Eshetu Haile Gorfie | Hybrid Vehicles | Research Excellence Award

Dr. Eshetu Haile Gorfie | Hybrid Vehicles | Research Excellence Award

Researcher | Bahir Dar University | Ethiopia

Dr. Eshetu Haile Gorfie is an accomplished academic and researcher with extensive experience in teaching, research, and academic leadership within the field of mathematics. His professional experience spans undergraduate and postgraduate instruction, supervision of MSc and PhD researchers, curriculum coordination, and leadership roles such as department head and program coordinator. His research interests focus on fluid dynamics, magnetohydrodynamics, nanofluid flow, differential equations, numerical methods, and heat and mass transfer phenomena. He possesses strong research skills in mathematical modeling, analytical and numerical analysis, scientific computing, and scholarly publishing, with contributions to high-impact international journals. His awards and honors recognize excellence in teaching, conference leadership, and academic service. Overall, his work demonstrates sustained impact through research productivity, mentorship, and institutional contribution.He has acheived  357 Citations, 19 Documents, 9 h-index.

Citation Metrics (Scopus)

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357
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19
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9
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Featured Publications

Rasool Ghobadian | Automobile Engineering | Best Researcher Award

Prof. Dr. Rasool Ghobadian | Automobile Engineering | Best Researcher Award

University Professor  |  Razi university  |  Iran

Dr. Rasoul Ghobadian is a distinguished academic and researcher in the field of water engineering, specializing in advanced hydraulics, sediment transport, flood modeling, and computational hydraulics. As a professor at the Department of Water Engineering, Faculty of Agriculture, Razi University of Kermanshah, he has contributed extensively to both academia and industry through innovative research, design expertise, and teaching excellence. His professional experience spans over two decades, including collaboration with leading consulting firms such as Saman Abraha Tose, Alborz Studies, and Dezab Consulting Engineers, where he participated in large-scale irrigation and hydraulic infrastructure projects involving surface irrigation networks, diversion dams, and intake systems. Dr. Ghobadian’s research integrates theoretical modeling with practical applications, focusing on seepage loss estimation, flood routing, and the hydraulic performance of river confluences and hydraulic structures, with publications in reputed international journals such as Journal of Hydrologic Engineering, Water SA, and Alexandria Engineering Journal. His expertise encompasses computational fluid dynamics, numerical modeling, and water resource system design. Recognized for his excellence, he has received multiple awards including Best Researcher and Exemplary Teaching Professor from the Faculty of Agriculture and the Department of Water Engineering. His research has greatly influenced sustainable water resource management and hydraulic engineering education. Dr. Ghobadian’s scholarly achievements continue to advance the global understanding of hydraulic systems and water infrastructure optimization. He has achieved 136 Citations,  30 Documents, 6 h-index.

Profiles: Google Scholar  ORCID  |  Scopus

Featured Publications 

  1. Ghobadian, R., & Bajestan, M. S. (2007). Investigation of sediment patterns at river confluence. [Unpublished study]. Citations: 51

  2. Ghobadian, R., & Mohammadi, K. (2011). Simulation of subcritical flow pattern in 180° uniform and convergent open-channel bends using SSIIM 3-D model. Water Science and Engineering, 4(3), 270–283. Citations: 35

  3. Ghobadian, R., & Meratifashi, E. (2012). Modified theoretical stage-discharge relation for circular sharp-crested weirs. Water Science and Engineering, 5(1), 26–33. Citations: 21

  4. Ghobadian, R. (2007). Investigation of flow, scouring and sedimentation at river-channel confluences. Ph.D. Thesis, Department of Hydraulic Structures, Shahid Chamran University of Ahvaz. Citations: 13

  5. Mobara, S. E. H., Ghobadian, R., Rouzbahani, F., & Đorđević, D. (2021). Numerical simulation of submarine non-rigid landslide by an explicit three-step incompressible smoothed particle hydrodynamics. Engineering Analysis with Boundary Elements, 130, 196–208. Citations: 12

Dr. Rasoul Ghobadian’s pioneering research in hydraulic and sediment transport modeling enhances the understanding of river dynamics, erosion, and flood management systems. His work bridges scientific innovation with engineering practice, contributing to the sustainable design of hydraulic structures, water resource optimization, and disaster resilience for communities and industries worldwide.

 

Eshetu Gorfie | Hybrid Vehicles | Best Researcher Award

Assoc. Prof. Dr. Eshetu Gorfie | Hybrid Vehicles | Best Researcher Award

Researcher | Bahir Dar University | Ethiopia

Dr. Eshetu Haile is a distinguished mathematician and academician who has made remarkable contributions to mathematical sciences through his extensive teaching, research, and leadership experience. With over two decades of service at Bahir Dar University, Ethiopia, he has been instrumental in shaping the academic and research culture within the Department of Mathematics. His professional career reflects excellence in teaching both undergraduate and postgraduate students, supervising more than 30 MSc and 8 PhD candidates, and providing strong mentorship to emerging researchers. Dr. Haile’s research interests encompass fluid dynamics, differential equations, complex analysis, special functions, and fractional calculus, areas in which he has published more than 37 peer-reviewed papers in reputed international journals. His research skills include mathematical modeling, computational fluid dynamics, analytical methods, and the application of advanced numerical techniques in solving real-world scientific and engineering problems. Beyond academia, he has demonstrated outstanding leadership as Head of the Mathematics Department, Coordinator of Distance Education Programs, and Chair of various institutional committees, contributing significantly to academic development and policy formation. His dedication to quality education and research excellence has been recognized through multiple honors, including Best Teacher of the Year and appreciation awards for leadership and conference organization. Dr. Haile’s scholarly achievements continue to influence both theoretical and applied mathematics, advancing knowledge in modern fluid mechanics and computational mathematics. His commitment to fostering academic innovation and community engagement underscores his vital role in Ethiopia’s higher education landscape and the global scientific community.He has acheived  356 Citations, 19 Documents, 9 h-index.

Profiles:  ORCID | Research Gate | Scopus

Featured Publications

1. Moltot, A. T., Haile Gorfie, E., Zergaw, G. A., & Asress, H. D. (2025). Influences of variable thermal conductivity, viscous dissipation, and Cattaneo–Christov heat and mass fluxes on MHD tangent hyperbolic ternary hybrid nanofluid flow over a stretching sheet. Engineering Reports.

2. Eneyew, E., Haile, E., Walelgn, A., & Tsegaw, E. (2025, May 14). Dual-phase thermal and concentration relaxation effects on magneto-viscoelastic Williamson nanofluid: A Cattaneo–Christov flux approach. Preprint.

3. Haile Gorfie, E., Moltot, A. T., Zergaw, G. A., & Dessie, H. (2025). Influence of Joule heating and nonlinear thermal radiation on the electrical conductivity of second-grade hybrid nanofluid flow over a stretching cylinder. Engineering Reports.

4. Tsegaye, A., Haile, E., Zergaw, G. A., & Dessie, H. (2025, March 31). Effect of non-linear thermal radiation and Cattaneo–Christov heat and mass fluxes on the flow of Williamson hybrid nanofluid over a stretching porous sheet [version 2; peer review: 2 approved, 2 approved with reservations]. F1000Research.

5. Moltot, A. T., Haile Gorfie, E., Zergaw, G. A., & Dessie, H. (2025, March 10). Unsteady MHD flow of tangent hyperbolic ternary hybrid nanofluid in a Darcy–Forchheimer porous medium over a permeable stretching sheet with variable thermal conductivity [version 2; peer review: 3 approved]. F1000Research.