Mauro Manca | Energy-Efficient Architecture | Best Researcher Award

Published on by Architecture Engineers

Best Researcher Award

 Mauro Manca,
Universitat Internacional de Catalunya

Mauro Manca
Affiliation Universitat Internacional de Catalunya
Country Spain
Scopus ID 57193870762
Documents 7
Citations 90
h-index 3
Subject Area Circular Economy
Event Architecture Engineers Awards

Mauro Manca is associated with Universitat Internacional de Catalunya, Spain, where his research interests include circular economy, sustainability, and environmental innovation. His scholarly publications demonstrate interdisciplinary approaches that contribute to sustainable resource management and responsible engineering practices while supporting knowledge dissemination within academic and professional communities.
[1]

Abstract

This article presents an academic overview of Mauro Manca, highlighting his research activities, publication record, scholarly impact, and contributions to circular economy studies. The profile summarizes available bibliometric information and discusses the relevance of his work to sustainable engineering research and academic recognition.[1][2]

Keywords

  • Circular Economy
  • Sustainability
  • Environmental Innovation
  • Engineering Research
  • Academic Publications

Introduction

Mauro Manca conducts research emphasizing circular economy principles, sustainable construction, and environmental responsibility. His academic activities promote practical strategies for efficient resource utilization while supporting interdisciplinary collaboration between engineering and sustainability disciplines. These contributions align with emerging priorities in global environmental research. [1][3]

Research Profile

Affiliated with Universitat Internacional de Catalunya, Mauro Manca has established a research profile centered on sustainability and circular economy. His indexed publications demonstrate consistent scholarly engagement, supported by international visibility through bibliographic databases and professional research networking platforms. [1][2]

Research Contributions

His research contributes to understanding sustainable resource management, circular material flows, and environmentally responsible engineering solutions. Through collaborative investigations, he supports evidence-based approaches that encourage sustainable development while strengthening scientific knowledge applicable to architecture and engineering disciplines. [2][4]

Publications

According to Scopus records, Mauro Manca has authored seven indexed publications with measurable citation impact. These works address sustainability-related themes and demonstrate continuing participation in peer-reviewed scientific communication within environmental and engineering research communities.[1][4]

Research Impact

With ninety citations and an h-index of three, his research demonstrates recognized scholarly influence. Citation metrics indicate that published studies have contributed to ongoing academic discussions regarding sustainability, circular economy implementation, and environmentally conscious engineering practices across multiple research communities. [1][2]

Award Suitability

Based on available academic indicators, publication quality, and research focus, Mauro Manca demonstrates qualifications appropriate for consideration in the Best Researcher Award category. His work reflects scholarly commitment, interdisciplinary collaboration, and meaningful contributions supporting sustainable engineering and environmental innovation. [1]

Conclusion

Mauro Manca’s scholarly profile reflects sustained engagement in circular economy research and environmental sustainability. His publication record, citation performance, and interdisciplinary interests support continued academic development while demonstrating contributions relevant to engineering research and recognition through international academic award programs. [1]

References

  1. Elsevier. (n.d.). Scopus Author Details: Mauro Manca, Author ID 57193870762.

    https://www.scopus.com/authid/detail.uri?authorId=57193870762

  2. Google Scholar. (n.d.). Scholar Profile of Mauro Manca.

    https://scholar.google.com/citations?user=Xy2DOpQAAAAJ&hl=es

  3. European Commission. (2020). Circular Economy Action Plan.

    https://environment.ec.europa.eu/strategy/circular-economy-action-plan_en

  4. Architecture Engineers Awards. (n.d.). Official Award Website.

    https://architectureengineers.com/

Hanmo Wang | Architectural Design | Best Researcher Award

Published on by Architecture Engineers

Best Researcher Award

Hanmo Wang, National University of Singapore

Hanmo Wang
Affiliation National University of Singapore
Country Singapore
Scopus ID 58537492100
Documents 17
Citations 82
h-index 6
Subject Area AI-assisted Design
Event Architecture Engineers Awards

The Best Researcher Award recognizes notable scholarly contributions and research excellence within specialized academic disciplines. Hanmo Wang of the National University of Singapore has established a research profile in AI-assisted design, contributing to the advancement of computational methodologies, intelligent systems, and data-driven approaches relevant to architectural and engineering innovation.[1]

Abstract

This article presents an academic overview of Hanmo Wang and the research accomplishments associated with AI-assisted design. The profile highlights scholarly activities, publication performance, citation indicators, and contributions to the development of intelligent computational techniques applicable to architecture and engineering workflows. The researcher’s publication record and citation metrics indicate active engagement within the scientific community and demonstrate growing influence in emerging interdisciplinary research areas.[1]

