Sergey Shcheklein | Power Train Engineering | Best Research Article Award

Best Research Article Award

Sergey Shcheklein —  Federal University, Russia

Sergey Shcheklein
Affiliation Federal University
Country Russia
Scopus ID 6505784680
Documents 160
Citations 1,345
h-index 18
Subject Area Power Train Engineering
Event Global Automobile Award
ORCID 0000-0003-2140-0321

The Best Research Article Award recognizes scholarly contributions that demonstrate research quality, technical relevance, and potential impact within their respective disciplines. Sergey Shcheklein is associated with research in power train engineering, including investigations into heat transfer and thermal processes. His research article, Experimental Study on Heat Transfer for a Sphere Levitated within a Channel, addresses an experimental investigation of heat transfer under a specialized levitation condition. The recognition highlights the importance of experimental research in advancing engineering knowledge and supporting the development of efficient thermal systems. [1] [2]

Abstract

Sergey Shcheklein’s research profile encompasses engineering investigations relevant to power train engineering and thermal sciences. His article, Experimental Study on Heat Transfer for a Sphere Levitated within a Channel, focuses on the experimental examination of heat transfer involving a levitated spherical body within a channel. Such investigations contribute to understanding the thermal behavior of bodies under controlled conditions and may provide useful insights for engineering applications involving fluid flow, thermal management, and heat exchange. Experimental research in this area supports the validation of theoretical models and the development of more reliable engineering systems. [1]

Keywords

Best Research Article Award, Sergey Shcheklein, Power Train Engineering, Experimental Heat Transfer, Thermal Engineering, Sphere Levitation, Heat Transfer in Channels, Fluid Mechanics, Thermal Management, Engineering Research, Global Automobile Award. [1]

Introduction

Power train engineering is an important field within automotive and mechanical engineering, encompassing the design, analysis, and optimization of systems responsible for generating and transmitting power. Thermal processes are central to the performance and reliability of many engineering systems, making heat transfer research an essential component of engineering development. Experimental investigations provide valuable information about physical behavior that may not be fully represented by theoretical models alone. [3]

Research Profile

Sergey Shcheklein is identified with the Federal University in Russia and is associated with the subject area of power train engineering. His academic profile, as provided for this recognition article, includes 160 documents, 1,345 citations, and an h-index of 18. These bibliometric indicators offer quantitative perspectives on publication activity and citation-based research influence. They should be interpreted in the context of the researcher’s subject area, publication history, and the characteristics of the relevant scholarly community. [1]

Research Contributions

The article Experimental Study on Heat Transfer for a Sphere Levitated within a Channel represents a research contribution in the area of experimental heat transfer. Its subject involves the thermal behavior of a spherical body maintained in a levitated state within a channel, a configuration that can be examined to understand heat exchange and associated physical processes. Experimental studies of this type are relevant to the development and evaluation of thermal models and engineering systems. [1]

Publications

The publication record associated with Sergey Shcheklein includes research in engineering and related scientific fields. The supplied bibliometric profile reports 160 documents. Publication activity provides an indication of scholarly output, while individual research articles offer a more detailed basis for evaluating the scientific questions addressed, the methods employed, and the contributions made to a specific discipline. [1]

Research Impact

Research impact can be examined through publication output, citation activity, methodological contributions, and the relevance of research findings to subsequent scientific and engineering work. The supplied profile for Sergey Shcheklein reports 1,345 citations and an h-index of 18. These indicators provide a quantitative summary of scholarly visibility, although they do not independently establish the quality or practical significance of an individual research article. [1]

Award Suitability

The Best Research Article Award recognizes scholarly work that demonstrates relevance to its discipline, methodological rigor, and a meaningful contribution to scientific understanding. Sergey Shcheklein’s identified research article addresses experimental heat transfer, a subject with relevance to thermal sciences and engineering applications. Its research focus provides a basis for consideration within an academic recognition program associated with automobile and engineering research. [3]

Conclusion

Sergey Shcheklein’s research profile reflects scholarly activity in power train engineering and related engineering disciplines. His identified article, Experimental Study on Heat Transfer for a Sphere Levitated within a Channel, addresses an experimental investigation relevant to heat transfer and thermal sciences. The research topic contributes to the broader study of physical processes that inform engineering analysis and system development. [1]

