Rasool Ghobadian | Automobile Engineering | Best Researcher Award

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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 [Unpublished study].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.

 

Suresh Kumar Sahani | Automotive Software | Best Researcher Award

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Dr. Suresh Kumar Sahani | Automotive Software | Best Researcher Award

Assistant Professor  |  Rajarshi Janak University   |  Nepal

Dr. Suresh Kumar Sahani is a distinguished academician and researcher specializing in applied mathematics, numerical methods, and computational modeling, currently serving as an Assistant Professor in the Faculty of Science, Technology, and Engineering at Rajarshi Janak University, Nepal. His academic journey reflects a profound commitment to advancing mathematical applications in social sciences, cultural modeling, and engineering systems. With a rich teaching experience spanning over a decade at Tribhuvan University’s M.I.T. and Janakpur campuses, he has contributed significantly to shaping the academic landscape in Nepal. His research interests lie in numerical optimization, machine learning integration, cultural dynamics simulation, reliability theory, and applied statistical modeling for industrial and societal systems. He has authored numerous high-impact research papers published in Q1 international journals such as Journal of Posthumanism, Linguistic and Philosophical Investigations, Review of Contemporary Philosophy, and Fuel Cells Bulletin, demonstrating multidisciplinary expertise that bridges mathematics with cultural and engineering contexts. His work on numerical simulations of cultural value conflicts, optimization of educational programs, and machine learning applications for social media analytics reflects a pioneering approach to problem-solving through mathematical innovation. Dr. Sahani’s research skills encompass numerical analysis, Laplace transform, Runge-Kutta methods, logistic regression, and computational statistics, underpinned by a deep understanding of data interpretation and model validation. He has been recognized for his scholarly contributions and academic leadership, consistently aligning mathematical theory with real-world utility in cultural, industrial, and digital domains. His pursuit of postdoctoral research further emphasizes his dedication to innovation and academic excellence. With a vision to integrate interdisciplinary knowledge and advance the global academic discourse, Dr. Sahani continues to influence both research and education in applied mathematics. He has achieved  452 Citations, 32 Documents, 8 h-index.

Profiles:  ORCID  |  Scopus

Featured Publications 

1. Mahato, A. K., Das, R., & Sahani, S. K. (2025, June 27). Mathematical and computational techniques for sustainable agricultural development in Nepal. Rajarshi Janak University Research Journal, 3(1).

2. Gautam, H., Sahani, S. K., Mandal, D. N., Paudel, M. P., & Sahani, K. (2024). A revision of relaxed steepest descent, gradient descent, modified ellipsoid, David-Fletcher-Powell variable metric, Newton’s, and Fletcher-Reeves conjugate methods from the dynamics on an invariant manifold: A journey of mathematical optimization. African Journal of Biological Sciences, 6(5), 2175–2187.

3. Pandey, B. K., Pandey, D., & Sahani, S. K. (2024). Autopilot control unmanned aerial vehicle system for sewage defect detection using deep learning. Engineering Reports, 6(2).

4. Poudel, M. P., Pahari, N. P., Sahani, S. K., Basnet, G. B., & Poudel, R. P. (2024). Generalization of classical summation relation of certain Appell’s double hypergeometric functions associated with theory of approximation. Communications on Applied Nonlinear Analysis, 31, 305.

5. Sah, B. K., & Sahani, S. K. (2024). Poisson–New Linear–Exponential Distribution. African Journal of Biological Sciences, 6(5), 64–73.

Dr. Suresh Kumar Sahani’s research bridges mathematical theory and real-world applications to address societal, industrial, and environmental challenges. His innovative use of computational and numerical optimization methods supports sustainable agricultural development, intelligent automation, and advanced data modeling. By integrating mathematics with engineering and social systems, his work contributes significantly to global progress in science-driven sustainability and technological innovation.