Khuplianlam Tungnung | Energy Sustainability | Best Research Article Award

Global Scientist Day Awards

Khuplianlam Tungnung
School of Planning and Architecture Vijayawada
Khuplianlam Tungnung
Affiliation School of Planning and Architecture Vijayawada
Country India
Scopus ID 57211003892
Documents 9
Citations 34
h-index 4
Subject Area Energy Sustainability
Event Global Scientist Day Awards
ORCID 0000-0002-2140-5897

The Global Scientist Day Awards recognize researchers whose scholarly activities contribute to scientific advancement, interdisciplinary collaboration, and sustainable development. Khuplianlam Tungnung, affiliated with the School of Planning and Architecture Vijayawada, has developed an academic profile focused on Energy Sustainability through peer-reviewed publications and scholarly engagement. Bibliometric indicators, including publication output, citation impact, and author identifiers, provide measurable evidence of academic activity and research visibility within the international scholarly community.[1][2]

Abstract

Khuplianlam Tungnung has established an academic record in Energy Sustainability with research disseminated through indexed scholarly publications. The available bibliometric indicators demonstrate steady scholarly productivity supported by citations and international indexing.These characteristics align with the scholarly evaluation principles commonly applied in academic recognition programs.[1][2]

Keywords

Energy Sustainability, Sustainable Development, Urban Planning, Environmental Planning, Renewable Energy, Green Infrastructure, Climate Resilience, Research Impact, Scientific Publications, Global Scientist Day Awards.

Introduction

Energy sustainability has become a central research priority owing to global concerns regarding climate change, efficient resource utilization, and environmentally responsible development. Academic contributions within this field frequently integrate engineering, architecture, planning, environmental science, and policy research to develop practical and evidence-based solutions.[4]

Research Profile

Khuplianlam Tungnung is affiliated with the School of Planning and Architecture Vijayawada, India.These metrics indicate measurable academic engagement and provide quantitative indicators commonly used for evaluating scholarly influence across international databases.[1][2]

Publications

The available indexed publication record reflects continued participation in peer-reviewed scholarly communication. Research outputs contribute to the literature concerning sustainable planning and energy-related studies. Publications indexed by international databases improve accessibility, discoverability, and long-term scholarly visibility.[1]

Research Impact

Citation metrics, publication indexing, and researcher identifiers collectively indicate academic visibility and measurable research influence. Although bibliometric indicators represent only one dimension of scholarly assessment, they provide useful evidence regarding dissemination and recognition within the scientific community. [1][2]

Award Suitability

Based on the available scholarly information, Khuplianlam Tungnung demonstrates characteristics generally associated with academic recognition, including indexed publications, measurable citation performance, interdisciplinary engagement, and sustained contributions to Energy Sustainability research.[5]

Conclusion

Khuplianlam Tungnung has established a documented academic profile supported by internationally recognized researcher identifiers, peer-reviewed publications, citation records, and sustained contributions to Energy Sustainability. The available scholarly evidence reflects continued participation in research activities relevant to sustainable development and scientific advancement.[1][5]

References

  1. Elsevier (2026.). Scopus author details: Khuplianlam Tungnung, Author ID 57211003892. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57211003892
  2. Google Scholar (2026.). Author Profile: Khuplianlam Tungnung.
    https://scholar.google.co.in/citations?user=UmQ9q3UAAAAJ
  3. ORCID (2026.). ORCID Record: 0000-0002-2140-5897.
    https://orcid.org/0000-0002-2140-5897
  4. Parametric passive design strategy towards sustainable net-zero energy buildings in hot-dry climate zones of India.
    https://www.sciencedirect.com/science/article/abs/pii/S0038092X25002786
  5. Global Scientist Day Awards (2026.). Official Award Website.
    https://scientistday.org/

Khaled Ben Abdallah | Energy Sustainability | Research Excellence Award

Prof. Dr. Khaled Ben Abdallah | Energy Sustainability | Research Excellence Award

Khaled Ben Abdallah is a Maître Assistant in transport and logistics sciences at the Institut Supérieur du Transport et de la Logistique, University of Sousse, Tunisia. His expertise focuses on transport economics, sustainability, and advanced econometric modeling. He holds a doctorate in economics and has extensive teaching experience across undergraduate and postgraduate levels. His research covers sustainable transport, green logistics, and policy-oriented analysis, with numerous publications in high-impact journals. His scientific impact includes 258 citations across 241 documents, 16 indexed publications, and an h-index of 7. He actively supervises research, contributes to academic development, and collaborates internationally.

