Dr. Jalil Jamali | Mechanical Engineering | Best Researcher Award
Islamic Azad University | Iran
Dr. Jalil Jamali is an Assistant Professor of Mechanical Engineering at Islamic Azad University. His teaching spans undergraduate (Mechanics of Materials, Statics, Dynamics, Vibrations), master’s (Theory of Plates & Shells, Elasticity, Elastodynamics, Advanced Mathematics I, Vehicle Dynamics) and doctoral-level (Advanced Mathematics II) courses. His research interests centre on Vibrations, Dynamics, Ultrasonic Non-Destructive Testing (NDT), and Functionally Graded Materials (FGM). Over the years, he has authored multiple papers in these areas. Through his publications, he contributes to advancing methods in dynamic analysis and NDT for graded materials. He also guides students and cultivates a rigorous learning environment through both theoretical and applied courses. His experience as educator and researcher enables bridging fundamentals (mechanics and mathematics) with advanced topics (elasticity, dynamics, FGM, NDT), positioning him as a versatile scholar. His work continues to attract citations, reflecting growing recognition in his field.
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Featured Publications
Shoghl, S. N., Jamali, J., & Moraveji, M. K. (2016). Electrical conductivity, viscosity, and density of different nanofluids: An experimental study. Experimental Thermal and Fluid Science, 74, 339–346.
Behzad, M., Alvandi, M., Mba, D., & Jamali, J. (2013). A finite element-based algorithm for rubbing induced vibration prediction in rotors. Journal of Sound and Vibration, 332(21), 5523–5542.
Mousavi, S. F., Hashemabadi, S. H., & Jamali, J. (2020). Calculation of geometric flow profile correction factor for ultrasonic flow meter using semi-3D simulation technique. Ultrasonics, 106, 106165.
Rajabi, M., Ahmadian, M. T., & Jamali, J. (2015). Acoustic scattering from submerged laminated composite cylindrical shells. Composite Structures, 128, 395–405.
Goharkhah, M., Ashjaee, M., & Jamali, J. (2016). Experimental investigation on heat transfer and hydrodynamic behavior of magnetite nanofluid flow in a channel with recognition of the best models for transport properties. Experimental Thermal and Fluid Science, 68, 582–592.