Sunil Kumar Khare | Green Technology | Outstanding Scientist Award

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

Zehra Gulten Yalcın | Renewable Energy | Best Researcher Award

Best Researcher Award

Zehra Gulten Yalcın — Çankırı Karatekin University, Turkey

Zehra Gulten Yalcın
Affiliation Çankırı Karatekin University
Country Turkey
Scopus ID 6603311969
Documents 8
Citations 60
h-index 5
Subject Area Renewable Energy
Event Technology Scientists Awards
ORCID 0000-0001-5460-289X

Zehra Gülten Yalçın is a researcher affiliated with Çankırı Karatekin University whose scholarly work addresses sustainable engineering, renewable-energy-related processes, industrial waste valorization, corrosion inhibition, polymer composites, and anaerobic digestion. Her recent publications demonstrate an interdisciplinary approach combining experimental investigation, materials characterization, optimization, and data-driven analysis in applied engineering research. [1] [2] [3]

Abstract

Zehra Gülten Yalçın is an engineering researcher at Çankırı Karatekin University whose recent scholarly activities connect sustainable materials, waste utilization, corrosion control, anaerobic digestion, and renewable-energy-oriented engineering. Her publications examine industrial waste in polymer composites, environmentally compatible corrosion inhibition, and optimization of biogas production using experimental and response-surface methodologies. These studies demonstrate an applied research orientation focused on converting industrial and biological waste streams into useful engineering outcomes while improving process performance and sustainability. Her work also incorporates characterization, optimization, and analytical methods to investigate material behavior and energy-related processes. [1] [2] [3]

Keywords

  • Renewable Energy
  • Sustainable Engineering
  • Industrial Waste Valorization
  • Polymer Composites
  • Corrosion Inhibition
  • Anaerobic Digestion
  • Biogas Production
  • Process Optimization

Introduction

Zehra Gülten Yalçın’s research is situated within sustainable chemical and environmental engineering, with particular relevance to waste utilization and energy-related processes. Her recent studies investigate polymer composites containing industrial waste, natural corrosion inhibitors, and anaerobic digestion systems, reflecting practical approaches to resource efficiency, materials performance, and renewable-energy development. [1] [2] [3]

Research Profile

Yalçın’s research profile combines materials engineering, environmental processes, and sustainable energy applications. Her publications indicate experience with experimental methods, material characterization, process optimization, and quantitative analysis. The research addresses practical engineering problems involving industrial waste, corrosion protection, polymeric materials, and biological waste conversion, providing an interdisciplinary foundation for continued work in renewable and sustainable technologies. [1] [2] [3]

Research Contributions

Her contributions include investigation of industrial waste as functional fillers in polyurethane composites, evaluation of Turkish coffee extract as an environmentally oriented corrosion inhibitor, and optimization of anaerobic digestion for biogas generation. Together, these studies connect resource recovery, materials performance, environmental protection, and renewable-energy production through experimentally grounded engineering approaches and quantitative process analysis. [1] [2] [3]

Publications

Yalçın’s recent publication record includes studies spanning sustainable polymer composites, corrosion science, and anaerobic digestion. A 2026 article examined industrial waste incorporation into polyurethane composites and associated mechanical and thermal properties, while a 2025 study investigated Turkish coffee extract for corrosion inhibition. Another 2025 publication examined biogas optimization using response surface methodology. [1] [2] [3]

Research Impact

The practical orientation of Yalçın’s research provides potential value for sustainable manufacturing, environmental protection, and renewable-energy development. Her studies address waste-derived materials, greener corrosion-control strategies, and biological waste conversion into biogas. These themes align with broader efforts to improve resource efficiency and develop engineering solutions that reduce environmental burdens while supporting useful material and energy recovery. [1] [2] [3]

Award Suitability

Yalçın’s documented research activity is relevant to recognition in sustainable and renewable-energy-oriented research because her work integrates waste valorization, environmental engineering, materials development, and biogas production. Her publication portfolio demonstrates a coherent interest in practical sustainability challenges, supported by experimental investigation and analytical methods. These characteristics provide a reasonable academic basis for consideration for the Best Researcher Award. [1] [2] [3]

Conclusion

Zehra Gülten Yalçın’s recent scholarship demonstrates interdisciplinary engagement with sustainable engineering problems involving materials, waste, corrosion, and renewable-energy processes. Her research combines experimental studies with optimization and analytical approaches, contributing to applied knowledge in environmentally relevant engineering fields. The breadth and practical orientation of these publications support continued development within sustainable technology research. [1] [2] [3]

