Ahad Amini Pishro | Civil Engineering | Best Researcher Award Posted on 18/10/202418/10/2024 by sciencefatherLeave a Comment on Ahad Amini Pishro | Civil Engineering | Best Researcher Award Prof. Ahad Amini Pishro | Civil Engineering | Best Researcher Award Research and Teaching: His teaching and supervisory role in civil engineering covers a wide range of topics such as stress analysis of reinforced concrete structures, machine learning integration, and seismic analysis. He supervises both undergraduate and graduate students, contributing to academic growth in his field. Prof. Ahad Amini Pishro , Civil Engineering Department, Sichuan University of Science and Engineering, China Profile Scopus OrcID Google Scholar 🏛️Early Academic Pursuits Ahad Amini Pishro embarked on his academic journey with a Bachelor’s Degree in Civil Engineering from Islamic Azad University, (2005-2010). His undergraduate studies laid a strong foundation for his future in civil engineering, focusing on structural design, geotechnics, and material science. He then pursued a Master’s Degree in Structural Engineering at Hormozgan University, (2012-2015), where his thesis revolved around the Analytical Model for the Behavior of Reinforced Concrete Beams Retrofitted with FRP Materials Under Combined Bending, Shear, and Torsion. This marked the beginning of his research focus on concrete technology and material behavior under stress. In 2015, he furthered his studies with a Ph.D. in Structural Engineering from Sichuan University, China (2015-2018), where his thesis explored the Local Bond Stress Between Reinforcing Steel Bars and Ultra-High Performance Concrete (UHPC) Containing Nano-Silica. 👨🔬 PROFESSIONAL ENDEAVORS Throughout his professional career, Ahad Amini Pishro has taken on diverse roles in civil and structural engineering, contributing significantly to academia and industry. He started as a Civil Engineer and Supervising Expert with the Ministry of Road, Construction, and Urban Development, (2011-2015), where he oversaw major infrastructure projects. He later worked as a Geotechnical and Civil Engineer at Omran Saze Kashigari Co., contributing to various geotechnical calculations and providing consultative services for civil engineering projects. Currently, Ahad serves as an Associate Professor at Sichuan University of Science and Engineering, China, where he supervises both undergraduate and graduate students while conducting research in structural engineering, numerical analysis, and machine learning applications. His notable international experience includes a postdoctoral fellowship at Southwest Jiaotong University, China, and serving as an Associate Researcher at Université Gustave Eiffel, France, focusing on machine learning for rail transit stations. 🏆 CONTRIBUTIONS AND RESEARCH FOCUS Ahad’s research interests span multiple disciplines within civil and structural engineering, including: Numerical Analysis & Analytical Modeling of Reinforced UHPC Structures Machine Learning Applications in Structural Engineering Structural Dynamics and Seismic Analysis of Structures Transit-Oriented Development (TOD) Ahad’s work on Ultra-High Performance Concrete (UHPC) is groundbreaking, particularly his investigation into the bond stress between reinforcing steel bars and UHPC, which has significant implications for the future of construction materials and design. He is also involved in Transit-Oriented Development (TOD) research, applying machine learning techniques to classify rail transit stations and optimize urban mobility solutions. 📊 IMPACT AND INFLUENCE Ahad has made substantial contributions through his involvement in international conferences and as a reviewer for renowned journals, including Elsevier, Springer Nature, MDPI, and ICE. His work has garnered recognition, such as the Level A Award by the State Administration of Foreign Experts Affairs, China, and his position as a High-Level Foreign Talent in Sichuan Province, China. His research not only bridges traditional civil engineering with modern machine learning techniques but also introduces innovations in predictive modeling for structural performance, particularly in UHPC and rail transit systems. These contributions reflect his influence in both academic and practical engineering communities globally. 🏅ACADEMIC CITES Ahad Amini Pishro’s academic contributions have been widely cited in structural engineering literature. He has presented his work at prestigious conferences, such as the 35th International Geographical Congress in Dublin and the World Congress on Concrete Structures and Concrete Technology in Los Angeles. His research, particularly in structural analysis and material behavior, is frequently referenced in studies concerning UHPC and transit-oriented infrastructure. As a guest editor and reviewer for several high-impact journals, his influence continues to shape emerging trends in structural engineering research. 🚀LEGACY AND FUTURE CONTRIBUTIONS Looking forward, Ahad’s contributions to sustainable infrastructure and the application of machine learning in civil engineering promise to have a lasting impact. His ongoing research at Université Gustave Eiffel, France, on rail-transit station classification will provide valuable insights into urban planning and mobility solutions. Ahad’s work in structural dynamics, seismic analysis, and UHPC innovations will continue to inspire future engineers and researchers, solidifying his legacy as a pioneering figure in modern civil engineering. In summary, Ahad Amini Pishro’s career exemplifies a blend of rigorous academic research and practical engineering solutions. His contributions to structural engineering, particularly in the fields of UHPC, machine learning, and Transit-Oriented Development (TOD), reflect his dedication to advancing both the academic and professional realms of civil engineering. 📄Publications “Review of research on testing and models of the trigger mechanism of slope debris flows” Authors: Zhao, Y., Saadon, A., Abdullah, J., Amini Pishro, A. Journal: Natural Hazards, 2024, 120(8), pp. 7039–7063 “Advancing ultimate bond stress–slip model of UHPC structures through a novel hybrid machine learning approach” Authors: Amini Pishro, A., Zhang, S., Hu, Q., Liu, Y., Zhao, Y. Journal: Structures, 2024, 62, 106162 “The Integrated ANN-NPRT-HUB Algorithm for Rail-Transit Networks of Smart Cities: A TOD Case Study in Chengdu” Authors: Amini Pishro, A., L’Hostis, A., Chen, D., Zhao, Y., Zhang, L. Journal: Buildings, 2023, 13(8), 1944 “UHPC-PINN-parallel micro element system for the local bond stress–slip model subjected to monotonic loading” Authors: Amini Pishro, A., Zhang, Z., Amini Pishro, M., Yang, Q., Jahara Matlan, S. Journal: Structures, 2022, 46, pp. 570–597 “Node, place, ridership, and time model for rail-transit stations: a case study” Authors: Amini Pishro, A., Yang, Q., Zhang, S., Huang, D., Li, W.Y. Journal: Scientific Reports, 2022, 12(1), 16120