Farzad Safi Jahanshahi – Transportation Engineering – Best Researcher Award

Published on by Civil Engineering

Mr. Farzad Safi Jahanshahi | Transportation Engineering | Best Researcher Award

Researcher- Engineer | Sirjan University of Technology | Iran

Mr. Farzad Safi Jahanshahi has built a strong research foundation in civil engineering with a focus on geotechnical and pavement materials. His work emphasizes soil and road layer stabilization, asphalt performance, and sustainable construction practices using industrial by-products such as mine tailings and overburden soil. He has contributed to the development of predictive models for unconfined compressive strength, resilient modulus, and pavement roughness by applying advanced statistical methods, machine learning, and hybrid ensemble learning techniques. Farzad Safi Jahanshahi’s studies highlight the mechanical and durability characteristics of cement-treated soils, magnetite and hematite tailings, and dune sands stabilized with geopolymers, aiming to improve long-term road performance and environmental sustainability. His collaborative works extend into intelligent modeling of geotechnical properties, application of gene expression programming, and development of mechanistic empirical pavement design approaches. Publications cover topics such as RCPT modeling of concrete, bond strength in reinforced concrete systems, and liquefaction-induced displacement prediction, showing broad interdisciplinary applications. He has presented at several national conferences on asphalt, soil stabilization, and pavement technologies, reinforcing practical knowledge transfer. His research experience includes field testing at Golgohar Mine, integrating laboratory findings with real-world construction challenges. Alongside academic contributions, he has professional experience in road construction supervision, micropile installation, and laboratory testing of soils and asphalts. He also contributes as an instructor, teaching geometric road design and related courses, linking research with education. Technical expertise spans MATLAB, Civil 3D, AutoCAD, and laboratory test methods essential for pavement and soil characterization. Farzad Safi Jahanshahi’s scholarly contributions reflect an integration of experimental studies with artificial intelligence, advancing sustainable pavement design and infrastructure engineering. His achievements demonstrate a balance of theoretical modeling, applied experimentation, and industry practice, providing valuable insights for the future of sustainable civil engineering. 53 Citations 11 Documents 5 h-index.

Profile: Scopus | ORCID | Linked In 
Featured Publications:

Ghavami, S., Naseri, H., & Safi Jahanshahi, F. (2025). Enhanced prediction and uncertainty modeling of pavement roughness using machine learning and conformal prediction. Infrastructures, 10(7), 166.

Nouri, Y., Ghanizadeh, A. R., Safi Jahanshahi, F., & Fakharian, P. (2025). Data-driven prediction of axial compression capacity of GFRP-reinforced concrete column using soft computing methods. Journal of Building Engineering, 111831.

Safi Jahanshahi, F., & Ghanizadeh, A. R. (2025). Machine learning approaches for resilient modulus modeling of cement-stabilized magnetite and hematite iron ore tailings. Scientific Reports, 15, 86978.

Fakharian, P., Nouri, Y., Ghanizadeh, A. R., Safi Jahanshahi, F., Naderpour, H., & Kheyroddin, A. (2024). Bond strength prediction of externally bonded reinforcement on groove method (EBROG) using MARS-POA. Composite Structures, 118532.

Safi Jahanshahi, F., & Ghanizadeh, A. R. (2024). Compressive strength, durability, and resilient modulus of cement-treated magnetite and hematite iron ore tailings as pavement material. Construction and Building Materials, 138076.

Alireza T. Toloukian – Railway Engineering – Best Researcher Award

Published on by Civil Engineering

Alireza T. Toloukian - Railway Engineering - Best Researcher Award

Iran University of Science and Technology - Iran

AUTHOR PROFILE

Google Scholar

EARLY ACADEMIC PURSUITS

Alireza T. Toloukian's academic journey is marked by a series of distinguished achievements in the field of Railway Engineering. He began his studies with a Bachelor of Science in Civil Engineering from Amirkabir University of Technology (Tehran Polytechnic), where he was recognized as a top student and earned an award for his performance. He continued his education at the same university, achieving a high distinction mark for his Master’s thesis in Structural Engineering. His Ph.D. in Railway Tracks and Structures Engineering from Iran University of Science and Technology further solidified his expertise, where he also achieved a high distinction mark for his doctoral thesis.

PROFESSIONAL ENDEAVORS

Alireza Toloukian's professional experience spans over a decade, primarily focused on Railway Engineering. As an Assistant Professor at Iran University of Science and Technology since 2021, he has been involved in extensive research on railway tracks and structures, as well as teaching various civil and railway engineering subjects. His contributions include enhancing the undergraduate syllabus and advising numerous M.S. students. His prior roles as a casual lecturer and research assistant at the same university involved teaching, project management, and significant contributions to railway engineering research projects funded by notable organizations such as the Railways of Islamic Republic of Iran and Isfahan Municipality.

