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

Chen Yang | Engineering | Research Excellence Award

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Prof. Chen Yang | Engineering | Research Excellence Award

School of Energy and Power, Chongqing University  |  China

Prof. Chen Yang  research centers on advanced energy systems, renewable energy utilization, and thermal power engineering, with strong emphasis on modeling, optimization, and dynamic control of complex thermo-energy systems, supported by a research record of 1,004 citations across 868 documents, 98 publications, and an h-index of 18. His contributions span ultra-supercritical circulating fluidized bed boilers, nuclear power reactor secondary systems, compressed air energy storage, and hybrid solid oxide fuel cell–gas turbine systems, advancing the efficiency, reliability, and safety of large-scale power generation. He has developed multi-physics and multi-scale reduced-order modeling techniques to address nonlinear dynamics, uncertainty, cooperative simulation, and system stability challenges, enabling enhanced operational performance under transient and abnormal working conditions. His work integrates mechanistic models with artificial intelligence, including neural networks and time-series methods, to achieve online simulation, intelligent prediction, fault early warning, and predictive control in energy systems. He has also contributed to thermodynamic coupling analysis, waste heat utilization strategies, and multi-objective optimization frameworks for green energy systems. Through these innovations, his research significantly supports sustainable power technology development, promotes intelligent and resilient energy infrastructures, and contributes to low-carbon energy transformation and modern energy system advancement.

Citation Metrics (Scopus)

1200

900

600

300

0

Citations
1004

Documents
98

h-index
18

🟦 Citations    🟥 Documents    🟩 h-index


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Vasso Papadimitriou | Engineering | Best Researcher Award

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Ms. Vasso Papadimitriou | Engineering | Best Researcher Award

Aristotle University of Thessaloniki | Greece

Ms. Vasso Papadimitriou is an accomplished researcher and academic affiliated with the Aristotle University of Thessaloniki and the Region of Central Macedonia, Greece. Her research primarily focuses on construction project management, cost estimation models, and the integration of Artificial Intelligence (AI) and Machine Learning (ML) techniques, particularly Artificial Neural Networks (ANNs), in the field of building renovation and project planning. She has contributed significantly to the development of predictive and hybrid models that enhance accuracy in early-stage and final cost estimation for construction and renovation projects. Dr. Papadimitriou’s innovative work combines ANN methodologies, including Radial Basis Function (RBF) and Multilayer Perceptron (MLP) networks, with Multi-Criteria Decision-Making (MCDM) approaches such as the TOPSIS Methodology to create efficient, data-driven tools for project assessment and optimization. Her research also aligns with Sustainable Development Goals (SDG 9 and SDG 17), focusing on promoting innovation, infrastructure, and partnerships for sustainable growth. She has published in international peer-reviewed journals indexed in Scopus, Web of Science (SCI-Expanded, ESCI), and other scientific databases. According to Scopus, she has 6 publications, 3 citations, and an h-index of 1. On Google Scholar, she holds 14 total citations, an h-index of 3, and an i10-index of 1, while ResearchGate records 6 publications, 11 citations, and an h-index of 2. Her interdisciplinary approach bridges civil engineering, computer science, and digital construction, contributing to advancements in cost modeling and sustainable infrastructure management. Through her publications and research collaborations, Dr. Papadimitriou continues to make impactful contributions to the field of engineering innovation and AI-driven construction technology. Her outstanding achievements and innovative contributions to predictive modeling and sustainable construction management make her a deserving nominee for the Best Researcher Award.

Publication Profile

Scopus | Google Scholar

Featured Publications

Papadimitriou, V. E., & Aretoulis, G. N. (2024). A final cost estimating model for building renovation projects. Buildings, 14(4), 1072.

Papadimitriou, V. E., Aretoulis, G. N., & Papathanasiou, J. (2024). Radial Basis Function (RBF) and Multilayer Perceptron (MLP) comparative analysis on building renovation cost estimation: The case of Greece. Algorithms, 17(9), 390.

Papadimitriou, V., & Aretoulis, G. (2023). Neural network models as a cost prediction tool to prevent building construction projects from a failure—A literature review. Proceedings of the Erasmus+ PROSPER Project International Scientific Conference, 1–10.

Papadimitriou, V. E., & Aretoulis, G. N. (2025). An innovative approach regarding efficient and expedited early building renovation cost estimation utilizing ANNs and the TOPSIS methodology. Algorithms, 18(11), 696.

Kritikos, P., Papadimitriou, V., & Aretoulis, G. N. (2021). Required project designers’ attributes as perceived by male and female engineers. International Journal of Decision Support System Technology (IJDSST), 13(4), 1–15.