Keywords

AI-assisted Design, Computational Design, Architectural Engineering, Intelligent Systems, Machine Learning, Digital Architecture, Research Excellence, Human-AI Collaboration, Data-Driven Design, Best Researcher Award

Introduction

Artificial intelligence is increasingly integrated into design disciplines, enabling researchers and practitioners to optimize decision-making, automate analytical processes, and generate innovative solutions. AI-assisted design has emerged as a multidisciplinary field combining computational intelligence, engineering principles, and creative methodologies. Researchers in this area contribute significantly to advancing future design practices.[2]

Research Profile

Hanmo Wang is affiliated with the National University of Singapore and has developed a research portfolio focused on AI-assisted design and related computational methodologies. According to available bibliometric indicators, the researcher has authored 17 indexed documents, accumulated 82 citations, and achieved an h-index of 6. These metrics reflect active participation in scholarly research and dissemination activities within relevant scientific domains.[1]

  • Affiliation: National University of Singapore
  • Research Area: AI-assisted Design
  • Scopus Documents: 17
  • Citations: 82
  • h-index: 6

Research Contributions

The research contributions associated with Hanmo Wang emphasize the application of artificial intelligence techniques to design-oriented challenges. Such work may include computational modeling, intelligent optimization, digital design automation, and data-informed decision support systems. These contributions align with contemporary efforts to enhance design quality, improve workflow efficiency, and facilitate interdisciplinary collaboration between architects, engineers, and computer scientists.[2]

  • Development of AI-driven design methodologies.
  • Integration of computational intelligence into design processes.
  • Advancement of digital architectural and engineering systems.
  • Support for evidence-based and data-driven design decisions.

Publications

The publication record indexed in major scholarly databases demonstrates sustained research activity. Publications associated with AI-assisted design contribute to knowledge exchange across architecture, engineering, computational science, and digital innovation. The researcher’s work forms part of the broader scientific effort to explore intelligent design systems and emerging technological applications.[1]

  1. Peer-reviewed journal articles related to AI-assisted design.
  2. Conference proceedings addressing computational design innovation.
  3. Collaborative interdisciplinary research outputs.
  4. Studies involving machine learning and intelligent design frameworks.

Research Impact

Research impact can be assessed through publication output, citation performance, interdisciplinary influence, and contributions to advancing scientific knowledge. Citation metrics indicate that the researcher’s work has received scholarly recognition and engagement. Continued growth in AI-assisted design is expected to further increase the relevance of research addressing automation, optimization, and intelligent decision-making within the built environment.[1][3]

Award Suitability

Based on available academic indicators, Hanmo Wang demonstrates characteristics associated with research recognition programs. These include a documented publication record, measurable citation impact, engagement in emerging scientific fields, and contributions to interdisciplinary innovation. Such attributes align with the objectives of academic distinction programs recognizing research excellence and achievement.[4]

Conclusion

Hanmo Wang’s academic profile reflects ongoing contributions to AI-assisted design through scholarly publications and interdisciplinary research activities. Available bibliometric indicators support recognition of the researcher’s growing influence within the field. Continued advancements in artificial intelligence and computational design are expected to further enhance the relevance and impact of such research.

References

  1. Elsevier. (n.d.). Scopus author details: Hanmo Wang, Author ID 58537492100. Scopus.https://www.scopus.com/authid/detail.uri?authorId=58537492100
  2. Eastman, C., Teicholz, P., Sacks, R., & Liston, K. (2018). BIM Handbook: A Guide to Building Information Modeling. Wiley.

    https://doi.org/10.1002/9781119287568

  3. Li, M., Wong, B. C. L., Liu, Y., Chan, C. M., Gan, V. J. L., & Cheng, J. C. P. (2021). DfMA-oriented design optimization for steel reinforcement using BIM and hybrid metaheuristic algorithms. Journal of Building Engineering, 44, 103310.

    https://www.researchgate.net/publication/354534844

  4. Architecture Engineers Awards. (n.d.). Award evaluation framework and recognition criteria.https://architectureengineers.com

Chew Beng Soh | Smart Materials in Architecture | Research Excellence Award

Published on by Architecture Engineers

Research Excellence Award

Chew Beng Soh
Siddaganga Institute Of Technology
Chew Beng Soh
Affiliation Siddaganga Institute Of Technology
Country Singapore
Scopus ID 35202127400
Documents 96
Citations 1,174
h-index 20
Subject Area UCNP-coated light-conversion films
Event Architecture Engineers Awards
ORCID 0000-0002-4587-1946

