Feng Jiang | Civil Engineering | Best Researcher Award

Mr. Feng Jiang | Civil Engineering | Best Researcher Award

Research Contributions:

  • Jiang has a substantial record of publications in reputed civil engineering journals, indicating his consistent contributions to structural design, sustainability, and infrastructure resilience. His published work addresses key challenges in civil engineering, including urban infrastructure, material science, and safety in construction, which are critical to the field.
Mr. Feng Jiang ,Shandong University of Science and Technology , China

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🌱EARLY ACADEMIC PURSUITS

  • Mr. Feng Jiang began his academic journey in the field of Civil Engineering, laying a strong foundation in structural engineering principles and design while affiliated with the Department of Civil Engineering at Shandong University of Science and Technology. His early education was marked by a commitment to mastering both theoretical and practical aspects of civil engineering, which would become essential in his future research endeavors.

💼 PROFESSIONAL ENDEAVORS

  • In addition to his work at Shandong University of Science and Technology, Feng Jiang has collaborated with various institutions to expand his research scope and practical experience. His professional journey includes engagements in consulting roles, academic collaborations, and advisory positions, allowing him to bridge the gap between academia and industry. This network of professional experiences has enriched his perspective, providing insights into the real-world challenges and innovative solutions in civil engineering.

🔬CONTRIBUTIONS AND RESEARCH FOCUS 

  • Mr. Feng Jiang’s research centers on structural engineering, material science, and sustainable construction practices. His primary areas of interest include the development of innovative construction materials, resilience in infrastructure, and advanced computational modeling for structural analysis. Noteworthy contributions include:
    • Innovative Materials: Feng Jiang has explored the use of sustainable materials in construction to reduce environmental impact.
    • Structural Resilience: His studies have provided new insights into enhancing the durability and safety of civil structures, particularly under stress from natural and man-made forces.
    • Computational Modeling: Leveraging cutting-edge software, he has contributed to the development of sophisticated models that predict structural performance under various scenarios.

    These contributions are often cited as pioneering advancements in the civil engineering field, providing new methods to enhance the reliability and sustainability of construction practices.

 📚ACADEMIC CITES 

  • As an emerging scholar, Peng Tian has received citations in journals and conferences related to power electronics and sustainable automation practices. His research is gaining recognition for its practical applications, particularly in China’s growing intelligent brewing sector. By bridging automation with sustainability, his academic work is cited by peers interested in environmentally friendly technological advancements.

🌍IMPACT AND INFLUENCE

  • Feng Jiang’s research contributions have been widely recognized and cited in top-tier civil engineering journals, with a high citation index that reflects the influence of his work in the field. His most cited publications often address issues such as infrastructure resilience and the development of environmentally friendly construction materials, underscoring the broad applicability of his research across multiple sub-disciplines within civil engineering.

🌟LEGACY AND FUTURE AND CONTRIBUTIONS

  • Mr. Feng Jiang’s work has not only contributed to present-day advancements but has also paved the way for future research. His pioneering efforts in sustainable construction and structural modeling are expected to influence the field for years to come. As an active contributor to academic conferences and a mentor to students, his legacy in civil engineering is both expansive and enduring. Future projects will likely see him exploring new materials and innovative techniques, continuing to inspire sustainable development and resilience in civil infrastructure.

📄Publications

  • Shear Damage Mechanisms of Jointed Rock Mass: A Macroscopic and Mesoscopic Study
    Authors: Wang, G., Liu, W., Jiang, F., Xiao, Z., Zheng, C.
    Journal: Scientific Reports, 2024, 14(1), 8619
  • A Rapid Evaluation Method of Blasting Effect Based on Optimized Image Segmentation Algorithm and Application in Engineering
    Authors: He, P., Xu, Y., Jiang, F., Xiao, Z., Zheng, C.
    Journal: Scientific Reports, 2024, 14(1), 4783
  • Research on the Deformation Laws of Buildings Adjacent to Shield Tunnels in Clay Strata
    Authors: Cai, L., Shi, K., Jiang, F., Zhang, S., Wu, Y.
    Journal: Scientific Reports, 2024, 14(1), 265
  •  Analysis of Progressive Collapse Disaster and Its Anchoring Effectiveness in Jointed Rock Tunnel
    Authors: Zheng, C., He, P., Wang, G., Xiao, Z., Ma, Z.
    Journal: International Journal for Numerical and Analytical Methods in Geomechanics, 2024, 48(16), pp. 3876–3908
  • Quick and Reliable Approach for Rating Underground Engineering Rock Mass Based on RMR System
    Authors: He, P., Li, Z.-K., Jiang, F., Yang, C.-X., Jiang, Z.
    Journal: Applied Geophysics, 2024

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

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🏛️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