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.

 

 

Okan Mert Katipoğlu | Civil Engineering Award | Best Researcher Award

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Dr. Okan Mert Katipoğlu | Civil Engineering Award | Best Researcher Award

Dr. Okan Mert Katipoğlu, Erzincan Binali Yıldırım University, Turkey

Dr. Okan Mert Katipoğlu, a Turkish civil engineer, holds a Ph.D. in Civil Engineering from Atatürk University. Specializing in disaster and emergency management, his research focuses on analyzing meteorological and hydrological droughts in the Fırat basin. With expertise in statistical analysis, GIS, and AI, he explores various fields including hydraulic engineering and surface water management. Proficient in languages like English and Russian, he’s also certified in aquanaut diving. Dr. Katipoğlu’s diverse skill set includes software proficiency in MATLAB, Python, and ArcGIS. 🌐📊🛠️

 

Publication Profile

Google Scholar

Education

With a lifelong dedication to engineering, Dr. Okan Mert Katipoğlu’s academic journey reflects his passion for construction and disaster management. Beginning with a Bachelor’s degree in Civil Engineering from Atatürk University, he delved deeper into the field through his Master’s and Doctorate studies, also at Atatürk University. His doctoral research focused on analyzing droughts in the Fırat basin, showcasing his commitment to understanding and mitigating environmental challenges. Currently pursuing a degree in Emergency and Disaster Management, his educational path exemplifies a relentless pursuit of knowledge in engineering and resilience-building. 🏗️🌊📚

Research Focus

Dr. Okan Mert Katipoğlu’s research primarily focuses on hydrological and meteorological phenomena, particularly droughts, in the Euphrates Basin, Turkey. Employing a multidisciplinary approach, he investigates spatiotemporal variations, trends, and impacts of droughts using advanced statistical and machine learning techniques. His work extends to predicting streamflow drought indices, filling missing data gaps, and forecasting flood routing in various regions of Turkey. Through innovative methodologies like wavelet transform, artificial intelligence, and signal processing, he contributes significantly to understanding and managing water resources in semi-arid environments. Dr. Katipoğlu’s research embodies a commitment to environmental sustainability and resilience. 🌊📊🔍

Publication Top Notes