Dr. Yang Shi | Civil Engineering | Young Researcher Award
Tsinghua University | China
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Documents
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Featured Publications
– Journal of Fluids and Structures, 2018
– Ocean Engineering, 2022
– Water Resources Research, 2024
Tsinghua University | China
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University of Ottawa | Canada
Mostafa Bigdeli is a dedicated researcher in water resources engineering and air quality modeling, recognized for his interdisciplinary work spanning atmospheric pollution, hydro-climatic assessment, and environmental fluid mechanics. His research explores particulate matter behavior, microplastic transport, evapotranspiration modeling, land–atmosphere interactions, and environmental data analytics. He has contributed significantly to understanding fine particulate pollution in urban environments, the fate and transport of marine microplastics, and the relationships between air pollutants and public health indicators. His work also advances machine-learning applications for soil moisture estimation, hydro-climatic forecasting, and predictive environmental modeling. Through publications in high-impact environmental and engineering journals, he has established a strong research profile that integrates field data, remote sensing, numerical modeling, and artificial intelligence. His scholarly contributions demonstrate a commitment to solving complex environmental challenges through innovative analytical frameworks and multidisciplinary collaboration.
Profile: Google Scholar
Arhami, M., Hosseini, V., Shahne, M. Z., Bigdeli, M., Lai, A., & Schauer, J. J. (2017). Seasonal trends, chemical speciation and source apportionment of fine PM in Tehran. Atmospheric Environment, 153, 70–82.
Bigdeli, M., Mohammadian, A., Pilechi, A., & Taheri, M. (2022). Lagrangian modeling of marine microplastics fate and transport: The state of the science. Journal of Marine Science and Engineering, 10(4), 481.
Taheri, M., Mohammadian, A., Ganji, F., Bigdeli, M., & Nasseri, M. (2022). Energy-based approaches in estimating actual evapotranspiration focusing on land surface temperature: A review of methods, concepts, and challenges. Energies, 15(4), 1264.
Bigdeli, M., Taheri, M., & Mohammadian, A. (2021). Spatial sensitivity analysis of COVID-19 infections concerning the satellite-based four air pollutants levels. International Journal of Environmental Science and Technology, 18(3), 751–760.
Bigdeli, M., Taheri, M., & Mohammadian, A. (2023). Numerical modeling of dam-break flood flows for dry and wet sloped beds. ISH Journal of Hydraulic Engineering, 29(3), 259–269.
Taheri, M., Bigdeli, M., Imanian, H., & Mohammadian, A. (2025). An overview of evapotranspiration estimation models utilizing artificial intelligence. Water, 17(9), 1384.
Prof. Dr. Alireza Rahai, Department of Civil and Environmental Engineering, Amirkabir University of Technology (Tehran Polytechnic), Iran
Prof. Dr. Alireza Rahai is a distinguished Professor of Civil and Environmental Engineering at Amirkabir University of Technology, specializing in Structural and Earthquake Engineering 🏗️🌍. With an h-index of 24 and over 2,000 citations on Scopus 📊, he has made impactful contributions to infrastructure resilience, bridge engineering, and advanced composite materials. He has supervised numerous PhD and MSc theses, shaping future engineers through cutting-edge research and innovation 🎓🔬. His work emphasizes seismic performance, health monitoring, and structural optimization, making him a prominent figure in civil engineering research globally
Prof. Dr. Alireza Rahai is a distinguished faculty member at Amirkabir University of Technology, located in Tehran, Iran 🇮🇷. He has dedicated a significant portion of his academic career to this prestigious institution, contributing as a professor, mentor, and researcher in the field of civil and structural engineering. His involvement at Amirkabir University has been instrumental in advancing both undergraduate and postgraduate education, fostering innovation in structural mechanics, and leading impactful research projects. His longstanding commitment reflects his dedication to academic excellence and engineering development in Iran and beyond.
Prof. Dr. Alireza Rahai has played a pivotal role in mentoring over 75 MSc and several PhD theses in structural and civil engineering. His supervision covers diverse topics such as FRP-confined concrete, composite shear walls, bridge performance, damage detection, health monitoring, and progressive collapse assessment. With a focus on innovation and real-world applications, his students have investigated modern construction materials, seismic resilience, and infrastructure durability. His recent guidance includes theses on prestressed concrete bridges, cyclic loading on steel structures, and structural health monitoring, showcasing his commitment to advancing engineering through research and mentorship.