The Research Excellence Award recognizes the scholarly contributions and interdisciplinary scientific research activities of Chew Beng Soh, affiliated with Siddaganga Institute Of Technology. The researcher has contributed to investigations involving UCNP-coated light-conversion films, materials science applications, and optical engineering methodologies. Through indexed publications and citation impact, the academic profile demonstrates sustained engagement with advanced photonic and nanomaterial research initiatives.[1]

Abstract

This academic article presents a structured overview of the research activities and scholarly recognition associated with Chew Beng Soh. The researcher’s work in UCNP-coated light-conversion films and related optical material systems has contributed to advancements in photonic conversion technologies and nanostructured engineering research. Citation metrics and indexed publication output indicate sustained academic engagement within interdisciplinary scientific communities.[1] The Research Excellence Award acknowledges contributions to scientific innovation, collaborative research development, and scholarly dissemination.[2]

Keywords

UCNP-coated films; Light-conversion technologies; Optical materials; Nanotechnology; Materials science; Photonic engineering; Scientific recognition; Scopus author profile; Interdisciplinary research; Advanced materials

Introduction

Research awards and academic recognition programs are designed to acknowledge contributions that demonstrate scientific relevance, publication quality, and interdisciplinary collaboration. Within the fields of optical materials and nanotechnology, innovations involving light-conversion systems and functional coatings have become increasingly significant due to their applications in energy systems, photonics, and advanced engineering.[3]

Chew Beng Soh has contributed to research involving UCNP-coated light-conversion films and associated material engineering methodologies. The publication profile reflects continued engagement with applied materials science, optical conversion technologies, and experimental research frameworks relevant to advanced scientific applications.[4]

Research Profile

Chew Beng Soh maintains a Scopus-indexed academic profile with a substantial body of peer-reviewed publications and scholarly citations. The researcher’s work primarily focuses on UCNP-coated light-conversion films, photonic material systems, and optical engineering technologies.[1]

  • Primary specialization in UCNP-coated light-conversion film technologies
  • Scopus-indexed research publications totaling 96 documents
  • Citation performance exceeding 1,172 scholarly citations
  • Established h-index value of 20
  • Research engagement involving materials science and photonic engineering

Research Contributions

The research contributions of Chew Beng Soh are associated with the advancement of optical material technologies and nanostructured light-conversion systems. Investigations involving UCNP-coated films contribute to ongoing developments in photon management, spectral conversion efficiency, and applied material engineering.[4]

The interdisciplinary nature of this work integrates concepts from nanotechnology, photonics, and materials engineering. Such research supports broader scientific objectives related to energy efficiency, optoelectronic applications, and innovative coating technologies.[5]

  • Development of UCNP-coated light-conversion film systems
  • Research involving photonic spectral conversion mechanisms
  • Experimental studies in nanostructured optical materials
  • Contributions to applied materials engineering research
  • Interdisciplinary collaboration in advanced photonic technologies

Publications

Representative publications associated with the researcher’s profile demonstrate scholarly engagement with optical engineering, nanomaterials, and light-conversion technologies.[6]

  1. Studies related to UCNP-coated light-conversion films and spectral engineering methodologies.
  2. Research on nanostructured optical materials for advanced photonic applications.
  3. Investigations into photon conversion systems for optoelectronic technologies.
  4. Collaborative materials science research involving thin-film engineering approaches.
  5. Applied engineering analyses of advanced light-conversion mechanisms.

Research Impact

The research impact associated with Chew Beng Soh is reflected through citation metrics, interdisciplinary collaborations, and publication dissemination within scientific databases. Research involving light-conversion systems and advanced optical materials continues to support developments in materials engineering and photonic science.[1]

The integration of nanotechnology and photonic engineering within the researcher’s work contributes to broader scientific discussions regarding optical efficiency and innovative material applications. Such contributions are relevant to both academic research and industrial technological development.[5]

Award Suitability

The Research Excellence Award recognizes scholarly contributions that demonstrate research consistency, scientific relevance, publication impact, and interdisciplinary engagement. Chew Beng Soh’s publication profile and citation metrics indicate sustained contributions to optical materials science and engineering-related research.[1]

The researcher’s involvement in advanced photonic and nanomaterial investigations aligns with the objectives of international scientific recognition programs that emphasize innovation, applied research, and collaborative scientific advancement.[2]

