Amy Cerato | Engineering | Best Researcher Award

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Best Researcher Award

Amy Cerato
University of Oklahoma

Amy Cerato
Affiliation University of Oklahoma
Country United States
Scopus ID 6508388588
Documents 74
Citations 2438
h-index 26
Subject Area Engineering
Event Top Teachers Awards
ORCID 0000-0002-5377-7767

Amy Cerato is an engineering researcher affiliated with the University of Oklahoma whose scholarly work has contributed significantly to the fields of geotechnical engineering, soil stabilization, expansive soil behavior, and infrastructure materials characterization. Through a substantial publication record, strong citation impact, and sustained research productivity, Amy Cerato has established a recognized profile in engineering research. Her investigations integrate laboratory experimentation, field applications, microstructural analysis, and advanced characterization techniques to improve understanding of soil performance and infrastructure resilience. The academic contributions of Amy Cerato demonstrate a commitment to advancing practical engineering solutions while expanding scientific knowledge in transportation and geotechnical engineering disciplines.[1]

Abstract

Amy Cerato has developed a research portfolio focused on geotechnical materials, expansive soils, stabilization technologies, and engineering applications for transportation infrastructure. The research integrates laboratory-based investigations with field-oriented methodologies, enabling the development of practical solutions for soil improvement and performance assessment. Recent studies have explored soil microstructure evolution, portable X-ray fluorescence applications, and characterization techniques for chemically treated soils, contributing to both theoretical understanding and engineering practice.[2]

Keywords

Geotechnical Engineering, Expansive Soils, Soil Stabilization, Infrastructure Engineering, X-ray Fluorescence, Environmental Scanning Electron Microscopy, Transportation Geotechnics, Materials Characterization.

Introduction

Engineering infrastructure depends heavily on the behavior and long-term performance of soils. Amy Cerato has contributed to this field through investigations that address challenges associated with expansive soils, stabilization treatments, and material characterization. By combining advanced laboratory techniques with engineering analysis, Amy Cerato has helped improve understanding of soil mechanics and infrastructure sustainability. The resulting body of work supports improved engineering decision-making and contributes to safer and more resilient civil engineering systems.[3]

Research Profile

According to available scholarly metrics, Amy Cerato has authored more than seventy indexed publications and accumulated over two thousand citations, reflecting substantial visibility within the engineering research community. With an h-index of 26, the research profile demonstrates sustained influence across multiple areas of geotechnical engineering. The work spans soil stabilization, environmental geotechnics, transportation infrastructure, and advanced analytical methods for material characterization.[1]

Research Contributions

Amy Cerato has contributed to the understanding of expansive soil behavior under varying environmental conditions and has advanced the use of modern analytical tools for soil assessment. Research examining suction hysteresis through Environmental Scanning Electron Microscopy has provided insights into microstructural evolution in expansive soils. Additional studies have focused on rapid field detection of calcium-based stabilizers using portable X-ray fluorescence technologies and quantification methods for gypsum content in soils. These investigations support more efficient and accurate approaches to geotechnical evaluation and infrastructure management.[2][4]

Publications

  • Microstructural Evolution of Expansive Soils Under Suction Hysteresis Using Environmental Scanning Electron Microscopy (ESEM), Geotechnics (2026).
  • Rapid Field Detection of Calcium-Based Stabilizers in Soils via Portable X-ray Fluorescence Spectrometry, Transportation Geotechnics (2024).
  • Comparison of Whole Rock XRF and Portable XRF for Quantifying Calcium-Based Stabilizers in Chemically Treated Soil, Transportation Infrastructure Geotechnology (2024).
  • Using Fractal Geometry Theory to Quantify Pore Structure Evolution and Particle Morphology of Stabilized Kaolinite, Journal of Materials in Civil Engineering (2024).

Research Impact

The research impact of Amy Cerato is reflected through extensive citation activity and the continued relevance of published studies within geotechnical engineering. The adoption of analytical methodologies involving portable XRF technologies and microstructural characterization techniques has enhanced engineering assessment capabilities. These contributions support infrastructure planning, construction quality assurance, and sustainable management of soil resources across diverse engineering applications.[5]

Award Suitability

Amy Cerato demonstrates several characteristics associated with recognition through the Best Researcher Award. These include a strong publication record, measurable citation impact, interdisciplinary engineering contributions, and continued advancement of practical research applications. The combination of scientific rigor and engineering relevance illustrates a sustained commitment to research excellence and knowledge dissemination within the global academic community.[1]

