Alireza Rahai | Civil Engineering | Best Researcher Award

Published on by Global Academic Awards

Prof. Dr. Alireza Rahai | Civil Engineering | Best Researcher Award

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

Publication Profile

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🏛️ Academic Employment

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.

📚 Supervision Highlights

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.

🔬 Research Focus

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.

Publication Top Notes

📘 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)

Thanesh Kumar | Fluid Dynamics | Best Researcher Award

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Dr. Thanesh Kumar | Fluid Dynamics | Best Researcher Award

Dr. Thanesh Kumar, University of technology and Applied Sciences, Nizwa, Oman

Dr. K. Thanesh Kumar is an accomplished mathematics educator and researcher with over 20 years of teaching experience across India and Oman. Currently serving as a Senior Lecturer at the University of Technology and Applied Sciences, Nizwa, Oman, he has previously held various academic roles including Associate Professor and Head of Department. Dr. Thanesh earned his Ph.D. from VIT University, Vellore. Passionate about learner-centered teaching, he has mentored undergraduate, postgraduate, and engineering students. With expertise in Engineering Mathematics, Topology, Functional Analysis, and Operation Research, he is known for integrating modern tools like MATLAB and LaTeX into mathematics instruction. 🎓📘

Publication Profile

Scopus

🎓 Education

Dr. K. Thanesh Kumar earned his Ph.D. in Mathematics from VIT University, Vellore in 2019, where he focused on advanced mathematical theories and research methodologies. He completed his M.Sc. in Mathematics with First Class from Sri Krishnadevaraya University in 2003, following his B.Sc. in 2000, also with First Class from the same institution. His earlier academic foundations were laid at VNRJ College, where he completed his Intermediate studies in 1997, and MGEMH School, completing high school in 1995—both with First Class distinctions. This solid academic journey reflects his longstanding commitment to excellence in mathematical sciences. 📐📊

💼 Experience

Dr. Thanesh Kumar brings two decades of rich teaching experience in mathematics at degree, postgraduate, and engineering levels. He currently serves as a Senior Lecturer at the University of Technology and Applied Sciences, Nizwa since May 2022. He previously worked as Associate Professor at Hyderabad Institute of Technology and Management, and as Lecturer at Al Musanna College of Technology, Oman (2015–2020). Earlier, he held teaching and leadership roles at Institute of Aeronautical Engineering and Vasundhara Women’s Degree College. His instructional portfolio spans Engineering Mathematics, Discrete Math, Topology, and Functional Analysis, underscoring his versatility in the subject. 📚🏫

🔬 Research Focus

Dr. Thanesh Kumar’s research interests lie in advanced areas of mathematics including Functional Analysis, Complex Analysis, Banach Algebra, and Operation Research. His doctoral work and teaching experience reflect a deep engagement with mathematical modeling, differential equations, and operator theory. He emphasizes applying theoretical knowledge to real-world problems, particularly in engineering and computational domains. His familiarity with tools like MATLAB, Mathematica, and Python supports his research in numerical methods and simulation-based problem solving. By integrating technology with theoretical math, his work contributes to both academic advancement and applied mathematical innovation. 📈🧮

Publication Top Notes

  • “Consequence of the direction of uniform horizontal magnetic field on nanolubricant flow over a permeable rotating disk” – Published in Modern Physics Letters B, 2024.

  • “A numerical study on the radiative heat transfer aspects of hybrid nanofluid flow past a deformable rotating cone” – Published in Multiscale and Multidisciplinary Modeling, Experiments and Design, 2024.

  • “Numerical analysis of the radiative heat transfer and fluid flow between two cylinders using a high-order efficient Probabilists’ Hermite polynomial based collocation method” – Published in Numerical Heat Transfer, Part A: Applications, 2024.

  • “The magnetic dipole-induced ternary-hybrid nanofluid flow behavior along a vertical and horizontal wall under free, mixed, and forced convection” – Published in Numerical Heat Transfer, Part A: Applications, 2024.

  • “Significance of Arrhenius activation energy and binary chemical reaction in ternary hybrid nanofluid flow over a convectively heated porous curved surface: A passive control strategy” – Published in International Journal of Modern Physics B, 2023.

  • “Influence of heat generation/absorption on mixed convection flow field with porous matrix in a vertical channel” – Published in Case Studies in Thermal Engineering, 2023.

  • “Role of ternary hybrid nanofluid in the thermal distribution of a dovetail fin with the internal generation of heat” – Published in Case Studies in Thermal Engineering, 2022.

  • “Particle shape effect on MHD steady flow of water functionalized Al₂O₃ nanoparticles over wedge” – Published in Waves in Random and Complex Media, 2022.

  • “Thermal Performance, Efficiency and optimization of a Longitudinal Fin under the Influence of Magnetic Field Using Differential Transform Method with Pade approximant” – Published in Zeitschrift für Angewandte Mathematik und Mechanik, 2022.

  • “Features of the exponential form of internal heat generation, Cattaneo–Christov heat theory on water‐based graphene–CNT–titanium ternary hybrid nanofluid flow” – Published in Heat Transfer, 2022.