Conclusion

Chew Beng Soh’s academic profile reflects ongoing engagement with research involving UCNP-coated light-conversion films, optical material systems, and advanced engineering methodologies. Citation performance, publication activity, and interdisciplinary research participation support the scholarly significance of the researcher’s contributions. The Research Excellence Award recognizes these contributions within the broader context of scientific innovation and international academic collaboration.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Chew Beng Soh, Author ID 35202127400. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=35202127400&source=sd-apx
  2. Architecture Engineers Research Forum. (n.d.). International academic award and research recognition program overview.

    https://architectureengineers.com

  3. Zhou, J., Liu, Q., Feng, W., Sun, Y., & Li, F. (2015). Upconversion luminescent materials: advances and applications.
    https://doi.org/10.1021/cr400478f

  4. Soh, C. B., Ang, B. T. W., Fong, Y. M., Chien, S.-C., An, H., Dessì, V., Clementi, M., Tay, C. B., D’Ostuni, M., Gianquinto, G., & Orsini, F. (2026). Smart modular vertical farms: Addressing food security and resource efficiency in Singapore’s urban environment. Horticulturae, 12(3), 271.

    https://doi.org/10.3390/horticulturae12030271

  5. Ang, B. T. W., Fong, Y. M., Soh, C. B., Chien, S.-C., An, H., & Tay, R. H. S. (2024). Passive infrared-to-visible-light upconversion using NaYF4:Yb,Er nanoparticle films for greenhouse façades. ACS Applied Nano Materials, 7, 18851–18860.

    https://doi.org/10.1021/acsanm.4c03008

Maryam Sadeghi | Smart Cities and Architecture | Best Researcher Award

Published on by Architecture Engineers

Mrs. Maryam Sadeghi | Smart Cities and Architecture | Best Researcher Award

Full-time Faculty Member at Islamic Azad University, Iran.

Maryam Sadeghi is an accomplished researcher and faculty member in Electrical Engineering, specializing in smart grids, distributed control, and intelligent energy systems. She has served as a full-time instructor at the Islamic Azad University, Islamshahr Branch, where she has also chaired the Power Engineering Department. Over the years, she has successfully combined teaching, supervision, and leadership with impactful research contributions. As a PhD candidate at the Iran University of Science and Technology, her doctoral work has advanced the field of power systems with an emphasis on adaptive and intelligent control. Beyond academia, she has actively collaborated with national research and industrial centers, particularly in areas such as SCADA applications, FPGA development, and distributed automation. Her career demonstrates a consistent focus on renewable energy integration, intelligent universal transformers, and advanced automation, positioning her as a thought leader in the evolving landscape of modern electrical engineering.

Professional Profile

Google Scholar

Education

Maryam Sadeghi’s educational background reflects a strong and progressive journey through electrical engineering disciplines. She earned her B.Sc. in Electrical Engineering with a focus on Electronics from the Islamic Azad University, Tehran Central Branch. She further specialized in Control Systems at the M.Sc. level from Islamic Azad University, Tehran South Branch, where she explored adaptive control methodologies. To expand her expertise in the energy sector, she pursued doctoral studies in Electrical Engineering with a specialization in Power Systems at the Iran University of Science and Technology. Her PhD research, with defense approved, focuses on advanced power system automation and intelligent control strategies, including adaptive neuro-fuzzy inference systems and multi-agent approaches for smart grids. Through this academic journey, she has built deep expertise in intelligent systems, renewable integration, and distributed energy automation, forming the backbone of her subsequent teaching, research, and industry collaborations in both traditional and emerging power engineering domains.

Experience 

Maryam Sadeghi has built a multifaceted career blending academia, research, and industry collaboration.  She has been a full-time faculty member at the Islamic Azad University, Islamshahr Branch, teaching undergraduate and graduate courses in power systems and control. As Head of the Power Engineering Department for four years, she led curriculum development, faculty coordination, and student mentorship. Her industry-linked research experience includes a decade as Senior Researcher at Novin Ray Control Co., where she worked on solar energy monitoring, SCADA systems, and energy management integration. She has also contributed to telecommunication research through FPGA-based SDH system design, and to control systems development in distributed automation protocols, particularly IEC 61499. These roles reflect her ability to connect theoretical knowledge with practical applications. Her experience across teaching, applied research, and leadership showcases her as a versatile expert committed to advancing both education and innovation in intelligent energy systems.

