Yang Shi | Civil Engineering | Young Researcher Award

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Dr. Yang Shi | Civil Engineering | Young Researcher Award

Tsinghua University | China

Dr. Yang Shi is an accomplished early-career academic specializing in coastal dynamics, fluid–structure interaction, hydrometeorology, multiphase flows, and geoinformatics-driven modeling. His research integrates physics-based numerical methods (SPH, CFD, FEM, DEM) with machine learning and remote sensing to address challenges in coastal protection, sediment transport, aerosol and cloud microphysics, and water resource systems. He has authored 40+ peer-reviewed publications in leading journals such as Journal of Fluids and Structures, Applied Ocean Research, Atmospheric Research, and Water Resources Research, achieving 464 citations and an h-index of 12. His work demonstrates strong interdisciplinarity, innovation, and real-world impact.

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Featured Publications

Mostafa Bigdeli | Civil Engineering | Editorial Board Member

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Mr. Mostafa Bigdeli | Civil Engineering | Editorial Board Member

University of Ottawa | Canada

Mostafa Bigdeli is a dedicated researcher in water resources engineering and air quality modeling, recognized for his interdisciplinary work spanning atmospheric pollution, hydro-climatic assessment, and environmental fluid mechanics. His research explores particulate matter behavior, microplastic transport, evapotranspiration modeling, land–atmosphere interactions, and environmental data analytics. He has contributed significantly to understanding fine particulate pollution in urban environments, the fate and transport of marine microplastics, and the relationships between air pollutants and public health indicators. His work also advances machine-learning applications for soil moisture estimation, hydro-climatic forecasting, and predictive environmental modeling. Through publications in high-impact environmental and engineering journals, he has established a strong research profile that integrates field data, remote sensing, numerical modeling, and artificial intelligence. His scholarly contributions demonstrate a commitment to solving complex environmental challenges through innovative analytical frameworks and multidisciplinary collaboration.

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Featured Publications

Arhami, M., Hosseini, V., Shahne, M. Z., Bigdeli, M., Lai, A., & Schauer, J. J. (2017). Seasonal trends, chemical speciation and source apportionment of fine PM in Tehran. Atmospheric Environment, 153, 70–82.

Bigdeli, M., Mohammadian, A., Pilechi, A., & Taheri, M. (2022). Lagrangian modeling of marine microplastics fate and transport: The state of the science. Journal of Marine Science and Engineering, 10(4), 481.

Taheri, M., Mohammadian, A., Ganji, F., Bigdeli, M., & Nasseri, M. (2022). Energy-based approaches in estimating actual evapotranspiration focusing on land surface temperature: A review of methods, concepts, and challenges. Energies, 15(4), 1264.

Bigdeli, M., Taheri, M., & Mohammadian, A. (2021). Spatial sensitivity analysis of COVID-19 infections concerning the satellite-based four air pollutants levels. International Journal of Environmental Science and Technology, 18(3), 751–760.

Bigdeli, M., Taheri, M., & Mohammadian, A. (2023). Numerical modeling of dam-break flood flows for dry and wet sloped beds. ISH Journal of Hydraulic Engineering, 29(3), 259–269.

Taheri, M., Bigdeli, M., Imanian, H., & Mohammadian, A. (2025). An overview of evapotranspiration estimation models utilizing artificial intelligence. Water, 17(9), 1384.

 

Amin Foyouzati | Civil Engineering | Best Researcher Award

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Dr. Amin Foyouzati | Civil Engineering | Best Researcher Award

 Mr. Amin Foyouzati, Sharif University of Technology, Iran

Mr. Amin Foyouzati is a structural engineering researcher at Sharif University of Technology, specializing in seismic analysis and retrofitting of concrete structures. With a strong academic foundation and hands-on experience in seismic hazard studies and structural strengthening techniques, Amin continues to contribute to the advancement of seismic safety measures. His research aims to improve the resilience of structures in earthquake-prone regions, combining innovative design and cost-effective solutions.

Publication profile

Orcid Profile

Educational Background

Mr. Amin Foyouzati obtained his MSc in Structural Engineering from Sharif University of Technology in 2020. His thesis, “Investigation on Seismic Behavior of Concrete Structures with Self Centered, Post-Tensioned Shear Walls System,” was supervised by Distinguished Professor Alireza Khaloo. Prior to this, he earned his BSc in Civil Engineering from Shahid Bahonar University of Kerman in 2018, working on steel and reinforced concrete structures.

Work Experience

Amin has been an active researcher at Sharif University of Technology since 2018. Under the supervision of prominent professors like Prof. Alireza Khaloo, Prof. Fayaz Rahimzadeh Rofooei, and Horno Engineering Group Co., he has conducted significant research projects on the seismic behavior of self-centering hybrid wall systems, the development of artificial neural network models for response prediction, and innovative seismic strengthening techniques for existing concrete structures. His work has focused on both practical and theoretical aspects of structural engineering, with strong contributions to the field of seismic hazard analysis and mitigation strategies.

Research Focus

Amin’s research interests lie in the seismic behavior of concrete structures, with a particular emphasis on self-centering wall systems, seismic hazard assessments, and innovative seismic strengthening techniques for concrete frames. His work spans from developing new analytical methods to utilizing passive dampers in structures to enhancing seismic performance in high-risk seismic zones.

Publication Top Notes

Foyouzati, A., Khaloo, AR. (2024). Comprehensive analytical studies on seismic performance of concrete structures equipped with self-centered hybrid wall system in moderate to high seismic hazard zones. Bulletin of Earthquake Engineering, 22, 3979–4002. https://doi.org/10.1007/s10518-024-01913-0

Foyouzati, A., Khaloo, AR. (2024). Seismic performance assessment and fragility analysis of concrete structures equipped with self-centered hybrid wall systems. Sustainable and Resilient Infrastructure. https://doi.org/10.1080/23789689.2024.2403866

Foyouzati, A., Khaloo, AR. Response prediction of self-centered concrete walls using artificial neural networks. Sustainable and Resilient Infrastructure, In Revision.

Foyouzati, A., Rahimzadeh Rofooei, F. (2023). Seismic hazard assessment studies based on developed deterministic and probabilistic approaches for the central-east of Iran region. World Journal of Engineering, 1-14. https://doi.org/10.1108/WJE-04-2023-0100

Foyouzati, A. (2023). Analytical study on seismic strengthening of reinforced concrete frame equipped with steel damping system with shear mechanism fuse. Asian Journal of Civil Engineering, 25, 1115–1127. https://doi.org/10.1007/s42107-023-00820-0

Foyouzati, A. (2024). Probabilistic seismic hazard assessment studies on the central-east of Iran – Kerman region. Iranian Journal of Science and Technology Transactions of Civil Engineering. https://doi.org/10.1007/s40996-024-01428-3

Conclusion

In summary, Mr. Amin Foyouzati’s academic credentials, extensive research experience, prolific publication record, innovative methodologies, and commitment to community impact position him as an exceptional candidate for the Research for Best Researcher Award. His contributions to the field of civil engineering are not only impressive but also vital for enhancing public safety and advancing engineering practices. Recognizing his work with this award would not only honor his achievements but also inspire further innovation in the field.