Asim Aamir | CFD Simulation | Editorial Board Member

Published on by Metallurgical Engineering

 

Editorial Board Member

Asim Aamir
Institute of Process Engineering, Chinese Academy of Sciences
Asim Aamir
Affiliation Institute of Process Engineering, Chinese Academy of Sciences
Country Pakistan
Scopus ID 57999738500
Documents 21
Citations 486
h-index 13
Subject Area CFD Simulation
Event Metallurgical Engineering Awards
ORCID 0000-0001-8142-5315

Asim Aamir is a researcher affiliated with the Institute of Process Engineering, Chinese Academy of Sciences, whose research profile is associated with computational fluid dynamics (CFD) simulation and process-oriented engineering analysis. His documented scholarly record includes 21 publications, 486 citations, and an h-index of 13 according to the supplied Scopus profile information.[1] His academic profile and research activity provide a basis for recognition within the broader field of engineering and metallurgical process research.

Abstract

Asim Aamir is associated with the Institute of Process Engineering, Chinese Academy of Sciences, and has developed a scholarly profile centered on computational fluid dynamics simulation and engineering process analysis. The supplied bibliometric information records 21 documents, 486 citations, and an h-index of 13.[1] CFD-based approaches can support the numerical investigation of fluid flow, heat and mass transfer, multiphase processes, and other engineering phenomena. Within process engineering and metallurgical applications, such computational methods can contribute to process optimization, equipment analysis, and improved understanding of complex transport behavior. The researcher’s publication and citation record provides measurable evidence of scholarly engagement and research dissemination.

Keywords

Asim Aamir; Computational Fluid Dynamics; CFD Simulation; Process Engineering; Numerical Simulation; Engineering Analysis; Transport Phenomena; Metallurgical Engineering; Process Modelling; Multiphase Flow.

Introduction

Computational modelling has become an important component of contemporary engineering research because numerical methods allow researchers to investigate physical processes that may be difficult, costly, or time-consuming to characterize experimentally. Computational fluid dynamics is particularly relevant to process engineering because it can be used to model fluid movement and associated transport phenomena under defined physical and operating conditions. In industrial process research, CFD may complement experimental investigations by providing detailed numerical information about flow fields and process behavior.[4]

Research Profile

The supplied research profile identifies Asim Aamir with the Institute of Process Engineering, Chinese Academy of Sciences, and lists Pakistan as the associated country. His Scopus Author ID is 57999738500, while the supplied metrics indicate 21 documents, 486 citations, and an h-index of 13.[1] The ORCID identifier 0000-0001-8142-5315 provides an additional persistent scholarly identifier that can assist in distinguishing the researcher from other authors with similar names.[2]

Research Contributions

The research profile is centered on CFD simulation, a numerical discipline used to represent fluid-flow and transport processes through mathematical and computational techniques. Such modelling can be applied across process engineering to examine flow behavior, thermal characteristics, species transport, pressure distributions, and interactions among phases or process components. The relevance of CFD to metallurgical engineering includes applications in furnaces, reactors, casting systems, particulate processing, cooling systems, and other industrial operations where fluid and heat-transfer behavior influences process performance.

Publications

The supplied Scopus information records 21 documents associated with the researcher’s author profile.[5] These publications form the principal documented body of the researcher’s scholarly output. Because individual publication titles, journals, publication years, and DOI identifiers were not supplied in the source information for this article, specific publication metadata are not reproduced here. The Scopus author profile should be consulted for the current indexed publication list and associated bibliographic details.[3]

Research Impact

The supplied citation record lists 486 citations and an h-index of 13 for the researcher’s Scopus profile.[1] These indicators provide quantitative measures of the visibility and citation activity associated with the indexed publication record. Bibliometric indicators should, however, be interpreted in relation to research field, publication practices, career stage, collaboration patterns, and the quality and relevance of individual contributions.

Award Suitability

The available information indicates a research profile relevant to computational engineering and process simulation. For consideration within the Metallurgical Engineering Awards, the profile may be evaluated in relation to the relevance of CFD-based research to metallurgical processes, the originality and methodological rigor of individual studies, publication quality, citation activity, and demonstrated contribution to engineering research.[1][2]

Conclusion

Asim Aamir is an engineering researcher associated with the Institute of Process Engineering, Chinese Academy of Sciences, with a stated specialization in CFD Simulation. The supplied scholarly indicators comprise 21 documents, 486 citations, and an h-index of 13, providing a quantitative overview of the indexed research record.[1] His computationally oriented research profile is relevant to process engineering and can intersect with metallurgical applications where fluid flow, heat transfer, mass transport, and process modelling are important. Further evaluation of individual publications, DOI records, and research outcomes can provide a more detailed assessment of the significance and originality of his contributions.