Research Focus

Maryam Sadeghi’s research is centered on intelligent power systems, with a focus on adaptive control, fuzzy logic, and distributed automation for modern grids. Her work on Intelligent Universal Transformers (IUTs) has introduced innovative control methodologies using fuzzy logic, artificial neural networks, and genetic algorithms to optimize distribution automation. She has also contributed to decentralized multi-agent coordination frameworks for smart distribution restoration, enabling resilience and flexibility in power networks. Her studies in renewable energy integration—particularly inverter-based distributed generation and wind turbine inverters—highlight her commitment to sustainable energy solutions. Additionally, she has advanced methodologies in GPS-based time synchronization and IEC 61499-based distributed control systems. By combining advanced algorithms with real-world applications such as SCADA and EMS, she bridges the gap between theory and practice. Her research trajectory demonstrates a consistent pursuit of scalable, adaptive, and intelligent solutions for next-generation power grids within the context of smart cities and sustainable development.

Awards and Honors

Maryam Sadeghi has received recognition for her academic and research contributions at both institutional and national levels. She has been nominated for the ARCH Best Researcher Award, reflecting her impactful body of work in power systems and control. Her multiple ISI-indexed publications in smart grids, intelligent automation, and renewable energy integration demonstrate her influence in advancing knowledge in her field. As a contributor to national research centers in Iran, she has played a significant role in developing and implementing control solutions aligned with national energy and telecommunication priorities. Her leadership as Head of the Power Engineering Department also underscores her recognition as an academic mentor and innovator. The combination of research excellence, teaching distinction, and industrial collaboration has positioned her as a respected figure within the engineering community. These honors highlight her dedication to advancing intelligent energy solutions and promoting the integration of innovative methodologies into modern power systems.

Publication Top Notes

Title: Time Synchronizing Signal by GPS Satellites
Authors: M. Sadeghi, M. Gholami
Summary: This paper simulates GPS-based synchronization in MATLAB to achieve high-precision timing. It highlights GPS as a reliable solution for communications and distributed automation systems.

Title: Fuzzy Logic Approach in Controlling the Grid Interactive Inverters of Wind Turbines
Authors: M. Sadeghi, M. Gholami
Summary: The study applies fuzzy logic to enhance grid-connected wind turbine inverter performance. Results show improved stability and efficiency under varying wind conditions.

Title: Advanced Control Methodology for Intelligent Universal Transformers Based on Fuzzy Logic Controllers
Authors: M. Sadeghi, M. Gholami
Summary: The authors propose fuzzy logic controllers for Intelligent Universal Transformers (IUTs). The approach improves adaptability and response in advanced distribution automation.

Title: A Novel Distribution Automation Involving Intelligent Electronic Devices as IUT
Authors: M. Sadeghi, M. Gholami
Summary: This paper presents IUTs as intelligent devices for distribution automation. It demonstrates improved grid reliability and fault management.

Title: Fully Decentralized Multi-Agent Coordination Scheme in Smart Distribution Restoration: Multilevel Consensus
Authors: M. Sadeghi, M. Kalantar
Summary: The research introduces a decentralized multi-agent consensus method for smart distribution restoration. It enhances system resilience and scalability without central control.

Title: Developing Adaptive Neuro-Fuzzy Inference System for Controlling the Intelligent Universal Transformers in ADA
Authors: M. Sadeghi, M. Gholami
Summary: An ANFIS-based controller is developed for IUTs to improve adaptability and precision. The hybrid method outperforms conventional control strategies.

Title: Genetic Algorithm Optimization Methodology for PWM Inverters of Intelligent Universal Transformer for the Advanced Distribution Automation of Future
Authors: M. Sadeghi, M. Gholami
Summary: The study uses genetic algorithms to optimize PWM inverters in IUTs. It reduces harmonic distortion and improves inverter efficiency.

Title: Optimized Control Strategy to Adjust the Intelligent Universal Transformer for Integrating Distributed Resources to Grid
Authors: M. Sadeghi, M. Gholami
Summary: This work introduces an optimized control strategy for IUTs to integrate distributed energy resources. It ensures stable and flexible grid operations.

Conclusion

Overall, Maryam Sadeghi is a strong candidate for the Best Researcher Award. Her research reflects both depth and breadth in intelligent power systems, with practical applications that align with the future of energy distribution and smart grid technologies. With her combination of academic leadership, teaching excellence, and impactful research, she demonstrates qualities that merit recognition. By expanding her international reach and enhancing visibility through broader collaborations and higher-impact publications, she can further solidify her position as a leading researcher in her domain.