Sunil Kumar Khare | Green Technology | Outstanding Scientist Award

Published on by Technology Scientists

Outstanding Scientist Award

Sunil Kumar Khare
University of Petroleum and Energy Studies, India

Sunil Kumar Khare
Affiliation University of Petroleum and Energy Studies
Country India
Scopus ID 26324209600
Documents 18
Citations 214
h-index 7
Subject Area Green Technology
Event Technology Scientists Awards
ORCID 0000-0001-5041-3012

Sunil Kumar Khare is a researcher affiliated with the University of Petroleum and Energy Studies in India whose scholarly profile encompasses green technology and data-driven engineering research. His documented work includes applications of analytics, regression modelling, pipeline network optimization, and geochemical interpretation, demonstrating an interdisciplinary orientation toward technology-enabled scientific problem solving. [1] [2] [3]

Abstract

Sunil Kumar Khare is a researcher at the University of Petroleum and Energy Studies, India, working within the broad domain of Green Technology. His scholarly record includes research involving data analytics, regression modelling, engineering optimization, and geochemical analysis. His publications demonstrate applications of computational methods to energy and geological problems, including geothermal drilling, pipeline configuration, and igneous-province characterization. These studies illustrate an interdisciplinary research profile connecting analytical techniques with practical engineering and environmental contexts. His documented scholarly output and citation record provide evidence of sustained research engagement and academic visibility. [1] [2] [3]

Keywords

Green Technology; Data Analytics; Regression Modelling; Geothermal Wells; Drilling Engineering; Pipeline Network Optimization; Sensitivity Analysis; Geochemistry; Petrogenetics; Igneous Provinces; Energy Technology; Engineering Analytics.

Introduction

Green Technology increasingly depends on analytical methods capable of improving resource efficiency, engineering decisions, and environmental understanding. Khare’s research reflects this interdisciplinary direction through studies applying data analytics to geothermal drilling, optimization to pipeline networks, and analytical methods to geological characterization, connecting computational approaches with energy and Earth-science applications. [1] [2] [3]

Research Profile

Khare’s research profile combines engineering analytics, optimization, and geoscientific investigation. His documented publications address prediction of drilling performance, multi-product pipeline configuration, and data-supported interpretation of geochemical and petrogenetic characteristics. Together, these themes indicate a research orientation toward quantitative methods that support complex energy, infrastructure, and geological systems across applied scientific contexts. [1] [2] [3]

Research Contributions

The documented research contributes analytical perspectives to energy and geological engineering problems. Regression modelling is applied to geothermal drilling-rate prediction, optimization frameworks examine pipeline configuration and objective-function sensitivity, while data analytics supports geochemical and petrogenetic interpretation. These contributions demonstrate the practical use of quantitative approaches for complex, multidisciplinary technological investigations. [1] [2] [3]

Publications

Khare’s documented publications cover three complementary areas: predictive analytics for geothermal drilling, optimization of multi-product pipeline networks, and data analytics for geochemical and petrogenetic investigation. These works illustrate the application of quantitative and computational techniques to engineering and Earth-science questions, with relevance to energy systems and technology-oriented research. [1] [2] [3]

Research Impact

The research demonstrates potential practical relevance across geothermal energy, pipeline infrastructure, and geological interpretation. Predictive modelling can support drilling analysis, optimization can inform network configuration decisions, and geochemical analytics can strengthen interpretation of complex geological datasets. The combined portfolio reflects technology-oriented research addressing diverse analytical challenges within energy-related domains. [1] [2] [3]

Award Suitability

Khare’s documented research aligns with the broad objectives of scientific recognition in technology-oriented disciplines. His work combines analytical modelling, engineering optimization, and geoscientific data analysis, while addressing energy and infrastructure applications. The breadth of these themes provides a reasonable basis for consideration under an Outstanding Scientist Award focused on applied technological research. [1] [2] [3]

Conclusion

Sunil Kumar Khare presents a multidisciplinary research profile spanning green technology, energy engineering, optimization, predictive analytics, and geoscience. His documented publications demonstrate the application of quantitative approaches to practical scientific problems. The combination of engineering and Earth-science research provides a substantive foundation for consideration for technology-focused scientific recognition. [1] [2] [3]

References

  1. Khare, S. K., et al. (2025). Data analytics and regression modelling for drilling rate of penetration prediction of geothermal wells. In Advances in Energy and Environmental Engineering. Springer.
    https://doi.org/10.1007/978-981-96-3667-9_11
  2. Khare, S. K., et al. (2024). Optimizing multi-product pipeline network configuration design: A comprehensive framework with objective function sensitivity analysis. Scopus. Publication record: 85184306294.
    https://www.scopus.com/pages/publications/85184306294
  3. Khare, S. K., et al. (2024). Data analytics for geochemical and petrogenetic study of an igneous province: A case study on Andean andesite, South America. Journal of Earth System Science.
    https://doi.org/10.1007/s12040-024-02399-9
  4. Elsevier. (n.d.). Scopus author details: Sunil Kumar Khare, Author ID 26324209600. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=26324209600
  5. ORCID. (n.d.). Sunil Kumar Khare: ORCID record. ORCID.
    https://orcid.org/0000-0001-5041-3012

