling for selective laser melting processes, and optimization of organic Rankine cycle turbines. A key aspect of his research is improving the efficiency and sustainability of energy conversion systems, integrating nanofluids into refrigeration, and developing solutions for heat removal in complex systems. In building sciences, he has investigated optimum insulation thickness using life cycle cost analysis, contributing to sustainable residential construction practices. His research strategy combines modeling, experimental studies, and multi-objective optimization to produce results with both scientific and industrial relevance. By addressing critical issues such as clean energy transition, renewable integration, and energy-efficient design, his research aligns with global sustainability goals and future-oriented energy innovations.

Awards and Honors 

Throughout his career, Dr. Atilla Biyikoglu has received several awards and recognitions for his scholarly achievements and contributions to energy systems research. His work has been acknowledged through national scientific publication awards, reflecting the impact and quality of his contributions in leading international journals. These honors underscore his consistent dedication to advancing the field of fuel cells, renewable energy, and mechanical engineering. In addition to his publication awards, he has been involved in research projects supported by funding institutions, highlighting both the academic and practical relevance of his work. His contributions have also been recognized within academic communities, where he has been invited to present his findings and engage in collaborative research initiatives. These accolades not only validate his research excellence but also affirm his leadership in bridging innovative science with engineering applications. His awards and honors collectively establish him as a leading figure in sustainable and renewable energy research.

Publication Top Notes

Title: RETRACTED: Review of proton exchange membrane fuel cell models
Authors: A. Biyikoglu
Summary: A review of proton exchange membrane fuel cell (PEMFC) models, covering theoretical and computational approaches for performance prediction. Later retracted, but an early effort to synthesize PEMFC modeling knowledge.

Title: Development of thermal model for the determination of SLM process parameters
Authors: K. Ökten, A. Biyikoglu
Summary: Proposed a thermal model for optimizing parameters in Selective Laser Melting (SLM), improving heat transfer understanding and material quality in additive manufacturing.

Title: Design and multi-objective optimization of organic Rankine turbine
Authors: M. Erbaş, A. Biyikoglu
Summary: Designed and optimized an organic Rankine cycle turbine, focusing on efficiency and sustainability in power generation.

Title: Determination of optimum insulation thickness by life cycle cost analysis for residential buildings in Turkey
Authors: N. Aydin, A. Biyikoglu
Summary: Identified optimal insulation thickness using life cycle cost analysis to improve energy efficiency in residential buildings.

Title: A parametric study on coal gasification for the production of syngas
Authors: A. Gungor, M. Ozbayoglu, C. Kasnakoglu, A. Biyikoglu, B.Z. Uysal
Summary: Analyzed parameters affecting coal gasification efficiency and syngas composition for cleaner fuel production.

Title: Production of anhydrous borax from borax pentahydrate
Authors: A. Biicoglu, E. Jackson
Summary: Investigated production of anhydrous borax from borax pentahydrate, focusing on process efficiency and product quality.

Title: Enhancing the performance of a vapour compression refrigerator system using R134a with a CuO/CeO2 nano-refrigerant
Authors: H.E. Mohamed, U. Camdali, A. Biyikoglu, M. Aktas
Summary: Improved refrigeration system efficiency by using R134a with CuO/CeO2 nanoparticles as a nano-refrigerant.

Title: Heat removal improvement in an enclosure with electronic components for air conditioning devices
Authors: M.Z. Yilmazoglu, O. Gokalp, A. Biyikoglu
Summary: Proposed enhanced thermal management techniques for better heat removal in electronic enclosures of air conditioning devices.

Title: Historical development, working principles and current status of fuel cells
Authors: A. Biyikoglu
Summary: Reviewed the evolution, principles, and current advancements in fuel cell technology.

Title: Determination of heat transfer coefficient between heated floor and space using ANSI/ASHRAE standard 138 test chamber
Authors: M.F. Evren, A. Ozsunar, A. Biyikoglu, B. Kilkis
Summary: Evaluated heat transfer coefficients in heated floor systems using ASHRAE standard test chamber methodology.

Conclusion

Dr. Atilla Biyikoglu’s research record demonstrates depth, diversity, and sustained contribution to energy systems and mechanical engineering. His publications, projects, and leadership roles establish him as a strong candidate for the Best Researcher Award. With continued emphasis on international visibility, industry collaboration, and interdisciplinary expansion, his profile has the potential to achieve even greater global impact in advancing sustainable energy technologies.

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