References

  1. Dağ, M., Aydoğmuş, E., Yalçın, Z. G., & Arslanoğlu, H. (2026). Valorization of industrial waste in polymer composites: Enhancing mechanical and thermal properties for insulation applications using machine learning analysis. Polymer Engineering & Science, 66(1), 470–486.
    https://doi.org/10.1002/pen.70230
  2. Hussein, M. Y., Yalçın, Z. G., Yaqoob, G. B., & Dağ, M. (2025). Investigation of the corrosion-inhibition effect of Turkish coffee extract on L-80 carbon steel in 15% HCl: Thermodynamic and surface analyses. Petroleum Science and Technology, 43(25), 3757–3795.
    https://doi.org/10.1080/10916466.2025.2536474
  3. Günay, K., & Yalçın, Z. G. (2025). Maximizing biogas yield in anaerobic digestion: A response surface methodology approach. Black Sea Journal of Engineering and Science, 8(4), 1103–1110.
    https://doi.org/10.34248/bsengineering.1683991
  4. Elsevier. (n.d.). Scopus author details: Zehra Gülten Yalçın, Author ID 6603311969. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=6603311969
  5. ORCID. (n.d.). Zehra Gülten Yalçın: ORCID record 0000-0001-5460-289X. ORCID.
    https://orcid.org/0000-0001-5460-289X

Chengyu Liang | Renewable Energy | Innovative Research Award

Innovative Research Award

Chengyu Liang
Lanzhou University of Technology, China
               Chengyu Liang
Affiliation Lanzhou University of Technology
Country China
Scopus ID 57469530600
Documents 3
Citations 22
h-index 2
Subject Area Renewable Energy
Event Technology Scientists Awards

Chengyu Liang is a researcher affiliated with Lanzhou University of Technology whose scholarly work focuses on renewable energy technologies and intelligent condition assessment of engineering systems. The available Scopus profile indicates a growing publication record with measurable citation impact, reflecting sustained academic contributions to reliability analysis, predictive maintenance, and energy-related engineering research.[1]

Abstract

Chengyu Liang has contributed to engineering research involving renewable energy applications, machinery health monitoring, degradation assessment, and intelligent predictive models. Current scholarly records demonstrate emerging influence through peer-reviewed publications indexed in Scopus and measurable citation performance. Research activities emphasize adaptive state-space modelling, prediction error correction, and reliability evaluation for mechanical systems supporting sustainable engineering development. These studies combine mathematical modelling with practical engineering applications to improve equipment performance, operational efficiency, maintenance planning, and long-term system reliability. The available publication record reflects continuing academic development and meaningful contributions within renewable energy and engineering research communities.[1][2]

Keywords

Renewable Energy, Mechanical Systems, Performance Degradation, State-Space Model, Predictive Maintenance, Reliability Engineering, Adaptive Modeling, Engineering Diagnostics.

Introduction

Chengyu Liang conducts engineering research centered on renewable energy and intelligent mechanical system analysis. Published studies investigate advanced degradation assessment methodologies using adaptive mathematical models that improve equipment reliability, operational efficiency, and predictive maintenance while supporting sustainable engineering practices and modern industrial applications.[2]

Research Profile

According to publicly available Scopus records, Chengyu Liang has authored three indexed publications that have received twenty-two citations with an h-index of two. The research portfolio reflects specialization in engineering diagnostics, renewable energy technologies, reliability assessment, and predictive analytical modelling.[1]

Research Contributions

Research contributions include developing adaptive state-space approaches for evaluating mechanical performance degradation using prediction error correction techniques. These methods enhance condition monitoring accuracy, facilitate maintenance decision-making, and improve reliability evaluation across engineering systems supporting renewable energy and industrial sustainability objectives.[2]

Publications

The publication record includes peer-reviewed research focused on degradation assessment methodologies for mechanical systems. A representative article presents a dual adaptive drift coefficient state-space model integrated with autocorrelation prediction error correction, demonstrating practical applications in engineering reliability and intelligent equipment monitoring.[2]

Research Impact

Citation metrics and indexed publications indicate growing academic recognition within engineering research. The integration of predictive modelling with mechanical system assessment contributes valuable knowledge supporting efficient maintenance strategies, equipment longevity, and sustainable industrial operations in renewable energy and manufacturing environments.[1]