Tingting Liu | Green Technology | Women Researcher Award

Published on by Technology Scientists

Women Researcher Award

Tingting Liu
Guangzhou College of Technology and Business, China

                  Tingting Liu
Affiliation Guangzhou College of Technology and Business
Country China
Scopus ID 56809735100
Documents 17
Citations 290
h-index 9
Subject Area Green Technology
Event Technology Scientists Awards

The Women Researcher Award recognizes the scholarly achievements of Tingting Liu for contributions to Green Technology research. The profile highlights academic productivity, research influence, and publication activities based on publicly available scholarly sources. This article summarizes research interests, selected publications, academic impact, and the relevance of the research portfolio within the context of the Technology Scientists Awards.[1]

Abstract

Tingting Liu is an academic researcher affiliated with Guangzhou College of Technology and Business whose scholarly work primarily contributes to Green Technology, sustainable materials, adsorption science, environmental engineering, and interdisciplinary technological innovation. Her publication record demonstrates continued engagement with environmentally responsible technologies, adsorption equilibrium prediction, zeolite-based purification, and biomedical research collaborations. According to available Scopus metrics, her research has received notable scholarly recognition through citations and a strong h-index. These achievements reflect consistent scientific productivity, interdisciplinary collaboration, and meaningful contributions supporting sustainable industrial development and emerging environmental technologies within the international research community.[1]

Keywords

Green Technology, Sustainable Engineering, Adsorption Science, Environmental Engineering, Zeolites, Hydrogen Sulfide Removal, Taxifolin, Industrial Processes, Materials Science, Research Excellence.

Introduction

Green Technology promotes environmentally responsible scientific solutions that improve industrial efficiency while reducing ecological impacts. Tingting Liu’s research reflects these objectives through studies involving adsorption processes, sustainable material applications, and interdisciplinary environmental innovations. Her academic work contributes valuable scientific knowledge supporting cleaner technologies and sustainable engineering practices.[1]

Research Profile

Tingting Liu has developed an academic profile characterized by research in adsorption science, environmental purification, green materials, and process optimization. Her Scopus publication record demonstrates sustained scholarly productivity with interdisciplinary collaborations, reflecting continuous engagement in research addressing industrial sustainability, environmental protection, and innovative engineering solutions across multiple scientific domains.[2]

Research Contributions

Her research contributions include adsorption equilibrium prediction, zeolite discovery for hydrogen sulfide removal, and collaborative biomedical investigations involving inflammatory cytokines. These studies integrate computational methods, laboratory experimentation, and engineering analysis to improve environmental remediation technologies while supporting broader scientific understanding across sustainable engineering and interdisciplinary research fields.[2][3]

Publications

Representative publications include investigations on adsorption equilibrium prediction for taxifolin isolation, multi-scale zeolite discovery for hydrogen sulfide removal, and research examining interleukin family cytokines in Alzheimer’s disease. These publications demonstrate interdisciplinary scholarship combining environmental engineering, materials science, chemical technology, and biomedical research.[1][2][3]

Research Impact

With seventeen indexed publications, two hundred ninety citations, and an h-index of nine, Tingting Liu’s research demonstrates measurable academic influence. Her work has contributed to scientific discussions concerning sustainable technologies, adsorption processes, advanced materials, and environmentally conscious engineering approaches adopted within international scholarly research communities.[1]

Award Suitability

The Women Researcher Award appropriately recognizes researchers demonstrating sustained scholarly excellence, publication quality, and meaningful scientific influence. Tingting Liu’s interdisciplinary achievements in Green Technology, supported by recognized publications and citation performance, align with the objectives of honoring impactful research contributing to scientific advancement and sustainable innovation.[1]

Conclusion

Tingting Liu’s academic accomplishments illustrate a consistent commitment to advancing Green Technology through interdisciplinary scientific research. Her publication record, citation performance, and contributions to sustainable engineering and environmental sciences support recognition within the Technology Scientists Awards while encouraging continued innovation addressing contemporary technological and environmental challenges.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Tingting Liu, Author ID 56809735100. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=56809735100
  2. Liu, T., et al. (2012). Prediction strategy of adsorption equilibrium time based on equilibrium and kinetic results to isolate taxifolin. Industrial & Engineering Chemistry Research, 51(1), 454–462.
    https://pubs.acs.org/iecred/article-abstract/51/1/454/952633/Prediction-Strategy-of-Adsorption-Equilibrium-Time
  3. Liu, T., et al. (2016). A multi-scale approach for the discovery of zeolites for hydrogen sulfide removal. Computers & Chemical Engineering.
    https://www.sciencedirect.com/science/article/abs/pii/S009813541630076X
  4. Liu, T., et al. (2024). The Crosstalk Between Protective and Detrimental Interleukin (IL)-1 Family of Cytokines in Alzheimer’s Disease. Journal of Biochemical and Molecular Toxicology.
    https://onlinelibrary.wiley.com/doi/abs/10.1002/jbt.70460

