Specialist, institute of hydro engineering polish academy of science, Poland ✨
Amin Mahdavi-Meymand, MSc, is a dedicated specialist in hydro-engineering and structural dynamics at the Institute of Hydro-Engineering of the Polish Academy of Sciences. With a strong academic and professional background in water structures and wave mechanics, he focuses on innovative solutions to complex engineering challenges. He is fluent in Persian and English and actively contributes to cutting-edge research in his field.
Profile
Scopus
Education 🎓
Amin Mahdavi-Meymand is currently pursuing his Ph.D. in Civil Engineering, Geodesy, and Transport at the Tri-city Doctoral School of the Polish Academy of Sciences under the supervision of Wojciech Sulisz. He holds an M.S. in Agriculture Engineering specializing in Water Structures from Shahid Chamran University of Ahwaz, where he achieved a GPA of 3.47. His master’s dissertation focused on Fuzzy and Neural-Fuzzy Modeling of Aerator Structure Geometric and Chute Hydraulic in the Discharge of Air Flow, supervised by Dr. Javad Ahadian. He also earned a B.A. in Agriculture Engineering with a focus on Water from Shahid Bahonar University of Kerman, achieving a GPA of 3.18 under the guidance of Dr. Mohammad Zounemat-Kermani.
Experience 🏗️
Amin has been actively engaged in research and development in wave mechanics and structural dynamics. His work combines theoretical insights and practical applications, addressing challenges such as sediment transport, hydraulic modeling, and dam water-level variations.
Research Interests 🔬
Amin Mahdavi-Meymand’s research interests span innovative applications of artificial intelligence in water engineering, focusing on enhancing predictive and analytical models. He specializes in neural-fuzzy modeling to optimize hydraulic systems, providing deeper insights into complex water flow behaviors. His work also delves into scour depth prediction and sediment transport, critical for maintaining structural integrity in aquatic environments. Additionally, Amin explores the use of meta-heuristic algorithms in hydro-structural simulation, aiming to improve the efficiency and accuracy of water resource management solutions.
Awards 🏆
Amin has been recognized for his innovative approaches to water structure engineering and his contributions to the development of advanced numerical models in hydro-dynamics.
Publications Top Notes 📚
Depth Prediction in Sand Beds using Artificial Neural Networks and ANFIS Methods (Indian Journal of Science and Technology, 2015) Link
Numerical Modeling of Scour Depth at Side Piers of the Bridge (Computational and Applied Mathematics, 2015) Link
Estimating Incipient Motion Velocity of Bed Sediments using Different Data-driven Methods (Applied Soft Computing, 2018) Link
Hybrid Meta-heuristics Artificial Intelligence Models in Simulating Discharge Passing the Piano Key Weirs (Journal of Hydrology, 2018) Link
Evaluating Performance of Meta-Heuristic Algorithms and Decision Tree Models in Simulating Water Level Variations of Dams’ Piezometers (Journal of Hydraulic Structures, 2018) Link
Conclusion
Amin Mahdavi-Meymand is a strong contender for the Best Researcher Award due to his innovative contributions to water structure engineering, advanced modeling techniques, and academic dedication. With a focus on expanding his research scope and enhancing his global presence, he is poised to become a leading figure in hydraulic and civil engineering. His potential and achievements make him a noteworthy candidate for the award. 🌟