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

Mohamed Othman | Thermoelasticity | Innovative Research Award

Published on by Metallurgical Engineering

Prof. Mohamed Othman | Thermoelasticity | Innovative Research Award

Professor at Zagazig University Faculty of Science, Egypt

Prof. Mohamed Othman is a distinguished mathematician recognized for impactful contributions to thermoelasticity, thermoelastic diffusion, applied mathematics, and continuum mechanics. His scholarly profile demonstrates exceptional academic productivity through extensive international journal publications and strong global citation visibility. His research has significantly influenced mathematical modeling and theoretical mechanics, particularly in generalized thermoelastic theories and wave propagation studies. He is widely acknowledged for advancing analytical and computational approaches in applied mathematics. In addition to research excellence, he has played a major role in academic mentorship, editorial activities, and scientific peer review, contributing extensively to the growth and international visibility of mathematical sciences research communities worldwide.

Professional Profiles

Education

Prof. Mohamed Othman possesses a strong academic foundation in mathematics and applied mathematical sciences, with advanced specialization in thermoelasticity, mathematical physics, and continuum mechanics. His educational background supported the development of expertise in analytical modeling, differential equations, and applied mechanics. Through rigorous academic training, he established deep knowledge in mathematical theories relevant to elasticity, diffusion processes, and thermal wave propagation. His scholarly development enabled significant contributions to advanced mathematical research and interdisciplinary scientific studies. Continuous academic engagement, scientific collaborations, and research-oriented learning have strengthened his expertise in theoretical and applied mathematics, positioning him as a respected contributor to global mathematical and thermoelasticity research communities.

Professional Experience

Prof. Mohamed Othman has extensive academic and research experience in mathematics, thermoelasticity, and applied mechanics. His professional career reflects long-standing involvement in higher education, advanced scientific research, postgraduate supervision, and scholarly publishing. He has supervised numerous postgraduate researchers, contributing significantly to the development of emerging scientists in mathematical sciences. His experience includes editorial responsibilities in reputed international journals and active participation in peer-review activities for a wide range of scientific publications. He has consistently contributed to theoretical advancements in thermoelastic diffusion and generalized thermoelasticity. His academic leadership, research guidance, and international scientific engagement have strengthened his reputation as a highly respected researcher in applied mathematics and mechanics.

Research Interest

Prof. Mohamed Othman’s research primarily focuses on thermoelasticity, thermoelastic diffusion, generalized thermoelastic theories, applied mathematics, continuum mechanics, and wave propagation phenomena. His work emphasizes analytical and computational modeling of thermal and elastic interactions in complex materials and structures. He has contributed extensively to mathematical formulations involving elasticity theory, thermal stress analysis, and diffusion-related physical processes. His studies explore advanced mathematical methods for solving coupled field problems and understanding material behavior under thermal influences. His research also addresses theoretical mechanics, differential equations, and mathematical physics applications. Through interdisciplinary mathematical modeling, his work has significantly advanced scientific understanding in thermoelastic systems and applied mechanics research.

Award and Honor

Prof. Mohamed Othman has received significant academic recognition for his outstanding contributions to mathematics and thermoelasticity research. His scholarly achievements are reflected through exceptional citation impact, a high h-index, and sustained international research visibility. He has been recognized among globally influential scientists in applied mathematics and related scientific disciplines. His professional standing is strengthened through memberships in respected mathematical societies and participation in editorial and peer-review activities for reputed international journals. His extensive publication record and influential research contributions have earned wide academic respect within the scientific community. These honors collectively demonstrate his enduring impact on mathematical sciences, thermoelasticity theory, and advanced analytical research methodologies.

Conclusion

Prof. Mohamed Othman is highly suitable for the Innovative Research Award due to his outstanding contributions to thermoelasticity, applied mathematics, and continuum mechanics. His influential publications, exceptional citation impact, advanced theoretical research, academic mentorship, and sustained scientific leadership have significantly strengthened global mathematical sciences and innovative interdisciplinary research development.

