Jinxiao Wei | Energy-Efficient Architecture | Innovative Research Award

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Innovative Research Award

Jinxiao Wei
Affiliation Hefei University of Technology
Country China
Scopus ID 57222348037
Documents 35
Citations 323
h-index 9
Subject Area Power conversion and condition monitoring
Event Architecture Engineers Awards
ORCID 0000-0002-5957-1209

Jinxiao Wei,

Hefei University of Technology

Jinxiao Wei is a researcher affiliated with Hefei University of Technology whose scholarly activities focus on power conversion technologies and condition monitoring. His publication record, citation performance, and international research visibility demonstrate continuous contributions to electrical engineering research and support recognition through the Innovative Research Award.[1][2]

Abstract

This article summarizes the academic profile of Jinxiao Wei, highlighting research activities in power conversion and condition monitoring. Available bibliometric indicators, scholarly publications, and recognized research outputs demonstrate sustained contributions to engineering research while supporting consideration for the Innovative Research Award within an international academic recognition framework.[1][2]

Keywords

Power Conversion, Condition Monitoring, Electrical Engineering, Power Electronics, Smart Grid, Fault Diagnosis, Industrial Automation, Energy Systems, Engineering Research, Innovative Research Award.[2]

Introduction

Jinxiao Wei conducts engineering research emphasizing efficient power conversion and advanced condition monitoring technologies. These fields contribute to improved operational reliability, energy utilization, and equipment diagnostics across industrial applications. His published studies support ongoing developments in modern electrical engineering and intelligent monitoring systems.[1][3]

Research Profile

Affiliated with Hefei University of Technology, Jinxiao Wei has produced thirty-five indexed publications with more than three hundred citations and an h-index of nine. His research profile reflects consistent scholarly productivity, international visibility, and specialization in electrical engineering and monitoring technologies.[1][2]

Research Contributions

His investigations address practical challenges involving power electronic conversion, equipment health assessment, and diagnostic methodologies. Research outcomes contribute to enhanced system performance, operational efficiency, predictive maintenance strategies, and technological improvements supporting sustainable electrical infrastructure and reliable industrial energy applications.[2][3]

Publications

Jinxiao Wei has authored peer-reviewed journal articles indexed by Scopus that explore power electronics, monitoring technologies, and engineering optimization. These publications demonstrate continuous academic engagement while providing technical knowledge supporting researchers, practitioners, and future investigations across interdisciplinary engineering disciplines.[1][4]

Research Impact

Citation metrics and publication visibility indicate that his research has been referenced by the broader scientific community. These measurable indicators suggest scholarly influence while reflecting the relevance of his investigations to engineering innovation, industrial reliability, and contemporary power conversion research.[1][2]

Award Suitability

Considering his documented publication record, citation performance, institutional affiliation, and specialized engineering expertise, Jinxiao Wei demonstrates qualifications aligned with the objectives of the Innovative Research Award. His academic achievements reflect sustained research productivity and meaningful contributions to engineering scholarship.[1]

Conclusion

Jinxiao Wei maintains an active academic profile through research, publications, and measurable scholarly impact. His work in power conversion and condition monitoring contributes to engineering knowledge while supporting continued innovation. Available academic evidence indicates a research career deserving professional recognition within international award programs.[1][2]

External Links

References

  1. Elsevier. (n.d.). Scopus author details: Jinxiao Wei, Author ID 57222348037. Scopus.
    https://www.scopus.com/pages/authors/57222348037
  2. ORCID. (n.d.). Jinxiao Wei ORCID Record.
    https://orcid.org/0000-0002-5957-1209
  3. Google Scholar. (n.d.). Jinxiao Wei Citation Profile.
    https://scholar.google.com/citations?user=W7OtST8AAAAJ&hl=en&oi=ao
  4. Architecture Engineers Awards. (n.d.). Innovative Research Award.
    https://architectureengineers.com/

Abouzar Gholamalizadeh | Climate-Responsive Architecture | Research Excellence Award

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Dr. Abouzar Gholamalizadeh | Climate-Responsive Architecture | Research Excellence Award

Researcher | University of Tehran | Iran

Abouzar Gholamalizadeh is a researcher and academic affiliated with the Management College of the University of Tehran, specializing in industrial management, operations research, and decision sciences. He has gained extensive professional experience through academic research, interdisciplinary projects, and contributions to analytical and decision-support frameworks in energy and public-sector management. His research focuses on mechanism design, energy management, quantitative decision-making methods, spatial multi-criteria analysis, and sustainable urban systems, with peer-reviewed publications in leading international journals such as Sustainable Cities and Society and Transformations in Business and Economics. His scholarly work advances urban sustainability, photovoltaic system planning, thermal comfort assessment, and risk-aware procurement mechanisms.He also serves as a reviewer for internationally recognized journals, including Energy Conversion and Management and Kybernetes, reflecting his standing in the academic community and commitment to research quality and scholarly service, with a research impact comprising 11 citations, 3 publications, and an h-index of 1.