Conclusion

Amy Cerato has established a distinguished academic profile through contributions to geotechnical engineering, soil stabilization research, and infrastructure-related investigations. The combination of influential publications, substantial citation performance, and innovative methodologies highlights the significance of the research portfolio. Through continued scholarly activity and practical engineering applications, Amy Cerato remains an important contributor to the advancement of engineering science and professional practice.[6]

References

  1. Elsevier. (n.d.). Scopus author details: Amy Cerato, Author ID 6508388588. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=6508388588
  2. Cerato, A. et al. (2026). Microstructural Evolution of Expansive Soils Under Suction Hysteresis Using Environmental Scanning Electron Microscopy (ESEM). Geotechnics.
    DOI: https://doi.org/10.3390/geotechnics6020056
  3. Cerato, A. et al. (2024). Rapid Field Detection of Calcium-Based Stabilizers in Soils via Portable X-ray Fluorescence Spectrometry. Transportation Geotechnics.
    DOI: https://doi.org/10.1016/j.trgeo.2024.101446
  4. Cerato, A. et al. (2024). Comparison of Whole Rock XRF and Portable XRF for Quantifying Calcium-Based Stabilizers in Chemically Treated Soil. Transportation Infrastructure Geotechnology.
    DOI: https://doi.org/10.1007/s40515-024-00409-3
  5. Cerato, A. et al. (2024). Using Fractal Geometry Theory to Quantify Pore Structure Evolution and Particle Morphology of Stabilized Kaolinite. Journal of Materials in Civil Engineering.
    DOI: https://doi.org/10.1061/JMCEE7.MTENG-17391
  6. Cerato, A. et al. (2024). Quantification of Gypsum in Soils via Portable X-ray Fluorescence Spectrometry. Geotechnical Testing Journal.
    DOI: https://doi.org/10.1520/GTJ20230480

Enes Kavrut | Engineering | Research Excellence Award

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Mr. Enes Kavrut | Engineering | Research Excellence Award

Iğdır University | Turkey

Dr. Enes Kavrut is an Assistant Professor at Iğdır University, specializing in food engineering, gastronomy, and innovative food technologies. He holds a PhD in Bioengineering and a doctorate in Veterinary Public Health and Food Safety, reflecting a strong interdisciplinary foundation. His research focuses on edible film packaging, food safety, antimicrobial applications, and sustainable bio-packaging solutions. Dr. Kavrut has authored over 10 international peer-reviewed journal articles, including publications in high-impact journals such as Food Chemistry and LWT, along with multiple book chapters and conference papers. He actively collaborates with international researchers on topics like hydrogen-enriched food systems and agri-food innovations. His work contributes significantly to improving food quality, safety, and shelf-life, supporting sustainable food systems and public health advancement.

Citation Metrics (Scopus)

40
30
20
10

Citations 30

h-index 3

Documents 7

Citations

h-index

Documents

Featured Publications

Y Çelebi, E Kavrut, M Bulut, Y Çetintaş, A Tekin, AA Hayaloğlu (2024).
Incorporation of hydrogen-producing magnesium into minced beef meat protects the quality attributes and safety of the product during cold storage. Food Chemistry | Journal Article · 2024 · 📊 Citations: 17

D Alwazeer, M Bulut, MM Ceylan, Y Çelebi, E Kavrut, Y Çetintaş, A Tekin (2024).
Hydrogen incorporation into butter improves its microbial and chemical stability, biogenic amine safety, quality attributes, and shelf-life
LWT – Food Science and Technology | Journal Article · 2024 · đź“Š Citations: 9

T Engin, A Çiğdem, E Kavrut, B Tan, D Alwazeer, K Bekbayev (2025).
Use of hydrogen-rich solvent and principal component analysis improves the recovery of phytochemicals from grape wastes
Journal of Agriculture and Food Research | Journal Article · 2025 · 📊 Citations: 5

E Kavrut (2023).
Iğdır Halk Mutfak Kültüründe Yer Alan Lezzetlerin Değerlendirilmesi
Gastro-World | Journal Article · 2023 · 📊 Citations: 5

E Kavrut (2021).
Kıyma ve Kıyma Benzeri ĂśrĂĽnlerde ‘Hamburger Hastalığı’ olarak E. coli O157:H7’nin varlığı
Bayburt Üniversitesi Fen Bilimleri Dergisi | Journal Article · 2021 · 📊 Citations: 5