Publication Top Notes

Title: Reflection of plane waves from an elastic solid half-space under hydrostatic initial stress without energy dissipation
Author: MIA Othman, Y Song
Year: 2007
Citation: 183
DOI: https://doi.org/10.1016/j.ijsolstr.2007.01.025

Title: Magnetohydrodynamic flow of molybdenum disulfide nanofluid in a channel with shape effects
Author: J Raza, F Mebarek-Oudina, AJ Chamkha
Year: 2019
Citation: 177
DOI: https://doi.org/10.1108/MMMS-01-2019-0013

Title: Effect of Thermal Loading due to Laser Pulse on Thermoelastic Porous Media under G-N Theory
Author: MIA Othman, M Marin
Year: 2017
Citation: 170
DOI: https://doi.org/10.1016/j.rinp.2017.10.014

Title: Effect of rotation on plane waves in generalized thermo-elasticity with two relaxation times
Author: MIA Othman
Year: 2004
Citation: 167
DOI: https://doi.org/10.1016/j.ijsolstr.2003.11.028

Title: A Novel Model of Plane Waves of Two-temperature Fiber-reinforced Thermoelastic Medium under the Effect of Gravity with Three-phase-lag Model
Author: MIA Othman, SM Said, M Marin
Year: 2019
Citation: 158
DOI: https://doi.org/10.1108/HFF-03-2019-0225

Syeda Naveed Kazmi | Fluid Mechanics | Best Researcher Award

Published on by Metallurgical Engineering

Syeda Naveed Kazmi | Fluid Mechanics | Best Researcher Award

Lecturer at Mirpur University of Science and Technology | Pakistan

Dr. Syeda Naveed Kazmi is a Senior Lecturer in Mathematics at Mirpur University of Science and Technology (MUST), Pakistan, specializing in heat transfer analysis for peristaltic transport of Newtonian and non-Newtonian nanofluids. She completed her Ph.D. in Mathematics from COMSATS University Islamabad, following an M.Sc. from the University of Azad Jammu & Kashmir. Dr. Kazmi’s research focuses on fluid mechanics, computational fluid dynamics, and nanofluid heat transfer, with a particular emphasis on peristaltic transport mechanisms. She has authored several publications in international journals, including “Entropy generation analysis for hybrid nanofluid mobilized by peristalsis with an inclined magnetic field” in Advances in Mechanical Engineering and “Peristaltic flow under the effects of tilted magnetic field: enhancing heat transfer using graphene nanoparticles” in the International Journal of Modelling and Simulation. Additionally, her work on “Thermal analysis of hybrid nanoliquid containing iron-oxide (Fe3O4) and copper (Cu) nanoparticles in an enclosure” was published in Alexandria Engineering Journal. Her contributions to the field have been recognized internationally, and she continues to advance research in the areas of nanofluid dynamics and heat transfer. Dr. Kazmi’s academic journey reflects a commitment to excellence in research and education in applied mathematics.

Profile: ORCID | Google Scholar

Feautured Publications

Kazmi, S. N., Haq, R. U., & Mekkaoui, T. (2017). Thermal management of water based SWCNTs enclosed in a partially heated trapezoidal cavity via FEM. International Journal of Heat and Mass Transfer, 112, 972–982. Cited by 93.

Qin, H. L., Leng, J., Youssif, B. G. M., Amjad, M. W., Raja, M. A. G., Hussain, M. A., … Kazmi, S. N. (2017). Synthesis and mechanistic studies of curcumin analog‐based oximes as potential anticancer agents. Chemical Biology & Drug Design, 90(3), 443–449. Cited by 47.

Kazmi, S. N., Hussain, A., Rehman, K. U., & Shatanawi, W. (2024). Thermal analysis of hybrid nanoliquid contains iron-oxide (Fe3O4) and copper (Cu) nanoparticles in an enclosure. Alexandria Engineering Journal, 101, 176–185. Cited by 8.

Kazmi, S. N., Abbasi, F. M., & Shehzad, S. A. (2023). An electroosmotic peristaltic flow of graphene-lubrication oil nanofluid through a symmetric channel. Advances in Mechanical Engineering, 15(6), 16878132231177956. Cited by 5.

Kazmi, S. N., Abbasi, F. M., & Iqbal, J. (2024). Double diffusive convection for MHD peristaltic movement of Carreau nanofluid with Hall effects. Proceedings of the Institution of Mechanical Engineers, Part N: Journal of Nanomaterials, Nanoengineering and Nanosystems. Cited by 3.