Ehsan Aminvash at University of Tabriz, Iran
Dr. Ehsan Aminvash is a dedicated Ph.D. candidate in Hydraulic Structures at the University of Tabriz, Iran. With a strong foundation in civil and water engineering, his work integrates experimental and numerical methods to solve complex hydraulic challenges. His multidisciplinary research, including AI-driven hydraulic modeling and sustainable water infrastructure design, has garnered recognition in national and international journals.
🔹Professional Profile:
Scopus Profile
Orcid Profile
Google Schoolar Profile
🎓Education Background
Ehsan Aminvash earned his B.Sc. in Civil Engineering from the Islamic Azad University, Bonab Branch (2013–2017), where he ranked first with an average of 17.22/20. He continued with an M.Sc. in Water and Hydraulic Structures at the University of Maragheh (2018–2021), graduating as the top student with an 18.24/20 GPA. Currently, he is pursuing his Ph.D. at the University of Tabriz (2021–present), focusing on the hydraulic performance of baffle-equipped inclined drops using both experimental setups and numerical simulations.
💼 Professional Development
Ehsan has a rich background in civil and hydraulic engineering practices. His experience includes soil and concrete laboratory work, technical land mapping, and teaching roles at the University of Maragheh and Sahand Azad University. He has also served as a lecturer at Maragheh Girls’ Technical and Vocational College and as a teaching assistant for advanced hydraulics and erosion-sedimentation engineering at the master’s level.
🔬Research Focus
-
Hydraulic structures and energy dissipation
-
Numerical simulation and physical modeling
-
Flow hysteresis and supercritical flows
-
Sustainable river engineering and fish-pass design
-
Application of AI (SVM, KNN) in hydraulic modeling
-
Nano-materials in hydraulic structures
-
Water transmission and distribution systems
📈Author Metrics:
-
Journal Publications: 15+ published in indexed (JCR/Scopus) journals
-
Citations: Over 150+ (as of 2024)
-
H-index: Approx. 7 (subject to verification on Google Scholar or Scopus)
-
Collaborations: Worked with renowned researchers including Prof. Rasoul Daneshfaraz and Dr. John Abraham
-
Languages: Persian (native), Azerbaijani (fluent), English (intermediate), Turkish (intermediate)
🏆Awards and Honors:
-
Selected among the Top 3 Master’s Theses by the Iranian Hydraulic Association (2023)
-
Member of the Group of Brilliant Talents, University of Maragheh (2022)
-
Recognized as Top Student Researcher, University of Maragheh (2021)
-
Awarded First Rank in Academic Performance during both Bachelor’s and Master’s studies
📝Publication Top Notes
1. SVM Performance for Predicting the Effect of Horizontal Screen Diameters on the Hydraulic Parameters of a Vertical Drop
Authors: R. Daneshfaraz, E. Aminvash, A. Ghaderi, J. Abraham, M. Bagherzadeh
Journal: Applied Sciences, Volume 11, Issue 9, Article 4238 (2021)
Citations: 41
Abstract: This study leverages Support Vector Machine (SVM) modeling to predict the influence of horizontal screen diameters on hydraulic parameters in vertical drop structures. Laboratory experiments were conducted to examine flow velocity, depth, and energy dissipation.
Key Results: SVM provided high prediction accuracy with R² > 0.95. Optimal screen size enhanced energy dissipation and minimized downstream flow impact, showing SVM’s utility for hydraulic prediction tasks.
2. Experimental and Numerical Investigation for Energy Dissipation of Supercritical Flow in Sudden Contractions
Authors: R. Daneshfaraz, E. Aminvash, R. Esmaeli, S. Sadeghfam, J. Abraham
Journal: Journal of Groundwater Science and Engineering, Vol. 8, No. 4, pp. 396–406 (2020)
Citations: 27
Abstract: This paper explores supercritical flow behavior in sudden channel contractions, combining laboratory flume tests and CFD modeling. Energy dissipation mechanisms are analyzed for different contraction ratios.
Key Results: Results show effective energy loss in sudden contractions. CFD simulation accuracy was within 5% of experimental data, confirming its predictive reliability for hydraulic design.
3. Three-Dimensional Investigation of Hydraulic Properties of Vertical Drop in the Presence of Step and Grid Dissipators
Authors: R. Daneshfaraz, E. Aminvash, A. Ghaderi, A. Kuriqi, J. Abraham
Journal: Symmetry, Volume 13, Issue 5, Article 895 (2021)
Citations: 25
Abstract: Investigates the role of step and grid dissipators in controlling flow in vertical drop structures using 3D computational fluid dynamics (CFD). The aim was to improve flow stability and reduce energy.
Key Results: The hybrid configuration of steps and grids significantly enhanced energy dissipation and minimized downstream turbulence, offering practical design insights for energy-efficient drop structures.
4. Three-Dimensional Study of the Effect of Block Roughness Geometry on Inclined Drop
Authors: R. Daneshfaraz, E. Aminvash, S. Di Francesco, A. Najibi, J. Abraham
Journal: Numerical Methods in Civil Engineering, Volume 6, Issue 1, pp. 1–9 (2021)
Citations: 22
Abstract: Focuses on roughness geometries—such as cubical, pyramid, and hemispherical blocks—and their impact on flow parameters in inclined drop channels. Numerical simulation using Flow-3D was employed.
Key Results: Hemispherical blocks offered superior performance in dissipating flow energy. The findings aid in optimizing block designs for hydraulic structures subjected to high-velocity flows.
5. Laboratory Investigation of Hydraulic Parameters on Inclined Drop Equipped with Fishway Elements
Authors: R. Daneshfaraz, E. Aminvash, M. Bagherzadeh, A. Ghaderi, A. Kuriqi, et al.
Journal: Symmetry, Volume 13, Issue 9 (2021)
Citations: 19
Abstract: Examines the hydraulic performance of inclined drop structures integrated with fishway elements, promoting both flow control and aquatic habitat connectivity.
Key Results: Fishway elements improved flow uniformity and ecological compatibility by reducing excessive turbulence and maintaining migratory depth for aquatic species.
Conclusion:
Dr. Ehsan Aminvash emerges as a promising and impactful young researcher whose work addresses critical gaps in hydraulic infrastructure and environmental sustainability. His academic rigor, innovation in modeling techniques, and tangible contributions to energy dissipation and eco-compatible structures make him a top contender for the Best Researcher Award.
🎖️ Final Verdict: Highly Recommended