Qiusong Liang | Engineering | Best Researcher Award

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Ms. Qiusong Liang | Engineering | Best Researcher Award

Northeast Forestry University | China

Ms. Qiusong Liang is a promising mechanical engineering researcher whose work focuses on advanced simulation, optimization, and design of electro-hydraulic and electromechanical systems. Her research emphasizes multi-objective optimization, structural dynamics, and fluid–structure interaction analysis to enhance the performance and reliability of servo and direct-drive valve mechanisms. She skillfully integrates computational tools such as ANSYS, SolidWorks, Maxwell, and AMESim for high-precision modeling and simulation, contributing significantly to innovations in flow control mechanisms, torque motor optimization, and cavitation noise reduction in hydraulic systems. Her recent studies explore the dynamic characteristics of torque motors and the coupling effects between electromagnetic and fluid systems, leading to improved high-response servo valve technologies for industrial and military applications. Ms. Liang’s research excellence and innovative approach have been recognized through publications in internationally indexed journals and notable contributions to engineering design projects. She maintains an active research profile with Scopus- and Google Scholar–indexed publications, accumulating documented citations and a growing h-index that reflect her rising academic influence in the field of mechanical system optimization and applied simulation engineering. Her commitment to applied research, precision design, and interdisciplinary collaboration has earned her recognition as a recipient of the Best Researcher Award, highlighting her as one of the emerging leaders in smart mechanical systems and sustainable automation technologies.

Publication Profile

Orcid

Featured Publications

  • Zhang, J., Liang, Q., Sun, J., Yan, B., Hu, Z., & Sun, W. (2025, October 29). Multi-objective optimization of torque motor structural parameters in direct-drive valves based on genetic algorithm. Actuators, 14(11), 527.

Mehran Pourgholi | Engineering | Best Researcher Award

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Assist. Prof. Dr. Mehran Pourgholi | Engineering | Best Researcher Award

Islamic Azad University | Iran

Assist. Prof. Dr. Mehran Pourgholi, an accomplished researcher in Civil and Structural Engineering, has made notable contributions to the fields of system identification, structural health monitoring, inverse problems, and stochastic subspace methods. His research focuses on enhancing the reliability of modal analysis and vibration-based damage detection in large-scale structures such as dams and steel buildings. Dr. Pourgholi integrates advanced computational approaches including entropy-based model selection, optimization algorithms, and error analysis frameworks to improve accuracy in structural system modeling. His collaborative work with experts from the University of Tabriz and Islamic Azad University has produced high-impact studies published in leading international journals such as the Journal of Vibration and Control, Mechanical Systems and Signal Processing, and Engineering Reports. According to Google Scholar, Dr. Pourgholi has 77 citations (68 since 2020), an h-index of 4, and an i10-index of 2, while Scopus records 51 citations across 46 documents with an h-index of 3. His influential publications on stochastic subspace identification and modal analysis have advanced understanding of dynamic behavior in civil structures. Recognized for his scholarly excellence, he has been honored with the Best Researcher Award for his significant impact in the field of structural system identification and vibration analysis.

Publication Profile

Scopus | Orcid | Google Scholar 

Featured Publications

Tarinejad, R., & Pourgholi, M. (2018). Modal identification of arch dams using balanced stochastic subspace identification. Journal of Vibration and Control, 24(10), 2030–2044.

Pourgholi, M., Mohammadzadeh Gilarlue, M. M., Vahdaini, T., & Azarbonyad, M. (2023). Influence of Hankel matrix dimension on system identification of structures using stochastic subspace algorithms. Mechanical Systems and Signal Processing, 186, 109893.

Pourgholi, M., Tarinejad, R., Khabir, M. E., & Mohammadzadeh Gilarlue, M. M. (2023). System identification of Karun IV Dam using balanced stochastic subspace algorithm considering the uncertainty of results. Journal of Vibration and Control, 29(23–24), 5342–5356.

Tarinejad, R., Pourgholi, M., & Yaghmaei-Sabegh, S. (2016). Signal processing of dynamic tests results using subspace identification based on orthogonal decomposition technique (SI-ORT). Modares Mechanical Engineering, 15(10), 104–116.

Pourgholi, M., Ghannadi, M., & Gavgani, S. S. (2024). Modal analysis of earthquake records for dams using stochastic subspace based on error analysis. Engineering Reports, 6(8), e12822

 

Mahasakti Mahamaya | Civil Engineering | Best Researcher Award

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