Mostafa Belal | Green Technology | Innovative Research Award

Published on by Technology Scientists

Innovative Research Award

Mostafa Belal — Sohag University, Egypt

Mostafa Belal
Affiliation Sohag University
Country Egypt
Scopus ID 57994645800
Documents 4
Citations 95
h-index 3
Subject Area Green Technology
Event Technology Scientists Awards
ORCID 0009-0007-4235-2273

Mostafa Belal is affiliated with Sohag University, Egypt, with research activity in green technology and materials protection. His documented publications address corrosion-resistant polybenzoxazine coatings, surface activation of wood-plastic composites, and protective formulations for mild steel. These works connect materials engineering with durability and environmental considerations in applied research applications. [1][2][3]

Abstract

Mostafa Belal, affiliated with Sohag University in Egypt, conducts research within green technology with emphasis on protective materials and surface engineering. His documented studies examine polybenzoxazine coating precursors, corrosion-resistant formulations, wood-plastic composite surface activation, epoxy adhesion, and protective performance for mild steel. The research combines material synthesis, characterization, surface modification, and corrosion mitigation. These themes indicate an applied approach to developing functional coating systems and improving material durability. The publication record provides a basis for recognizing contributions to materials protection and sustainable engineering applications. This profile summarizes documented themes, publications, impact, and suitability for innovative recognition. [1][2][3] This profile is presented here.

Keywords

Green technology; polybenzoxazine; corrosion protection; protective coatings; surface engineering; wood-plastic composites; epoxy adhesion; mild steel; corrosion inhibition; polymeric materials; material characterization; surface modification; functional coatings; sustainable materials; materials protection. [1][2][3]

Introduction

Mostafa Belal is affiliated with Sohag University, Egypt, with research activity in green technology and materials protection. His documented publications address corrosion-resistant polybenzoxazine coatings, surface activation of wood-plastic composites, and protective formulations for mild steel. These works connect materials engineering with durability and environmental considerations in applied research applications. [1][2][3]

Research Profile

Belal’s research profile centers on materials and surface engineering within green technology. His publications indicate emphasis on polymeric coating systems, adhesion enhancement, corrosion inhibition, and protective performance. Collectively, these topics reflect an applied research approach focused on improving material durability through engineered surface treatments and functional precursor design research overall. [1][2][3]

Research Contributions

The reported contributions involve developing polybenzoxazine-based materials for corrosion protection, designing coating precursors with enhanced performance, and activating wood-plastic composite surfaces to improve epoxy adhesion. The studies also examine protective efficiency toward mild steel, connecting material synthesis, surface modification, coating performance, and corrosion mitigation in applied materials research settings today. [1][2][3]

Publications

Belal’s publications address aspects of material protection research. One study reports a novel polybenzoxazine coating precursor designed through monomer engineering for anti-corrosion performance. Another investigates surface activation of wood-plastic composites for improved epoxy adhesion, while a third examines synthesis, characterization, and protective efficiency of a polybenzoxazine precursor for mild steel. [1][2][3]

Research Impact

The research has clear practical relevance to durable coating systems, corrosion management, and improved adhesion of protective layers on engineered materials. By addressing material protection and surface functionality, the studies contribute knowledge applicable to extending service life and improving coating performance. Their significance is demonstrated through documented research topics overall. [1][2][3]

Award Suitability

The documented research aligns with an Innovative Research Award focused on materials and green technology because it combines material synthesis, surface modification, characterization, and corrosion protection. The publications demonstrate a coherent research direction and practical orientation. Award consideration can be based on originality, technical scope, and relevance of the work. [1][2][3]

Conclusion

Mostafa Belal’s documented work presents a focused research direction in green technology, particularly protective coatings, surface treatment, adhesion, and corrosion inhibition. The cited studies provide evidence of investigation into functional materials and their applications. Together, they establish a research profile connecting material innovation with practical challenges in durability and protection. [1][2][3]

References

  1. Aly, K. I., Amer, A. A., Mahross, M. H., Belal, M. R., Soliman, A. M. M., & Mohamed, M. G. (2023). Construction of novel polybenzoxazine coating precursor exhibiting excellent anti-corrosion performance through monomer design. Heliyon, 9(5), e15976.
    https://doi.org/10.1016/j.heliyon.2023.e15976
  2. Belal, M. R., Naguib, H. M., El-Ghazawy, R. A., Shaker, N. O., Amer, A. A., Soliman, A. M. M., & Kandil, U. F. (2019). Surface activation of wood plastic composites (WPC) for enhanced adhesion with epoxy coating. Materials Performance and Characterization, 8(1), 22–40.
    https://doi.org/10.1520/MPC20180034
  3. Soliman, A. M. M., Aly, K. I., Mohamed, M. G., Amer, A. A., Belal, M. R., & others. (2023). Synthesis, characterization and protective efficiency of novel polybenzoxazine precursor as an anticorrosive coating for mild steel. Scientific Reports, 13, 5581.
    https://doi.org/10.1038/s41598-023-30364-x
  4. Elsevier. (n.d.). Scopus author details: Mostafa Belal, Author ID 57994645800. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57994645800