References

  1. Elsevier. (n.d.). Scopus author details: Asim Aamir, Author ID 57999738500. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57999738500
  2. ORCID. (n.d.). Asim Aamir ORCID record: 0000-0001-8142-5315. ORCID.
    https://orcid.org/0000-0001-8142-5315
  3. S Nasir, A Berrouk, A Aamir. (2026). Modeling nanomaterial transport with chemical reaction and thermal radiation effects using intelligent learning techniques: S Nasir et al.
    https://link.springer.com/article/10.1007/s10973-025-15090-y
  4. S Nasir, AS Berrouk, K Polychronopoulou, A Aamir. (2026). Advanced thermal transmission using tetrahybrid nanofluids: numerical simulation and soft-computing-based strategic perspectives.
    https://www.tandfonline.com/doi/abs/10.1080/19942060.2026.2678670
  5. AAAS Al-Haddad, E Yohana, TS Utomo, A Aamir, Z Ullah. (2023). CFD study of counter-current flow behavior and liquid holdup in random packed column.
    https://www.academia.edu/download/103997066/07bbcd57ff5f789de37619502c276476.pdf

Bilal Ahmad | Computational Metallurgy | Research Excellence Award

Published on by Metallurgical Engineering

Mr. Bilal Ahmad | Computational Metallurgy | Research Excellence Award

University of Johannesburg | South Africa

Mr. Bilal Ahmad demonstrates emerging excellence in data science and artificial intelligence, with scholarly focus on machine learning and deep learning applications for complex, real-world problems. Research contributions emphasize predictive analytics and intelligent modeling, including peer-reviewed work on epidemic outbreak analysis using advanced computational techniques. The research reflects methodological soundness, interdisciplinary relevance, and alignment with current global challenges in data-driven systems. According to the Scopus profile, the researcher has 1 indexed publication, 2 total citations, and an h-index of 1, indicating early academic visibility and growing research impact. These contributions highlight strong potential for continued advancement and research excellence.

Citation Metrics ( Google Scholar )

5

3

2

1

0

Citations
2

Documents
1

h-index
1

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Anwar Shahid | Computational Fluid Dynamics | Best Researcher Award

Published on by Metallurgical Engineering

Assoc. Prof. Dr. Anwar Shahid | Computational Fluid Dynamics | Best Researcher Award

Associate Professor at Quanzhou University of Information Engineering | China

Assoc. Prof. Dr. Anwar Shahid is a dedicated researcher whose scholarly work focuses on computational fluid dynamics, nanofluid transport, and advanced numerical modeling, supported by 989 citations, 25 scientific publications, and an h-index of 17 in Scopus-indexed databases. His research emphasizes the behavior of non-Newtonian and nanoparticle-enhanced fluids under varying thermal, magnetic, and porous media conditions, contributing to deeper mechanistic understanding and improved predictive capabilities in heat and mass transfer systems. He has developed and applied specialized numerical techniques-including spectral relaxation frameworks and high-accuracy iterative solvers-to analyze Sutterby, Casson, and viscoelastic nanofluids, producing high-impact findings that advance theoretical and engineering applications. His studies on magnetohydrodynamic (MHD) multiphase flows support innovations in aerospace propulsion analysis, energy-efficient thermal devices, and micro-scale cooling technologies. By systematically evaluating the roles of thermal relaxation time, magnetic parameters, slip conditions, and surface geometry, his models offer new design perspectives for enhancing thermal system reliability and performance. His scientific output reflects consistent contribution to the fields of nanofluid dynamics, nonlinear flow stability, and numerical simulation accuracy, and his editorial involvement highlights his standing within the research community. Dr. Shahid’s work continues to shape computational modeling approaches essential for sustainable technologies, precision thermal systems, and advanced industrial applications, positioning him as a strong candidate for recognition in the Best Researcher Award category.

Profiles : Scopus | ORCID | Google Scholar

Featured Publications

Shahid, A., Bhatti, M. M., Ellahi, R., & Mekheimer, K. S. (2022). Numerical experiment to examine activation energy and bi-convection Carreau nanofluid flow on an upper paraboloid porous surface: Application in solar energy. Sustainable Energy Technologies and Assessments Cited by 105.

Bhatti, M. M., Jun, S., Khalique, C. M., Shahid, A., Fasheng, L., & Mohamed, M. S. (2022). Lie group analysis and robust computational approach to examine mass transport process using Jeffrey fluid model. Applied Mathematics and Computation Cited by 58.

Shahid, A., Bhatti, M. M., Bég, O. A., Animasaun, I. L., & Javid, K. (2021). Spectral computation of reactive bi-directional hydromagnetic non-Newtonian convection flow from a stretching upper parabolic surface in non-Darcy porous medium. International Journal of Modern Physics B Cited by  25.

Bhatti, M. M., Shahid, A., Abbas, T., Alamri, S. Z., & Ellahi, R. (2020). Study of activation energy on the movement of gyrotactic microorganism in a magnetized nanofluids past a porous plate. Processes Cited by 152.

Shahid, A., Huang, H., Bhatti, M. M., Zhang, L., & Ellahi, R. (2020). Numerical investigation on the swimming of gyrotactic microorganisms in nanofluids through porous medium over a stretched surface. Mathematics Cited by 120.

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.