References

  1. Elsevier. (n.d.). Scopus author details: Sergey Shcheklein, Author ID 6505784680. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=6505784680
  2. ORCID. (n.d.). Sergey Shcheklein: ORCID profile. ORCID.
    https://orcid.org/0000-0003-2140-0321
  3. Global Automobile Award. (n.d.). Global Automobile Award: Official website and award information.
    https://automobileaward.com/

Devaraj E | Automobile Engineering | Innovative Research Award

Innovative Research Award

Devaraj E — CMR University, India

Devaraj E
Affiliation CMR University
Country India
Google Scholar gB29FcUAAAAJ&hl=en
Documents 12
Citations 18
h-index 3
Subject Area Automobile Engineering
Event Global Automobile Engineering

The Innovative Research Award recognizes research contributions that demonstrate originality, technical relevance, and potential value to a particular field of study. This academic recognition profile presents the available scholarly information for Devaraj E of CMR University, India, whose stated subject area is Automobile Engineering. The profile summarizes the supplied publication and citation indicators and outlines the relevance of automotive research to engineering development, vehicle performance, safety, and sustainable transportation. The information is intended as a structured academic overview rather than an independent verification of award selection or research achievements. [1]

Abstract

This article presents an academic recognition profile for Devaraj E, affiliated with CMR University in India, in the subject area of Automobile Engineering. According to the information supplied for this profile, the researcher has 12 documents, 18 citations, and an h-index of 3, as reported in the provided Google Scholar profile information. These indicators offer a concise view of the listed scholarly record but do not independently establish research quality, originality, or practical impact. [1]

Keywords

  • Automobile Engineering
  • Automotive Research
  • Engineering Innovation
  • Vehicle Design and Performance
  • Automotive Safety
  • Sustainable Transportation
  • Scholarly Publications
  • Research Impact

Introduction

Automobile Engineering is an interdisciplinary engineering field concerned with the design, development, analysis, manufacture, and evaluation of road vehicles and their associated systems. It draws on mechanical engineering, materials science, electronics, control systems, computer-aided design, and energy technologies. Contemporary research in the field addresses vehicle efficiency, powertrain development, safety, emissions, reliability, and the integration of intelligent systems.

Research Profile

Devaraj E is identified in the supplied information as a researcher affiliated with CMR University, India, with Automobile Engineering listed as the principal subject area. The following bibliometric values are reproduced from the supplied data and should be checked against the current profile before formal publication because citation counts and h-index values can change over time. [1]

Research Contributions

Automobile engineering research can contribute to improvements in vehicle design, system reliability, energy efficiency, safety, manufacturing, and environmental performance. The nature and significance of any particular contribution should be established through the researcher’s actual publications, documented methods, experimental or simulation results, and independent validation. As individual paper titles and project descriptions were not included in the supplied information, this section describes relevant disciplinary areas rather than attributing specific findings to Devaraj E.

Publications

The supplied profile data lists 12 documents. The full bibliographic details of those documents, including titles, publication dates, journal or conference names, author order, and digital object identifiers (DOIs), were not provided in the input. Accordingly, a verified publication-by-publication bibliography cannot be constructed from the available information alone.

Research Impact

Research impact can be considered through several complementary dimensions: scholarly influence, methodological contribution, engineering application, reproducibility, collaboration, and broader economic or societal relevance. Citation counts indicate that other indexed works have cited a publication or author record, but citations alone cannot determine whether the influence is positive, substantial, or practically significant.

Award Suitability

The Innovative Research Award profile is associated with the Global Automobile Engineering event. The researcher’s stated subject area aligns broadly with the event’s automotive engineering focus. However, academic subject alignment alone does not establish eligibility, selection, or receipt of an award. Such determinations depend on the organizer’s published criteria, the application submitted, supporting evidence, and the outcome of the evaluation process.

Conclusion

This academic recognition profile summarizes the supplied information for Devaraj E of CMR University, India, in Automobile Engineering. The provided bibliometric figures are 12 documents, 18 citations, and an h-index of 3. These figures offer a concise description of the reported scholarly record but require verification against the current Google Scholar profile before publication.

References

  1. Google Scholar. (n.d.). Devaraj E — Google Scholar author profile. The supplied author identifier and bibliometric information should be checked against the current profile.
    https://scholar.google.com/citations?user=gB29FcUAAAAJ&hl=en
  2. Global Automobile Award. (n.d.). Official award website. Consult the organizer’s website for current event information and applicable award criteria. The existence of a website does not independently verify any individual’s award status.
    https://automobileaward.com/

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.

 

Suresh Kumar Sahani | Automotive Software | Best Researcher Award

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  471 Citations, 35 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.