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

Wentao Shang | Green Technology | Best Researcher Award

Published on by Technology Scientists

Best Researcher Award

Wentao Shang
Affiliation Jinan University
Country China
Scopus ID 57604364900
Documents 34
Citations 812
h-index 15
Subject Area Green Technology
Event Technology Scientists Awards
ORCID 0000-0002-5168-7696

Wentao Shang is affiliated with Jinan University, China, and works across membrane science, separation technologies, computational prediction, imaging, and advanced materials. His recent scholarly record includes research on membrane distillation, nanofiltration fouling prediction, and supramolecular materials, providing a multidisciplinary basis for consideration within the field of green technology. [1] [2] [3]

Abstract

Wentao Shang is a researcher at Jinan University whose documented work connects membrane science, green technology, computational modeling, imaging, and advanced materials. His recent publications examine surface patterning for membrane distillation, multimodal convolutional neural networks for dynamic nanofiltration fouling prediction, and solution-sheared supramolecular oligomers with improved thermal-resistant adhesion. These studies demonstrate an interdisciplinary approach combining materials engineering, separation processes, experimental characterization, and data-driven analysis. With 34 documented publications, 812 citations, and an h-index of 15, his profile indicates sustained scholarly activity and measurable research visibility. The breadth and environmental relevance of these themes support consideration for a Best Researcher Award.

Keywords

Keywords: Green Technology, Membrane Distillation, Nanofiltration, Membrane Fouling, Optical Coherence Tomography, Convolutional Neural Networks, Surface Patterning, Advanced Materials, Supramolecular Oligomers, Sustainable Engineering.

Introduction

Wentao Shang’s research profile at Jinan University reflects an interdisciplinary focus connecting membrane processes, nanofiltration, imaging-based analysis, advanced materials, and sustainable engineering. His recent publications address membrane distillation, fouling prediction, and thermally resistant supramolecular materials, indicating a research trajectory relevant to emerging green technology and resource-efficient engineering. [1] [2] [3]

Research Profile

Shang is associated with research spanning membrane science, separation technologies, computational prediction, and functional materials. His publication record includes studies using surface patterning to improve membrane distillation and multimodal convolutional neural networks to model nanofiltration fouling. These themes connect experimental characterization, materials engineering, and data-driven methods for environmental applications. [1] [2]

Research Contributions

Shang’s contributions can be viewed through three complementary areas: engineering membrane surfaces for improved separation performance, applying in-situ optical coherence tomography and multimodal neural networks to characterize fouling dynamics, and investigating supramolecular materials with enhanced thermal and adhesive properties. Together, these studies demonstrate integration of experimental methods, computational analysis, and materials design. [1] [2] [3]

Publications

The documented publications associated with Shang include a 2026 review of surface patterning in membrane distillation, a 2026 Desalination article on multimodal convolutional neural networks for nanofiltration fouling prediction, and a Nature Communications study on solution-sheared supramolecular oligomers. The works collectively cover membrane engineering, machine learning, imaging, adhesion, and advanced materials. [1] [2] [3]

Research Impact

The research has potential relevance to green technology through improved membrane efficiency, fouling management, and durable functional materials. Surface-engineered membranes may support cleaner separation processes, while predictive imaging models can improve understanding of fouling development. Work on thermally resistant adhesives further broadens the profile toward resource-conscious and performance-oriented materials engineering. [1] [2] [3]

Award Suitability

The Best Researcher Award profile is supported by a combination of publication activity, citation indicators, interdisciplinary research themes, and alignment with green technology. The reported record of 34 documents, 812 citations, and an h-index of 15 provides quantitative evidence of scholarly visibility, while recent publications demonstrate continuing research activity. [1] [2] [3]

Conclusion

Wentao Shang presents a research profile combining membrane technology, computational modeling, imaging, and advanced materials. His recent work addresses practical challenges in separation efficiency, fouling prediction, and material durability. The combination of documented scholarly output and green-technology relevance provides a reasonable academic basis for consideration under the Best Researcher Award. [1] [2] [3]