Efaf Zahra Mahdizadeh Gohari | Sustainable Tech | Women Researcher Award

Published on by Technology Scientists

Women Researcher Award

   Efaf Zahra Mahdizadeh Gohari
Affiliation Queensland University of Technology
Country Australia
Google Scholar ID aKFQBnUAAAAJ
Documents 4
Citations 48
h-index 1
Subject Area Sustainable Tech
Event Technology Scientists Awards
ORCID 0009-0007-3005-499X

Efaf Zahra Mahdizadeh Gohari is affiliated with Queensland University of Technology, Australia, where her research focuses on sustainable technologies, computational fluid dynamics, thermal engineering, and process optimization. Her published work investigates static mixer performance, desalination systems, and multiphase flow modelling, contributing to engineering solutions that improve energy efficiency and sustainable industrial processes.[1]

Abstract

Efaf Zahra Mahdizadeh Gohari conducts engineering research centred on sustainable technology, computational fluid dynamics, fluid mixing, and desalination processes. Her publications investigate innovative static mixer configurations, thermodynamic performance, and numerical simulation techniques that improve industrial efficiency and resource utilization. Through analytical modelling and computational evaluation, her studies contribute practical knowledge for energy-efficient process engineering while supporting environmentally responsible technological development. Her scholarly profile reflects emerging research activity with measurable citation impact and growing recognition within sustainable engineering and thermal systems research.[1][2][3]

Keywords

Sustainable Technology, Computational Fluid Dynamics, CFD, Static Mixers, Fluid Mixing, Multiphase Flow, Desalination, Thermodynamics, Heat Transfer, Numerical Modelling, Engineering Simulation, Process Optimization, Renewable Engineering, Industrial Sustainability, Thermal Systems.

Introduction

The research of Efaf Zahra Mahdizadeh Gohari emphasizes sustainable engineering through computational modelling and process optimization. Her investigations explore advanced mixing technologies, thermal systems, and efficient desalination methods, supporting industrial innovation by combining numerical analysis with engineering design principles for improved operational performance and environmental sustainability.[1][2]

Research Profile

Affiliated with Queensland University of Technology, her academic profile includes four documented publications, forty-eight citations, and an h-index of one. Her work integrates computational fluid dynamics, thermodynamic assessment, and sustainable process engineering to evaluate industrial technologies using quantitative engineering methodologies and scientific validation.[1][3]

Research Contributions

Her research contributes to understanding fluid mixing efficiency, hybrid static mixer development, and humidification–dehumidification desalination systems. Numerical simulations and thermodynamic analyses provide engineering evidence that assists optimization of industrial equipment, promoting enhanced energy utilization, process reliability, and environmentally sustainable engineering applications.[1][2][3]

Publications

Published studies examine numerical modelling of static mixers, comparative analyses of conventional and innovative designs, thermodynamic evaluation of desalination systems, and computational investigation of turbulent flow behaviour. Collectively, these publications demonstrate interdisciplinary expertise spanning fluid mechanics, sustainable technology, and computational engineering research.[1][2][3]

Research Impact

Citation indicators demonstrate increasing scholarly recognition of her engineering research. Her publications support ongoing investigations into sustainable industrial systems by providing computational evidence and analytical methodologies useful for researchers, engineers, and practitioners developing advanced thermal and process engineering technologies.[1][3]

Award Suitability

Her documented research activities, measurable publication record, and contributions to sustainable engineering align with the objectives of the Technology Scientists Awards. The combination of computational innovation, interdisciplinary engineering applications, and commitment to environmentally responsible technologies supports consideration for the Women Researcher Award.[1][2]

Conclusion

Efaf Zahra Mahdizadeh Gohari has developed an emerging academic profile focused on sustainable technology, computational engineering, and process optimization. Her research demonstrates scientific rigor through numerical modelling and engineering analysis, contributing valuable knowledge to fluid dynamics, desalination, and industrial sustainability while supporting future advances in engineering research.[1][2][3]

References

  1. Mahdizadeh Gohari, E. Z., et al. (2024). Numerical Modelling and Comparative Analysis of Novel and Traditional Static Mixers for Single and Multiphase Fluid Mixing. Queensland University of Technology ePrints.
    https://eprints.qut.edu.au/255833/
  2. Mahdizadeh Gohari, E. Z., et al. (2023). Thermodynamic Analysis of Humidification-Dehumidification Desalination System with Semi-open Air Circulation. Modares Mechanical Engineering Journal.
    https://mej.aut.ac.ir/article_730_en.html?lang=fa
  3. Mahdizadeh Gohari, E. Z., et al. (2026). Performance Evaluation of Turbulent Flow Mixing Using Novel Hybrid Static Mixer: A CFD Study. Journal of Engineering Science and Technology.
    https://www.sciencedirect.com/science/article/pii/S0255270126002448?ssrnid=6409368&dgcid=SSRN_redirect_SD
  4. Google Scholar. (n.d.). Author profile: Efaf Zahra Mahdizadeh Gohari.
    https://scholar.google.com/citations?user=aKFQBnUAAAAJ&hl=en
  5. ORCID. (n.d.). ORCID record: Efaf Zahra Mahdizadeh Gohari.
    https://orcid.org/0009-0007-3005-499X