Ahad Amini Pishro | Numerical Analysis | Best Researcher Award

Published on by Academic Achievements

Assoc. Prof. Dr. Ahad Amini Pishro | Numerical Analysis | Best Researcher Award

Assoc. Prof. Dr. Ahad Amini Pishro | Numerical Analysis | Associate Professor at Sichuan University of Science and Engineering | China

Assoc. Prof. Dr. Ahad Amini Pishro is an accomplished scholar in structural engineering, known for integrating advanced computational methods with traditional engineering principles to enhance the safety and performance of civil infrastructure. He has held academic and research positions across leading universities and institutes in Europe and Asia, contributing to international collaborations that link structural mechanics, urban mobility, and digital innovation. His contributions span research, teaching, project leadership, and mentorship, making him a well-rounded academic and researcher with a global outlook.

Academic Profile

ORCID

Education

Dr. Pishro holds a doctorate in structural engineering, where his research focused on ultra-high-performance concrete and bond stress behavior in reinforced concrete structures. His academic training emphasized advanced structural analysis, reinforced concrete mechanics, and finite element modeling. He also earned master’s and bachelor’s degrees in civil and structural engineering, which provided him with a strong foundation in both the theoretical and applied aspects of the discipline. His academic journey, marked by rigorous research and technical excellence, positioned him to bridge the gap between engineering fundamentals and cutting-edge computational methods.

Experience

Dr. Pishro has served as an associate professor and researcher at distinguished universities in China and France, where he contributed to projects on machine learning applications in transport infrastructure and transit-oriented development. His professional experience extends to supervising graduate students, securing and managing funded research projects, and advancing practical engineering solutions for urban development. He also engaged in roles as a civil engineer in government agencies, where he gained hands-on expertise in construction management, quality assurance, and project supervision. This blend of academic, research, and practical engineering experience has strengthened his capacity to lead interdisciplinary initiatives in structural engineering and infrastructure planning.

Research Interest

His primary research interests lie in the fields of ultra-high-performance concrete, structural bond stress–slip models, reinforced concrete behavior, and finite element method applications. He has advanced the integration of artificial intelligence and machine learning to improve predictive models for structural performance, especially in the context of smart infrastructure and sustainable urban planning. His research contributes to solving complex engineering problems, such as optimizing rail-transit systems, enhancing seismic resilience, and modeling advanced materials. By combining engineering principles with computational intelligence, his work supports the development of safer, smarter, and more sustainable built environments.

Award

Dr. Pishro has been officially recognized as a high-level foreign talent and has received prestigious awards and funded projects for his innovative research contributions. His international recognition reflects not only academic excellence but also his ability to foster cross-border collaboration and deliver solutions of societal relevance. His role as principal investigator in competitive research grants highlights his leadership and capability to translate academic research into real-world engineering outcomes that benefit both industry and the public.

Selected Publication

  • “Structural behavior of a novel preplaced aggregate concrete-filled steel tube stub columns” – published 2025, cited 18 times.

  • “Machine learning-aided hybrid technique for dynamics of rail transit stations classification: a case study” – published 2024, cited 32 times.

  • “Advancing ultimate bond stress–slip model of UHPC structures through a novel hybrid machine learning approach” – published 2024, cited 27 times.

  • “UHPC-PINN-Parallel Micro Element System for the Local Bond Stress–Slip model subjected to monotonic loading” – published 2022, cited 41 times.

Conclusion

Assoc. Prof. Dr. Ahad Amini Pishro stands out as a dynamic researcher and academic leader whose contributions to structural engineering and machine learning applications in civil infrastructure are both innovative and impactful. His academic qualifications, diverse experience, and international collaborations underscore his ability to engage with global challenges in infrastructure resilience and sustainable development. With a strong record of publications, research grants, patents, and recognition from leading institutions, he exemplifies excellence in both scholarly and practical domains. His dedication to advancing engineering research, mentoring future professionals, and contributing to global knowledge networks makes him a highly deserving candidate for this award.