Bhupati Kannur’ | Transportation Engineering | Best Researcher Award

Posted on by Civil Engineering Awards

Dr. Bhupati Kannur | Transportation Engineering | Best Researcher Award

Assistant Professor | Coep Technological University Pune | Best Researcher Award

Dr. Bhupati Kannur’s research experience demonstrates strong expertise in pavement materials, sustainable construction, and transportation systems. His work focuses on developing innovative, eco-friendly concrete technologies and optimizing transportation infrastructure using scientific and experimental approaches. He has conducted extensive research on self-consolidating concrete (SCC) for rigid pavements, introducing novel variants such as semi-flowable SCC and low-fines SCC incorporating industrial by-products like fly ash, rice husk ash, and sugarcane bagasse ash. These studies emphasize enhancing the strength, durability, and environmental sustainability of pavement materials while aligning with Indian Road Congress standards. His projects also explore the reuse of agro-industrial waste, transforming it into cost-effective materials for urban and rural road construction. His experience spans academic research, experimental laboratory studies, and collaborative engineering projects, contributing to publications in high-impact international journals such as Construction and Building Materials and Journal of Materials in Civil Engineering (ASCE). Dr. Kannur has also filed and been granted a patent on self-consolidating concrete compositions using industrial waste for pavement applications, showcasing his applied innovation. His research interests further include pavement analysis and design, traffic engineering, and transportation planning. Beyond laboratory research, he has participated in multiple international conferences, presenting findings on sustainable infrastructure and material innovations. His involvement in academic institutions as a faculty member and research collaborator has allowed him to integrate applied research with teaching, mentoring, and technical training. Additionally, his role as a reviewer for reputed journals and memberships in professional bodies such as ASCE, IAENG, and ITE highlight his active engagement with the global engineering community. Overall, his research trajectory reflects a commitment to advancing sustainable pavement technologies, optimizing resource utilization, and improving transportation infrastructure performance through evidence-based engineering solutions.

Profile: Google Scholar | ORCID
Featured Publications

Kannur, B., & Chore, H. S. (2023). Low-fines self-consolidating concrete using rice husk ash for road pavement: An environment-friendly and sustainable approach. Construction and Building Materials, 365, 130036.

Kannur, B., & Chore, H. S. (2022). Strength and durability study of low-fines self-consolidating concrete as a pavement material using fly ash and bagasse ash. European Journal of Environmental and Civil Engineering, 26(13), 1–19.

Kannur, B., & Chore, H. S. (2021). Utilization of sugarcane bagasse ash as cement-replacing materials for concrete pavement: An overview. Innovative Infrastructure Solutions, 6(184), 1–17.

Kannur, B., & Chore, H. S. (2023). Semi-flowable self-consolidating concrete using industrial wastes for construction of rigid pavements in India: An overview. Journal of Traffic and Transportation Engineering (English Edition), 10(2).

Kannur, B., & Chore, H. S. (2023). Assessing semiflowable self-consolidating concrete with sugarcane bagasse ash for application in rigid pavement. Journal of Materials in Civil Engineering, 35(10), 04023358.

Farzad Safi Jahanshahi – Transportation Engineering – Best Researcher Award

Posted on by Civil Engineering Awards

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.