Saleem Nasir | Applied Mathematics | Best Researcher Award

Published on by Metallurgical Engineering

Best Researcher Award

Saleem Nasir
Khalifa University of Science and Technology, United Arab Emirates

Saleem Nasir
Affiliation Khalifa University of Science and Technology
Country United Arab Emirates
Scopus ID 57194080137
Documents 69
Citations 2,383
h-index 31
Subject Area Applied Mathematics
Event Metallurgical Engineering Awards
ORCID 0000-0002-4842-2785

Saleem Nasir is a researcher in applied mathematics whose work connects mathematical modelling, computational fluid dynamics, nanofluid mechanics, heat-transfer analysis and computational approaches to engineering problems. He is affiliated with Khalifa University of Science and Technology in Abu Dhabi, where his research has included mathematical and numerical investigations of fluid flow, thermal transport, magnetohydrodynamics and related multiphysics phenomena. His institutional profile identifies research interests including nanofluid mechanics, computational fluid dynamics, mathematical modelling, heat-transfer analysis and artificial neural networks. [1]

Abstract

Saleem Nasir’s research profile is centered on applied mathematical approaches to fluid mechanics and engineering transport phenomena. His work encompasses computational fluid dynamics, nanofluid mechanics, mathematical modelling, heat and mass transfer, magnetohydrodynamic flow and the application of artificial neural networks to nonlinear engineering problems. The institutional record describes his academic background in applied mathematics and identifies research activity spanning analytical, numerical and computational methods. [1] Published studies associated with his profile include investigations of hybrid nanofluids, thermal transport, chemical reactions, electromagnetic effects and intelligent computational modelling. [3] [4] [5]

Keywords

Applied mathematics; computational fluid dynamics; mathematical modelling; nanofluid mechanics; heat transfer; mass transfer; magnetohydrodynamics; nonlinear fluid flow; artificial neural networks; thermal transport; numerical simulation; engineering mathematics.

Introduction

Applied mathematics provides mathematical frameworks for representing, analyzing and solving problems arising in physical sciences and engineering. Within this broad field, computational modelling and numerical simulation are frequently used to examine systems in which analytical solutions are difficult to obtain. Saleem Nasir’s research is positioned at this interface, particularly in the modelling of fluid flow and thermal transport phenomena. His institutional biography identifies fluid dynamics as a major component of his doctoral and subsequent research activity. [1]

Research Profile

According to the institutional profile, Nasir is a Postdoctoral Researcher at Khalifa University of Science and Technology. His academic training includes undergraduate and master’s study in mathematics and a doctoral degree in applied mathematics, with doctoral research focused on fluid dynamics. His research interests include nanofluid mechanics, computational fluid dynamics, mathematical modelling, heat-transfer analysis and artificial neural networks. [1]

Research Contributions

A recurring theme in Nasir’s research is the mathematical and computational analysis of nanofluid flow and thermal behaviour. His published work has examined hybrid and advanced nanofluids under conditions involving chemical reactions, radiation, energy sources and electromagnetic effects. These studies use mathematical formulations and numerical approaches to investigate the coupled behaviour of momentum, temperature and concentration fields. [5] [4]

Publications

Nasir’s publication record includes peer-reviewed studies addressing mathematical modelling, nanofluids, thermal transport, fluid dynamics and computational intelligence. The institutional record lists research outputs associated with Khalifa University, while bibliographic databases provide additional publication and citation information. [1] [2]

  1. Nasir, S., Berrouk, A. S., and Aamir, A. Modeling nanomaterial transport with chemical reaction and thermal radiation effects using intelligent learning techniques. Journal of Thermal Analysis and Calorimetry, 2026. [3]

Research Impact

Research impact can be considered through multiple complementary dimensions, including scholarly output, citation activity, methodological development and application to engineering problems. The supplied Scopus metrics of 69 documents, 2,383 citations and an h-index of 31 indicate a substantial indexed publication and citation record for the profile presented here. These indicators should be interpreted alongside publication quality, research originality, collaboration and field-specific citation practices. [2] [3] [4]

Award Suitability

The profile demonstrates several characteristics relevant to consideration for a Best Researcher Award. These include an established academic specialization in applied mathematics, an identifiable institutional affiliation, a documented body of peer-reviewed research, and a research program addressing computational and mathematical challenges in fluid and thermal systems. [1][4]

Conclusion

Saleem Nasir’s academic profile reflects a sustained research focus in applied mathematics and its application to fluid mechanics, heat transfer and computational engineering. His work spans mathematical modelling, numerical simulation, nanofluid mechanics, magnetohydrodynamics and artificial-intelligence-assisted analysis. The combination of institutional research activity, peer-reviewed publications and the supplied bibliometric indicators provides a documented basis for considering his profile within a Best Researcher Award framework. [1] [2]