                              Citation Metrics (Scopus)

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  View Google Scholar Profile
  View ORCID Profile

Featured Publications

Pankaj Kumar Dubey | Sustainable Architecture | Young Scientist Award

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Mr. Pankaj Kumar Dubey | Sustainable Architecture | Young Scientist Award

Kamla Nehru Institute of Technology | India

Pankaj Kumar Dubey is a Teaching Assistant and Research Fellow in the Department of Electrical Engineering at Kamla Nehru Institute of Technology, specializing in distributed generation, electric vehicles, renewable energy systems, and intelligent power system optimization. He has served as lecturer, lab in-charge, and an active contributor to institutional accreditation committees, alongside prior industry experience as an Electrical Engineer. His professional work spans coordinated control strategies for distributed generations with electric vehicles, smart grid scheduling, microgrid optimization, and AI-based simulation studies, supported by extensive publications in SCI and Scopus-indexed journals, international conferences, book chapters, authored textbooks,multiple granted and published patents across India and abroad. He has earned numerous national and international honors recognizing his academic excellence and research contributions, and he serves as a reviewer for major journals including IEEE Transactions on Intelligent Transportation Systems while holding memberships in several global research and professional organizations. His research impact includes 147 citations, 11 publications, and an h-index of 5.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

1. Dubey P.K., Singh B., Singh D., Singh M.K., Blockchain for Health Care: A Review. In: Blockchain Technology for Healthcare Application, Nova Science Publishers, Accepted.

2. Singh B., Dubey P.K., Distributed power generation planning for distribution networks using electric vehicles: Systematic attention to challenges and opportunities. J. Energy Storage, 2022, 48, 104030.

3. Yadav S., Sudman M.S.I., Dubey P.K., Srinivas R.V., Srisainath R., Devi V.C., Development of a GA-RBF based Model for Penetration of Electric Vehicles and its Projections. Int. Conf. Self Sustainable Artificial Intelligence Systems, 2023, 42.

4. Singh B., Dubey P.K., Singh S.N., Recent optimization techniques for coordinated control of electric vehicles in super smart power grids network: A state of the art. IEEE UPCON, 2022, 32.

5. Dubey P.K., Singh B., Kumar V., Singh D., A novel approach for comparative analysis of distributed generations and electric vehicles in distribution systems. Electr. Eng., 2024, 106(3), 2371–2390.

By developing optimized control strategies for distributed energy resources and electric vehicles, he strengthens the foundation of future smart grids and sustainable power systems. His research drives scientific progress and supports industry and society in transitioning toward cleaner, smarter, and more reliable energy technologies.

Madhiarasan Manoharan | Energy-Efficient Architecture | Best Researcher Award

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Dr. Madhiarasan Manoharan | Energy-Efficient Architecture | Best Researcher Award

Postdoctoral Fellow | Aarhus University | Denmark

Dr. Manoharan Madhiarasan is a Postdoctoral Fellow at the Department of Business Development and Technology, Aarhus School of Business and Social Sciences, Aarhus University, recognized for his expertise in renewable energy systems, artificial intelligence, machine learning, deep learning, forecasting, and optimization. He has previously served in research and academic roles across leading institutions, including IIT Roorkee, Transilvania University of Brașov, and the French Institute of Pondicherry, along with experience as Assistant Professor, Research and Development Coordinator, and project mentor in engineering and technology programs. His research spans solar and wind energy forecasting, photovoltaic system modelling, metaheuristic optimization, neural network design, IoT-based energy systems, and intelligent hybrid models, resulting in extensive international journal publications, book chapters, patents, and conference contributions. He has led national workshops, served as convener and coordinator for faculty development programs, and delivered keynote addresses at global summits on renewable energy and intelligent systems. Dr. Madhiarasan holds several prestigious recognitions, including competitive research fellowships and a Best Researcher Award, and he is an IEEE Senior Member with memberships across numerous professional bodies. He contributes widely to the scholarly community as Associate Editor, Guest Editor, and Editorial Board Member for multiple international journals, and as a reviewer for high-impact publishers such as Springer, Elsevier, IEEE, Wiley, MDPI, and Frontiers. His record reflects sustained leadership, interdisciplinary scholarship, and significant contributions to advanced energy technologies and computational intelligence. His research impact includes 466 citations, 31 publications, and an h-index of 9.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

1. M. Madhiarasan, G. Fotis, M. Presser, M.J. Beliatis, Mountain Gazelle Optimiser-based single, double, and triple diode models associated solar cells and panels parameters extraction. Discover Sustainability, 2025, 6, 903.

2. M. Madhiarasan, S.N. Deepa, N.Y. Jayalakshmi, Hyperparameter optimization of a deep radial basis neural learning approach for wind speed forecasting. Int. J. Syst. Assur. Eng. Manag., 2025, Accepted.

3. M. Madhiarasan, Bayesian optimisation algorithm based optimised deep bidirectional long short term memory for global horizontal irradiance prediction in long-term horizon. Front. Energy Res., 2025, 13, 1499751.

4. M. Madhiarasan, S.N. Deepa, Comparative analysis on hidden neurons estimation in multilayer perceptron neural networks for wind speed forecasting. Artif. Intell. Rev., 2016, 1–23.

5. M. Madhiarasan, M. Louzazni, Analysis of artificial neural network: architecture, types, and forecasting applications. J. Electr. Comput. Eng., 2022, 5416722.

Dr. Madhiarasan’s work advances intelligent renewable energy systems by integrating AI-driven forecasting, optimization, and smart energy technologies that enhance the reliability and efficiency of global power infrastructures. His research supports sustainable energy transitions, strengthens industry innovation, and provides data-driven solutions for emerging challenges in solar and wind energy applications. He envisions a future where intelligent computational models power cleaner, smarter, and more resilient energy ecosystems worldwide.