David Chepkonga | Thermal and Metallurgical Processes | Innovative Research Award

Published on by Metallurgical Engineering

Innovative Research Award

David Chepkonga
Jomo Kenyatta University of Agriculture and Technology, Kenya
David Chepkonga
Affiliation Jomo Kenyatta University of Agriculture and Technology
Country Kenya
Scopus ID 59419267100
Documents 3
Citations 4
h-index 1
Subject Area Thermal and Metallurgical Processes
Event Metallurgical Engineering Awards
ORCID 0000-0002-2180-1718

David Chepkonga is a Kenyan scholar in applied and computational mathematics whose academic work has contributed to the advancement of numerical modelling, heat transfer analysis, fluid dynamics, and computational simulation. His interdisciplinary research profile combines mathematical theory with engineering-oriented applications relevant to thermal and metallurgical processes.[1] Through scholarly publications, conference participation, and university teaching, he has demonstrated a commitment to analytical research and academic development in East Africa and beyond.[2]

Abstract

David Chepkonga and his contributions to applied mathematics, computational modelling, and engineering-oriented scientific research. His academic activities include numerical analysis, magnetohydrodynamic flow studies, thermal systems simulation, and epidemic modelling.[3] Through publications in peer-reviewed journals and participation in international conferences, Chepkonga has contributed to research areas connected to thermal sciences and metallurgical engineering applications. His research profile reflects an emphasis on analytical rigor, interdisciplinary collaboration, and mathematical approaches to industrial and environmental challenges.[4]

Keywords

Applied Mathematics, Thermal Engineering, Metallurgical Processes, Computational Modelling, Fluid Dynamics, Heat Transfer, Numerical Analysis, Magnetohydrodynamics, Scientific Simulation, Engineering Research

Introduction

David Chepkonga working in this field often apply numerical techniques and mathematical simulations to understand heat transfer, fluid flow, and material behaviour under complex operating conditions. David Chepkonga has developed a research portfolio aligned with these objectives through studies involving nanofluid dynamics, magnetic field interactions, and predictive modelling systems.[2]

His academic work is associated with Jomo Kenyatta University of Agriculture and Technology in Kenya, where he completed advanced studies in applied mathematics and computational sciences. In addition to research, he has contributed to university teaching, supervision, curriculum development, and scholarly mentorship across multiple institutions.[1]

Research Profile

Chepkonga’s research profile focuses on computational fluid dynamics, thermal modelling, and engineering mathematics. His studies examine the interaction between magnetic fields, viscous flow systems, and heat transfer processes relevant to industrial and metallurgical applications.[3] His technical expertise includes MATLAB simulation, numerical analysis, and mathematical modelling techniques applied to engineering and environmental systems.

Research Contributions

A major component of Chepkonga’s work involves analysing thermal transport phenomena through computational approaches. His studies on gyro-tactic hybrid nanofluids and porous convergent pipe systems provide mathematical insight into complex flow behaviours and thermal conductivity patterns.[3] He has also contributed to mathematical epidemiology through research on disease transmission dynamics, including SIR-based modelling frameworks for Monkeypox and other infectious diseases. These studies illustrate the adaptability of mathematical methods across engineering and biomedical domains.[4]

Publications

  • Spectral Relaxation Analysis of Rotating Magnetohydrodynamic Viscous Flow and Heat Transfer Past a Stretching Sheet, Results in Engineering, 2026.
  • Modelling Heat and Mass Transfer in Gyro-tactic Hybrid Nanofluid Flow Through a Converging Pipe, International Journal of Ambient Energy, 2025.
  • Numerical Study of Multiphase Hybrid Gyro-tactic Nanofluid Flow Through Porous Convergent Pipe, Engineering Letters, 2025.

Research Impact

David Chepkonga’s studies combine mathematics, engineering analysis, and simulation techniques to address scientific questions relevant to industrial systems and emerging technological challenges.[5] His publications contribute to growing academic discussions in thermal sciences, metallurgical engineering processes, computational mathematics, and applied modelling. Participation in international conferences and academic workshops has also strengthened collaboration opportunities and research dissemination within the African scientific community.[2]

Award Suitability

David Chepkonga’s academic background and publication record support his suitability for recognition through the Innovative Research Award. His work demonstrates interdisciplinary integration between mathematics and engineering sciences, particularly in computational heat transfer and flow analysis.[3] The combination of research productivity, university-level teaching experience, conference engagement, and collaborative scholarly participation indicates sustained academic involvement.[4]

Conclusion

David Chepkonga represents a growing generation of African researchers contributing to computational mathematics and engineering analysis through applied scientific investigation. His research activities, publication portfolio, and commitment to higher education demonstrate continued engagement with interdisciplinary academic advancement. The Innovative Research Award recognizes scholarly contributions that support analytical problem-solving, engineering innovation, and scientific development within the broader academic and industrial community.