Citation Metrics (Scopus)

400
300
200
100
0

Citations
258

Documents
16

h-index
7

Citations

Documents

h-index


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Featured Publications

Mr. Wenzhuang Liu | Energy Sustainability | Best Researcher Award | 2573

Mr. Wenzhuang Liu | Energy Sustainability | Best Researcher Award

Mr. Wenzhuang Liu | North China University of Science and Technology | China

This researcher has built a strong academic foundation in energy systems and renewable energy integration, focusing on innovative methods to enhance the flexibility, efficiency, and sustainability of modern power grids. With advanced studies in engineering thermophysics and hands-on experience in multiple research projects, the researcher has developed a deep understanding of thermodynamics, energy storage systems, and the challenges associated with large-scale renewable energy integration under contemporary carbon-neutrality goals. A key contribution is the development of an optimized configuration regulation method for energy storage systems (ESS) designed to address peak-shaving pressures arising from the widespread adoption of renewable energy. This method integrates deep peak shaving of thermal power units with coordinated demand-side response strategies, forming a comprehensive source-load-storage interaction model. By accounting for uncertainties in renewable generation and dynamic load variations, the framework enhances system responsiveness and operational flexibility. Simulation studies conducted across multiple scheduling scenarios demonstrate substantial improvements, including reductions in overall operation cost, unit operating cost, and renewable energy input cost. The findings highlight the method’s potential to significantly boost renewable energy utilization while maintaining economic and operational stability in power systems. Beyond this flagship innovation, the researcher has contributed to ongoing projects related to optimizing energy storage configurations for enhanced peak regulation. Their scholarly output includes publications in reputable journals and active engagement in funded research initiatives supported by scientific foundations and industrial laboratories. The researcher has also patented a novel ESS configuration approach centered on deep peak shaving and source-load-storage coordination. Overall, the researcher’s work advances both theoretical and application-oriented dimensions of renewable energy integration. Their contributions support more resilient, responsive, and economically viable power systems, making a meaningful impact on the transition toward low-carbon energy futures and reinforcing their suitability for recognition under research excellence awards.

Profiles: ScopusOrcid 

Featured Publications

Liu, J., Zhang, Z., Xie, Q., & Liu, W. (2024). Dual-phase model: Estimating the temperature and hydrodynamic size of magnetic nanoparticles with protein-corona formation. Applied Physics Letters. https://doi.org/10.1063/5.0199403

Li, L., Yi, W., Cui, X., & Liu, W. (2023). Rapid and high sensitivity temperature measurement based on near-extinction photoelastic modulated magneto-optical Kerr effect of Fe-Gd nanofilm. IEEE Transactions on Instrumentation and Measurement. https://doi.org/10.1109/TIM.2023.3323049

Liu, J., Huang, P., Zhang, Z., Xie, Q., & Liu, W. (2023). The nonlinear dynamics of magnetic nanoparticles: A thermometry in complex magnetic fields. Applied Physics Letters. https://doi.org/10.1063/5.0151058

Cui, X., Li, L., & Liu, W. (2022). A rapid and sensitive magnetic immunoassay of biomolecules based on magnetic nanoparticles. IEEE Transactions on Instrumentation and Measurement. https://doi.org/10.1109/TIM.2022.3216405

Guo, S., Yi, W., & Liu, W. (2022). Biological thermometer based on the temperature sensitivity of magnetic nanoparticle paraSHIFT. Nanotechnology. https://doi.org/10.1088/1361-6528/ac3b81

Peng, H., Cheng, C., Wan, Q., Jia, S., Wang, S., Lv, J., Liang, D., Liu, W., Liu, X., Zheng, H., et al. (2022). Fast multi-parametric imaging in abdomen by B1+ corrected dual-flip angle sequence with interleaved echo acquisition. Magnetic Resonance in Medicine. https://doi.org/10.1002/mrm.29127