Prof. Dr. Alireza Rahai’s research primarily focuses on structural engineering, with emphasis on structural health monitoring, finite element modeling, damage detection, and reinforced concrete behavior under various loading conditions. His work integrates advanced methods like artificial neural networks 🤖, fuzzy logic, and genetic programming 🧬 to predict bond strength, damage, and service life of concrete structures. He also explores CFRP strengthening techniques, composite shear walls, and nonlinear behavior of structural elements. His interdisciplinary approach bridges civil engineering, materials science, and computational mechanics for safer and smarter infrastructure.
📘 A structural damage detection method using static noisy data – 210 citations (2005)
📘 Structural model updating using frequency response function and quasi-linear sensitivity equation – 182 citations (2009)
📘 Prediction of bond strength using ANN and fuzzy logic – 148 citations (2012)
📘 Evaluation of composite shear wall behavior under cyclic loadings – 136 citations (2009)
📘 Experimental study of RC columns strengthened with CFRP under eccentric loading – 116 citations (2010)
📘 Finite element model updating using transfer function data – 110 citations (2010)
📘 Damage assessment using incomplete measured mode shapes – 102 citations (2007)
📘 ANN & GP for bond strength prediction of GFRP bars – 96 citations (2015)
📘 Investigation on RC columns with CFRP under axial & biaxial loading – 79 citations (2014)
📘 Bond behavior in self-compacting concrete – 75 citations (2014)
📘 Damage diagnosis using natural frequencies and sensitivity equation – 74 citations (2013)
Mr. Muhammet Sari, Recep Tayyip Erdoğan University, Turkey
Professional Experience 💼🔧
Research Interests 🌍🔬
Dr.Arun Kumar Ammasi, Vellore Institute of Technology, Chennai, India
Dr. Arun Kumar Ammasi is a dedicated researcher and educator with a robust background in civil engineering. His research focuses on innovative applications of concrete materials, including the incorporation of plastic, rubber, and electronic wastes into concrete production. His work extends to using treated sewage sludge in manufacturing bricks, pavement, and solid blocks, contributing to sustainable construction practices. Dr. Ammasi explores Engineered Cementitious Composites (ECC) and Smart Dynamic Concrete (SDC) for enhanced structural performance. Additionally, his expertise encompasses the utilization of coal combustion products and the development of engineered geo-polymeric cementitious composites. In teaching, he emphasizes advanced concrete technology, construction materials, structural analysis, and more. Dr. Ammasi employs a dynamic teaching methodology, incorporating Project-Based Learning (PBL) and Research-Based Learning (RBL) to engage students effectively. He adopts a flipped classroom pedagogy, integrates contemporary assignments, and emphasizes continuous assessment for comprehensive learning. As the Head of the Department for Civil and Structural Engineering at VIT Chennai Campus, Dr. Ammasi also excels in administrative roles, demonstrating leadership and commitment to academic excellence. 🏗️🔬📚
Dr. Arun Kumar Ammasi’s academic journey reflects a profound commitment to excellence in civil engineering. He completed his Doctor of Philosophy, focusing on the effects of fly ash on concrete properties, through an integrated Ph.D. program at VIT University from 2009 to 2015. 🏗️ His undergraduate studies were equally impressive, earning a Doctor of Philosophy (Ph.D.) Integrated degree with a remarkable 8 CGPA from Vellore Institute of Technology. 📚 Dr. Ammasi’s foundation in civil engineering began with a B.Tech. degree from Sona College of Technology, Anna University, Chennai, where he achieved an outstanding overall percentage of 81%. 🎓 His academic prowess extends to his secondary education, showcasing exceptional performance in physics, chemistry, mathematics, and biology. 🏫
During his tenure as a Research Assistant at VIT University from 2009 to 2014, Dr. Arun Kumar Ammasi delved into innovative studies in green concrete 🌱. His research encompassed experimental investigations, evaluating the viability of substituting traditional components with coal ashes. Through meticulous analysis, he assessed concrete strength, durability, and cost-effectiveness, contributing significantly to sustainable construction practices. Dr. Ammasi’s expertise extended to developing predictive models for drying shrinkage in green concrete over a decade, enhancing long-term performance. Additionally, he pioneered the manufacture of artificial cold-bonded fly ash aggregates, a breakthrough in designing high-strength green concrete structures. 🧪🔬