References

  1. Elsevier. (n.d.). Scopus author details: David Chepkonga, Author ID 59419267100. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=59419267100
  2. Chepkonga, D. (2019). Fluid flow and heat transfer through a vertical cylindrical collapsible tube in the presence of magnetic field and an obstacle. International Journal of Advances in Applied Mathematics and Mechanics
    web.archive.org
  3. Chepkonga, D. (2024). Modeling the spread of Mpox viral disease in African countries using a Bayesian hierarchical model. Commun. Math. Biol. Neurosci..
    https://scik.org/index.php/cmbn/article/view/8890
  4. Chepkonga, D. (2025). Optimizing Control Measures for a Vector-Host Epidemic Model: A Mathematical Analysis. Earth 
    https://www.researchgate.net/
  5. Chepkonga, D. (2024). Heat Transfer on a Non-Newtonian Hydromagnetic Fluid Flow through a Convergent Conduit with Chemical Reaction and Soret Effects.
    https://ijaamm.com/uploads/2/1/4/8/21481830/v12n1p6_57-69.pdf

Clayton Motta | Manufacturing Processes | Research Excellence Award

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Prof. Clayton Motta | Manufacturing Processes | Research Excellence Award

Professor at Federal University of Rio Grande do Sul | Brazil

Prof. Clayton Motta’s research centers on powder metallurgy, advanced manufacturing, and functional material development, with emphasis on iron-based composites and emerging battery materials for electric mobility. His work integrates experimental analysis and industrial applications, contributing to material optimization, microstructural control, and process efficiency. According to his Scopus profile, he has 2 publications, 15 citations, and an h-index of 1, reflecting an emerging research impact. His scholarly output and involvement in applied engineering research demonstrate promising potential and align with the criteria for a Research Excellence Award, particularly for early-stage contributors in metallurgical innovation.

Citation Metrics (Scopus)

20

15

10

5

0

Citations
15

Documents
2

h-index
1

Featured Publications

Aamir Saghir | Statistical Process Control | Best Researcher Award

Published on by Metallurgical Engineering

Dr. Aamir Saghir | Statistical Process Control | Best Researcher Award

Associate professor at Mirpur University of Science and Technology | Pakistan

Dr. Aamir Saghir, Associate Professor at Mirpur University of Science and Technology (MUST), Pakistan, is recognized for his outstanding work in statistical quality control, probability modeling, and industrial data analytics. His research primarily focuses on developing flexible, robust, and Bayesian control charts for process monitoring in both univariate and multivariate environments. With 49 publications, 567 citations, and an h-index of 15 (Scopus), Dr. Saghir’s contributions are well-established in the international scientific community. He has published extensively in high-impact journals, including Computers & Industrial Engineering, Quality and Reliability Engineering International, Communications in Statistics, and Applied and Computational Mathematics. His collaborative research extends globally, involving advanced modeling for reliability analysis, environmental statistics, and the integration of machine learning with statistical monitoring. His co-authored book, “Introduction to Statistical Process Control” (John Wiley & Sons, 2020), serves as a reference for modern control chart design and applications. Dr. Saghir’s scholarly output demonstrates a balance of theoretical innovation and practical relevance, influencing diverse fields such as manufacturing, environmental studies, and data-driven decision-making. Through supervision of postgraduate students and contributions to academic boards, he has fostered research excellence in Pakistan and abroad. His sustained research impact and leadership affirm his suitability for the Best Researcher Award.

