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/

Yucen Yuan | New energy | Research Excellence Award

Mr. Yucen Yuan | New energy | Research Excellence Award

Lanzhou Jiaotong University | China

Mr. Yucen Yuan is an early-career researcher affiliated with Lanzhou Jiaotong University, China, with a focused research profile in intelligent fault diagnosis and data-driven condition monitoring of renewable energy systems. His work lies at the intersection of machine learning, optimization algorithms, and mechanical fault detection, with particular emphasis on wind turbine bearing health assessment. Yuan has authored 2 peer-reviewed publications, accumulating 1 citation to date and 1 h-index, reflecting emerging scholarly visibility. His 2025 article in Engineering Research Express introduces an improved dung beetle optimizer–enhanced LSTM framework, demonstrating methodological innovation in time-series fault diagnosis. This contribution highlights his expertise in deep learning optimization, signal analysis, and industrial predictive maintenance. Yuan has engaged in collaborative research, contributing as part of a small co-author network, and his work supports the reliability and sustainability of wind energy infrastructure. The societal impact of his research aligns with global clean energy goals by advancing intelligent monitoring technologies that reduce equipment failure, maintenance costs, and operational risks in renewable power systems.

Citation Metrics (Scopus)

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