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

Zhi Zong | Computational Mechanics | Best Researcher Award

Published on by Metallurgical Engineering

Prof. Dr. Zhi Zong | Computational Mechanics | Best Researcher Award

Professor at Fuyao University of Science and Technology | China

Prof. Dr. Zhi Zong is a leading researcher whose work integrates structural mechanics, fluid dynamics, computational modeling, and probabilistic engineering to advance the understanding of complex marine and mechanical systems. With 5,620 citations, 334 research documents, and a Scopus h-index of 38, his publications demonstrate both volume and influence within international scientific communities. His contributions include formulating high-accuracy Differential Quadrature (DQ) computational methods, such as localized, complex, and variable-order DQ techniques, which have improved the numerical simulation capabilities used in ocean engineering, ship mechanics, and structural analysis. He has made pioneering advances in uncertainty quantification, notably by identifying the variability of ship structural vibrations caused by geometric imperfections and by developing an asymptotically unbiased entropy estimator for probability distribution modeling-an outcome that has strengthened probabilistic mechanics applications. His Random Pore Model for sea ice represents an important development in capturing realistic mechanical and physical behaviors of ice, contributing to engineering design, climate studies, and environmental modeling. Beyond these theoretical achievements, Professor Zong has authored over 230 SCI-indexed papers and several specialized monographs addressing complex topics such as underwater explosion modeling, isolated water waves, and bubble dynamics. His research has been incorporated into practical marine engineering solutions and serves as a foundation for ongoing advancements in computational methods and ocean systems design. His body of work demonstrates consistent innovation, scientific rigor, and global relevance, making him a strong candidate for recognition under the Best Researcher Award.

Profiles : Scopus | Google Scholar

Featured Publications

Liu, M. B., Liu, G. R., Lam, K. Y., & Zong, Z. (2003). Smoothed particle hydrodynamics for numerical simulation of underwater explosion. Computational Mechanics, 30(2), 106–118. Cited by: 370.

Liu, M. B., Liu, G. R., Zong, Z., & Lam, K. Y. (2003). Computer simulation of high explosive explosion using smoothed particle hydrodynamics methodology. Computers & Fluids, 32(3), 305–322. Cited by: 324.

Zong, Z., & Zhang, Y. (2009). Advanced differential quadrature methods. Chapman and Hall/CRC. Cited by: 259.

Chen, Z., Zong, Z., Liu, M. B., Zou, L., Li, H. T., & Shu, C. (2015). An SPH model for multiphase flows with complex interfaces and large density differences. Journal of Computational Physics, 283, 169–188. Cited by: 257.

Zhang, Y. Y., Wang, C. M., Duan, W. H., Xiang, Y., & Zong, Z. (2009). Assessment of continuum mechanics models in predicting buckling strains of single-walled carbon nanotubes. Nanotechnology, 20(39), 395707. Cited by: 155.