Profiles : Scopus | ORCID | Google Scholar

Featured Publications

Saghir, A., Khadim, A., & Lin, Z. (2017). The Maxwell length-biased distribution: Properties and estimation.Journal of Statistical Theory and Practice, 11(1), 26–40. Citation: 24

Saghir, A., Ahmad, L., Aslam, M., & Jun, C. H. (2019). A EWMA control chart based on an auxiliary variable and repetitive sampling for monitoring process location. Communications in Statistics–Simulation and Computation, 48(7), 2034–2045. Citation: 23

Ahmad, I., Abbas, A., Saghir, A., & Fawad, M. (2016). Finding probability distributions for annual daily maximum rainfall in Pakistan using linear moments and variants. Polish Journal of Environmental Studies, 25(3), 925–937. Citation: 23

Saghir, A. (2015). Phase-I design scheme for Xˉ\bar{X}-chart based on posterior distribution. Communications in Statistics–Theory and Methods, 44(3), 644–655. Citation: 22

Hu, X. L., Zhang, S. Y., Zhang, J., & Saghir, A. (2023). Efficient CUSUM control charts for monitoring the multivariate coefficient of variation. Computers & Industrial Engineering, 179, 109159. Citation: 15

Qian Li | Minerals Engineering | Pioneer Researcher Award

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Prof. Qian Li | Minerals Engineering | Pioneer Researcher Award

Professor at University of South China | China

Prof. Qian Li, a distinguished scholar in biohydrometallurgy at the University of South China, has made exceptional contributions to understanding microbial processes in mineral engineering, particularly uranium bioleaching and residue stabilization. His research integrates microbiological mechanisms with mineral system engineering to address challenges in uranium extraction and environmental remediation. He has directed numerous national and provincial research projects focused on the behavior of iron/sulfur-oxidizing bacterial consortia, in-situ passivation of uranium residues, and eco-friendly leaching technologies. Prof. Li’s innovative studies on biogenic coatings, microbial oxidation, and nanobubble-assisted leaching have introduced new approaches to sustainable metal recovery and waste control. His extensive publication record exceeds 80 research articles in reputed journals including Journal of Hazardous Materials, Frontiers in Microbiology, and Journal of Cleaner Production, showcasing his interdisciplinary expertise and technical leadership. As documented in his Scopus profile, he has accumulated over 4,651 citations, 289 indexed documents, and an h-index of 39, underscoring his scientific impact and recognition within the international minerals engineering community. Through his pioneering work on microbial-mineral interactions, Prof. Li continues to advance the field toward cleaner and more efficient resource utilization, establishing himself as a leading figure in metallurgical and environmental biotechnology.

Profile : Scopus | ORCID | Google Scholar

Featured Publications

Li, S., Xiao, L., Sun, J., Li, Q., Li, G., Cui, Z., Li, T., & Zhou, X. (2025). Biogenic jarosite coating as an innovative passivator for acidic uranium residue stabilization using Acidithiobacillus ferrooxidans. Journal of Hazardous Materials, 471, 140229. DOI: 10.1016/j.jhazmat.2025.140229

Xiao, L., Li, S., Liu, X., Sun, J., Li, G., Cui, Z., Li, T., & Li, Q. (2024). Linked variations of bioleaching performance, extracellular polymeric substances (EPS) and passivation layer in the uranium bacterial-leaching system. Journal of Radioanalytical and Nuclear Chemistry, 334, 637–651. DOI: 10.1007/s10967-024-09851-6

Li, Q., Liu, X., Ma, J., Sun, J., Li, G., Cui, Z., & Li, T. (2023). Bidirectional effects of sulfur-oxidizer Acidithiobacillus thiooxidans in uranium bioleaching systems with or without sulfur by mixed acidophilic bacteria. Journal of Radioanalytical and Nuclear Chemistry, 332, 1787–1794. DOI: 10.1007/s10967-023-08841-4

Sun, J., Ma, J., Li, Q., Li, G., Shi, W., Yang, Y., Hu, P., & Guo, Z. (2022). Role of Fe/S ratios in the enhancement of uranium bioleaching from a complex uranium ore by Acidithiobacillus ferrooxidans and Acidithiobacillus thiooxidans consortium. Journal of Central South University, 29(12), 3858–3869. DOI: 10.1007/s11771-022-5216-1

Yang, Y., Li, Q., Li, G., Ma, J., Sun, J., Liu, X., Cui, Z., & Li, T. (2022). Depth-induced deviation of column bioleaching for uranium embedded in granite porphyry by defined mixed acidophilic bacteria. Journal of Radioanalytical and Nuclear Chemistry, 331, 3681–3692. DOI: 10.1007/s10967-022-08418-7

Chen, Z., Li, Q., Yang, Y., Sun, J., Li, G., Liu, X., Shu, S., Li, X., & Liao, H. (2022). Uranium removal from a radioactive contaminated soil by defined bioleaching bacteria. Journal of Radioanalytical and Nuclear Chemistry, 331, 439–449. DOI: 10.1007/s10967-021-08077-0