References

    1. Khalifa University of Science and Technology. (n.d.). Dr. Saleem Nasir — Post Doctoral Fellow, Mechanical & Nuclear Engineering. Khalifa University.
      https://www.ku.ac.ae/college-people/saleem-nasir
    2. Scopus. (n.d.). Saleem Nasir — Scopus Research profile. Khalifa University.
      https://www.scopus.com/authid/detail.uri?authorId=57194080137
    3. Nasir, S., Berrouk, A. S., and Gul, T. (2024). Analysis of chemical reactive nanofluid flow on stretching surface using numerical soft computing approach for thermal enhancement. Engineering Applications of Computational Fluid Mechanics, 18(1), 2340609.
      https://doi.org/10.1080/19942060.2024.2340609
    4. Nasir, S., Berrouk, A. S., Gul, T., and Ali, A. (2023). Develop the artificial neural network approach to predict thermal transport analysis of nanofluid inside a porous enclosure. Scientific Reports, 13, 21039.
      https://doi.org/10.1038/s41598-023-48412-x
    5. Nasir, S., Berrouk, A. S., and collaborators. (2023). Numerical and intelligent neuro-computational modelling with Fourier’s energy and Fick’s mass flux theory of 3D fluid flow through a stretchable surface.
      https://doi.org/10.1080/19942060.2023.2270675

Muidh Algahtani | Optimization | Research Excellence Award

Published on by Metallurgical Engineering

Assist. Prof. Dr. Muidh Algahtani | Optimization | Research Excellence Award

Assistant Professor at University of Tabuk | Saudi Arabia

Assist. Prof. Dr. Muidh Algahtani demonstrates emerging research excellence in industrial engineering, with scholarly work focused on operations research, systems optimization, quality management, and engineering decision-making. His research emphasizes practical, data-driven solutions that improve operational efficiency, safety, and resource utilization across industrial and organizational systems. By integrating analytical modeling, simulation techniques, and management science principles, his publications contribute to applied problem-solving in complex engineering environments. According to his Scopus profile, he has 3 published documents, with 2 citations and an h-index of 1, reflecting early but meaningful academic impact and a strong foundation for sustained research growth aligned with the objectives of the Research Excellence Award.

Citation Metrics ( Google Scholar )

5

4

3

2

0

Citations
2

Documents
3

h-index
1

Featured Publications

Veluchamy M | MCDM Techniques | Best Researcher Award

Published on by Metallurgical Engineering

Mr. Veluchamy M | MCDM Techniques | Best Researcher Award

Ph.D. Research Scholar at National Institute of Technology Tiruchirappalli | India

Mr. Veluchamy M is a Ph.D. Research Scholar in the Department of Production Engineering at the National Institute of Technology, Tiruchirappalli, India. His academic foundation in mechanical and manufacturing engineering has shaped his strong focus on additive manufacturing, materials characterization, and surface engineering. His research centers on improving the structural integrity and performance of additively manufactured stainless steel (SS316L) parts through innovative post-processing techniques such as heat treatment and laser shock peening. He has contributed to advancing scientific understanding of how microstructural and surface modifications influence mechanical, corrosion, and tribological behaviors of laser-melted materials. Veluchamy has published five research papers in reputed international journals indexed in SCIE and ESCI, including Industrial Lubrication & Tribology, Surface Review and Letters, and Journal of Materials Engineering and Performance. His studies also integrate computational and experimental approaches, applying MCDM techniques for performance estimation under complex conditions. His work provides significant implications for producing high-performance materials suitable for engineering and biomedical applications. With a citation count of 9, five Scopus-indexed publications, and an h-index of 2, his academic output reflects steady and meaningful progress in an emerging research domain. Through his investigations into material enhancement techniques and surface integrity optimization, Veluchamy M demonstrates strong research potential and technical expertise, aligning with the objectives of the Best Researcher Award in Metallurgical Engineering.

Profile : Google Scholar | ORCID

Featured Publiations

Veluchamy, M., Somasundaram, K., & Satheeshkumar, V. (2024). Investigations on tribological behavior under lubricated condition of post heat treated additively manufactured SS316L parts. Industrial Lubrication and Tribology, 76(7/8), 1003–1014. Cited by: 6

Veluchamy, M., & Somasundaram, K. (2025). Influence of laser shock peening on the tribological behavior of additively manufactured SS316L. Surface Review and Letters. Cited by: 2

Veluchamy, M., & Kumanan, S. (2025). Estimation of tribological performance of selective laser melted SS316L under lubricated conditions using MCDM techniques. Multiscale and Multidisciplinary Modeling, Experiments and Design, 8(8), 369. Cited by: 1

Veluchamy, M., & Kumanan, S. (2025). Effect of double-side laser shock peening on tensile behavior of selective laser-melted 316L SS parts. Journal of Failure Analysis and Prevention, 1–15.

Veluchamy, M., & Kumanan, S. (2025). Microstructural and mechanical characterization of heat-treated and laser shock-peened SS316L fabricated by selective laser melting. Journal of Materials Engineering and Performance, 1–21.