References

  1. Zhang, C., Lin, Y., Lu, G., Yuan, B., Chen, P., Farid, M. U., Lee, V. P. H., Shang, W., Li, W., & An, A. K. (2026). Surface patterning in membrane distillation: Fabrication, mechanism, and performance enhancement. Separation and Purification Technology, 394(Part 3), Article 137561.
    https://www.sciencedirect.com/science/article/abs/pii/S1383586626008270
  2. Shang, W., Zeng, Y., Xiao, F., Wu, M., Wang, Y., Yang, Z., He, J., & Sun, F. (2026). A multimodal convolutional neural network trained by in-situ OCT characterization for dynamic structural prediction of nanofiltration fouling. Desalination, 639, Article 120676.
    https://www.sciencedirect.com/science/article/pii/S0011916426008325
  3. Lu, G., Ma, R., Zhao, Y., Wang, D., Shang, W., Chen, H., Khan, S. A., Li, M., & Saiz, E. (2025). Solution-sheared supramolecular oligomers with enhanced thermal resistance in interfacial adhesion and bulk cohesion. Nature Communications, 16, 7754.
    https://www.nature.com/articles/s41467-025-63123-9
  4. Elsevier. (n.d.). Scopus author details: Wentao Shang, Author ID 57604364900. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57604364900
  5. ORCID. (n.d.). Wentao Shang, ORCID 0000-0002-5168-7696. ORCID.
    https://orcid.org/0000-0002-5168-7696

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

Dawei Qu | Renewable Energy Technology | Best Researcher Award

Published on by Technology Scientists

Best Researcher Award

                     Dawei Qu
Affiliation Jilin University
Country China
Scopus ID 58462131900
Documents 1
Subject Area Renewable Energy Technology
Event Technology Scientists Awards

Dawei Qu is affiliated with Jilin University, China, and has contributed to the academic field of Renewable Energy Technology. His scholarly activities demonstrate an interest in technology-enhanced education and emerging scientific applications. His research record is indexed in Scopus, providing an accessible academic profile for researchers, institutions, and evaluators seeking verified publication information.[1]

Abstract

Dawei Qu is a researcher associated with Jilin University whose academic work is connected with Renewable Energy Technology and technology-supported educational research. His documented publication explores virtual reality education through bibliometric analysis using Web of Science literature, offering perspectives on research development, emerging themes, and future opportunities. Although his currently indexed publication record is limited, the available research demonstrates analytical methodology and interdisciplinary relevance that aligns with technological innovation, educational advancement, and evidence-based scientific evaluation within international academic communities.[2]

Keywords

Renewable Energy Technology; Virtual Reality; VR Education; Web of Science; Bibliometric Analysis; Educational Technology; Scientific Research; Technology Scientists Awards.

Introduction

Renewable Energy Technology increasingly benefits from interdisciplinary research integrating digital innovation, analytics, and educational methodologies. Dawei Qu contributes to this broader technological landscape through scholarly investigation of virtual reality education, highlighting research trends, knowledge development, and future directions supported by systematic literature analysis and internationally indexed academic resources.[2]

Research Profile

The research profile of Dawei Qu reflects participation in scholarly studies examining technology-enhanced education and scientific knowledge evaluation. His Scopus-indexed publication demonstrates experience with bibliometric methodologies, emphasizing evidence-based assessment of emerging research fields while supporting academic understanding of virtual reality applications within educational environments.[1]

Research Contributions

Dawei Qu’s documented contribution centers on analyzing international literature related to virtual reality education between 2007 and 2017. The research identifies publication patterns, thematic evolution, and research opportunities, providing useful academic insights for educators, researchers, and technology developers interested in innovation-driven educational transformation.[2]

Publications

The currently indexed publication associated with Dawei Qu is titled Problems and Inspirations on the Study of VR Education Research in Western Countries Based on the Literature Analysis of Web of Science (2007–2017). The study evaluates research development using bibliometric evidence and contributes to understanding technological progress within educational research.[2]

Research Impact

Although the presently available publication record is limited, the documented work supports knowledge synthesis and evidence-based evaluation of virtual reality education. Such analyses assist researchers in identifying influential trends, research gaps, and future opportunities while encouraging interdisciplinary collaboration across technology and educational sciences.[1]

Award Suitability

Dawei Qu’s scholarly work demonstrates analytical research methodology, interdisciplinary relevance, and commitment to technology-oriented academic investigation. These characteristics correspond with the objectives of the Technology Scientists Awards, which recognize scientific excellence, technological advancement, research integrity, and meaningful contributions to emerging areas of innovation.[1]

Conclusion

Dawei Qu represents an emerging academic contributor whose documented research provides valuable perspectives on virtual reality education and technology-driven scientific analysis. His work supports continued interdisciplinary exploration, offering foundations for future investigations while reflecting the principles of responsible research, innovation, and academic collaboration recognized by international scientific communities.[2]

References

  1. Elsevier. (n.d.). Scopus author details: Dawei Qu, Author ID 58462131900. Scopus.
    https://www.scopus.com/pages/authors/58462131900
  2. Qu, D. (2019). Problems and Inspirations on the Study of VR Education Research in Western Countries Based on the Literature Analysis of Web of Science (2007–2017). ResearchGate.
    https://www.researchgate.net/publication/330388851_Problems_and_Inspirations_on_the_Study_of_VR_Education_Research_in_Western_Countries_Based_on_the_Literature_Analysis_of_Web_of_Science2007-2017DOI: https://doi.org/