Award Suitability

The Innovative Research Award recognizes researchers demonstrating originality, measurable scholarly contributions, and practical engineering significance. Chengyu Liang’s research on adaptive degradation assessment and predictive maintenance aligns with these principles by advancing analytical methodologies applicable to renewable energy and engineering reliability studies.[2]

Conclusion

Chengyu Liang has established an emerging research profile through focused engineering investigations addressing renewable energy, reliability assessment, and intelligent predictive modelling. Available scholarly evidence indicates continuing academic development, making this body of work an appropriate example of innovative engineering research recognized through academic award evaluation.[1]

External Links

References

  1. Elsevier. (n.d.). Scopus author details: Chengyu Liang, Author ID 57469530600. Scopus.
    https://www.scopus.com/pages/authors/57469530600
  2. Liang, C., et al. (2025). Performance degradation assessment of mechanical system based on dual adaptive drift coefficient state-space model with autocorrelation prediction error correction. Mechanical Systems and Signal Processing. Elsevier.
    https://www.sciencedirect.com/science/article/abs/pii/S0888327025015055
  3. Technology Scientists Awards. (n.d.). Technology Scientists Awards official website.
    https://technologyscientists.com/

Dawei Qu | Renewable Energy Technology | Best Researcher Award

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/

Da-Zhen Xu | Green Technology | Best Researcher Award

Dr. Da-Zhen Xu | Green Technology | Best Researcher Award

Senior Chemical Engineer | Nankai University | China

Dr. Dazhen Xu is a distinguished researcher at Nankai University, Tianjin, China, specializing in organic synthesis, catalysis, and radical-mediated transformations. With 47 peer-reviewed publications and over 1,231 citations, Dr. Xu has established a notable presence in the field of synthetic and organometallic chemistry. His work primarily focuses on developing innovative, sustainable, and atom-economical methodologies for the construction of complex organic molecules, particularly through metal-catalyzed and metal-free multicomponent reactions. Recent studies highlight his group’s advancements in iron- and copper-mediated transformations, including Markovnikov-selective radical hydrothiolation of alkenes, oxidative arylation and hydroxylation of indolin-2-ones, and bromocyclization of olefinic amides, which contribute significantly to green chemistry and pharmaceutical synthesis. Dr. Xu’s research integrates mechanistic insight with practical synthetic utility, leading to scalable, cost-effective protocols that minimize environmental impact. His collaborations with over 70 co-authors reflect a strong interdisciplinary approach, bridging academic research and industrial application across catalysis, materials, and medicinal chemistry. With an h-index of 23, Dr. Xu’s publications have gained international recognition for their methodological innovation and relevance to sustainable chemical processes. His contributions not only advance the frontiers of organic chemistry but also align with global goals for environmentally benign synthesis, influencing future directions in both academic research and industrial innovation.

Profiles: Scopus | ORCID

Featured Publications 

1. Wang, Y.-N., Jia, H., Yao, L., Chen, Y., Liu, H.-L., Liang, F., … Xu, D.-Z. (2025). Bifunctional iron-mediated multicomponent Markovnikov-selective radical hydrothiolation of alkenes. Organic Chemistry Frontiers, 12, 4462-4468.

2. Li, T.-Y., Xu, L.-L., Wu, D.-Q., Liu, J.-J., Yang, Y., Miao, Z., … Xu, D.-Z. (2025). Copper-Catalyzed Oxidative Arylation and Hydroxylation of Indolin-2-ones for Direct Construction of Tetrasubstituted Carbon Centers. Journal of Organic Chemistry, 90(2), 960-970.
Cited by: 1

3. Xu, L.-L., Wang, S., Sun, J., Zhang, R., Tong, J., … Xu, D.-Z. (2024). Facile access to S-aryl/alkyl dithiocarbamates via a three-component reaction under metal-free conditions. Organic & Biomolecular Chemistry, 22, 7702.
Cited by: 1

4. Zhao, T.-T., Bian, Q., Zhao, Y.-W., Xu, L.-L., Xu, D.-Z., & Zhao, W.-G. (2024). Iron-Mediated Bromocyclization of Olefinic Amides for the Synthesis of Bromobenzoxazines. Synthesis, 56, 2993-3000.
Cited by: 3

Dr. Dazhen Xu’s pioneering research in sustainable catalysis and radical chemistry is transforming the way complex molecules are synthesized, promoting greener and more efficient chemical manufacturing. His vision is to integrate eco-conscious innovation with high-impact synthetic strategies, advancing both scientific knowledge and the global transition toward sustainable chemical industries.