CONTRIBUTIONS AND RESEARCH FOCUS

Toloukian’s research interests and contributions are deeply rooted in Railway Engineering. His Ph.D. dissertation focused on the structural behavior of sleepers under different ballast contamination conditions. He has conducted extensive research on health monitoring of rail structures, optimization of dynamic vibration absorbers, and the mechanical properties of railway ballast. He has developed sophisticated models for train-track interactions and contributed to projects aimed at improving railway track maintenance systems, measuring and evaluating metro-induced vibrations, and optimizing ride comfort in urban transit systems.

IMPACT AND INFLUENCE

Alireza Toloukian's impact on the field of Railway Engineering is significant. He has played a pivotal role in advancing the understanding of railway track dynamics and structural health monitoring. His work on the development of a track quality index and innovative solutions for soil improvement in railway tracks has provided practical benefits to the industry. His academic influence extends through his teaching, supervision of graduate students, and contributions to important conferences and journals.

ACADEMIC CITES

Toloukian's research is widely recognized and cited in the academic community. He has served as a reviewer for prestigious journals such as MDPI, ICE, and Elsevier, and has contributed to international conferences on railway engineering. His work has been instrumental in advancing knowledge in the field and has been cited by peers who continue to build on his foundational research.

LEGACY AND FUTURE CONTRIBUTIONS

Alireza Toloukian’s legacy in Railway Engineering is characterized by his dedication to improving railway infrastructure and education. His ongoing research, publications, and involvement in high-profile projects ensure that his contributions will continue to influence the field. Looking forward, Toloukian aims to further advance the integration of AI and prompt engineering in teaching, enhance the efficiency and safety of railway systems, and continue mentoring the next generation of engineers.

RAILWAY ENGINEERING

The cornerstone of Alireza Toloukian's career is Railway Engineering. His extensive research, practical contributions, and commitment to education in this field underscore his significant role in advancing railway technologies and infrastructure. Toloukian's expertise in experimental modal analysis, in-situ railway tests, and numerical modeling has been crucial in addressing the challenges faced by modern railway systems. His work not only improves current practices but also paves the way for future innovations in Railway Engineering.

NOTABLE PUBLICATION

Effectiveness of geogrid reinforcement in improvement of mechanical behavior of sand-contaminated ballast 2020 (50)

Behavior of sand-contaminated ballast reinforced with geogrid under cyclic loading 2023 (7)

Metro-induced vibration attenuation using rubberized concrete slab track 2024

Effects of particle gradations on cyclic behavior of ballast contaminated with sand 2022 (8)

Effect of geometry of vertical rib plate on cyclic behavior of steel beam to built-up box column moment connection 2011 (19)

Yihao Chi – Railway Engineering – Best Researcher Award

Published on by Civil Engineering

Yihao Chi - Railway Engineering - Best Researcher Award

Beijing Jiaotong University - China

AUTHOR PROFILE

Scopus

EARLY ACADEMIC PURSUITS

Yihao Chi embarked on his academic journey with a keen interest in Railway Engineering. His dedication to addressing challenges in severe cold areas led him to pursue innovative solutions for improving traffic safety, particularly focusing on the problem of ice and snow splash.

PROFESSIONAL ENDEAVORS

Throughout his career, Yihao Chi has demonstrated a commitment to research and development in Railway Engineering. His contributions include the development of coupling algorithms for refined simulation of ice and snow splash processes and the introduction of elastic track sleeper structures to address ballast crushing deterioration.

CONTRIBUTIONS AND RESEARCH FOCUS

Yihao Chi's research has significantly advanced the field of Railway Engineering, particularly in the areas of traffic safety and track maintenance. His innovative approaches have overcome challenges such as the "necklace" problem on the Yinxi High-speed Railway, providing technical guidance for safe operation and maintenance.

IMPACT AND INFLUENCE

Yihao Chi's research has garnered attention for its practical applications and impact on railway infrastructure. With a cumulative impact factor of 31.783 over the last three years and a growing number of citations, his work is recognized for its contributions to the field.

ACADEMIC CITES

Yihao Chi's publications have been well-received in the academic community, with multiple journal publications in SCI, SCIE, and Scopus indexes. His research has also been presented at conferences, further disseminating his findings and contributing to scholarly discourse.

LEGACY AND FUTURE CONTRIBUTIONS

As a leading figure in Railway Engineering, Yihao Chi's legacy is marked by his innovative research and contributions to traffic safety and track maintenance. His continued dedication to addressing challenges in railway infrastructure is expected to shape the future of the field, ensuring safer and more efficient transportation systems.

NOTABLE PUBLICATION

Response analysis and effect evaluation of dynamic stabilization for ballasted track  2023 (2)