David Chepkonga | Thermal and Metallurgical Processes | Innovative Research Award

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

Hatem Abuelizz | Sustainable Metallurgical | Research Excellence Award

Prof. Dr. Hatem Abuelizz | Sustainable Metallurgical | Research Excellence Award

Professor of Medicinal Chemistry at King Saud University | Saudi Arabia

Prof. Dr. Hatem A. Abuelizz is a distinguished researcher in medicinal chemistry and pharmaceutical biotechnology, with significant contributions to drug discovery and molecular design. His work emphasizes the synthesis and biological evaluation of quinazoline-based compounds with anticancer, antiviral, and antimicrobial potential. He has authored 147 Scopus-indexed publications, achieving 1,746 citations across 1,395 documents and an h-index of 24, reflecting strong research impact. His portfolio includes patented innovations and interdisciplinary studies integrating molecular docking and bioactivity evaluation, demonstrating excellence and sustained contribution to pharmaceutical research and innovation.

Citation Metrics (Scopus)

1800

1000

500

100

0

Citations
1746

Documents
147

h-index
24

Featured Publications

Zhe Wang | Metallurgical Engineering | Best Researcher Award

Prof. Dr. Zhe Wang | Metallurgical Engineering | Best Researcher Award

Professor at University of Science and Technology Beijing, China

Zhe Wang is a professor at the University of Science and Technology Beijing. His academic journey, marked by extensive research in metallurgical engineering, began with a Ph.D. from the University of Wollongong, Australia. Since 2016, he has been a dedicated contributor to advancing recycling technologies for critical metals. With a focus on innovative solutions to supply security risks and environmental challenges, Dr. Wang’s work has significantly impacted industrial practices. His methods, such as supergravity-enhanced separation and matte smelting for lithium-ion batteries, are transformative, earning recognition from prestigious organizations. A prolific author and inventor, he holds multiple patents and has published over 43 SCI-indexed papers. His leadership extends to editorial roles and professional committees, fostering collaboration in the metallurgical community.

Professional Profiles📖

Scopus

Education 🎓

Dr. Wang’s educational foundation is deeply rooted in metallurgical engineering. He earned his doctoral degree (2012-2015) from the University of Wollongong, where he delved into innovative recycling methods for metal resources. His Ph.D. thesis focused on the molten separation of metals and related electrochemical processes. Prior to that, he pursued foundational studies in materials science, developing a profound understanding of alloy behaviors and high-temperature reactions. His academic pursuits emphasized practical applications, paving the way for his later industrial collaborations. This strong theoretical grounding underpins his current research, as he continues to educate future leaders in metallurgy at the University of Science and Technology Beijing.

Work Experience💼

Dr. Wang‘s professional career spans over a decade of impactful contributions to metallurgical research and education. From his initial role as an Associate Research Fellow at the University of Wollongong, he transitioned to teaching and research positions at the University of Science and Technology Beijing. Serving as a Lecturer (2016–2018), Associate Professor (2018–2024), and now as Professor, he has led numerous projects funded by national foundations and industry partners. His work bridges academia and industry, driving innovation in metal recycling technologies. His hands-on approach to research has resulted in industrial implementations with significant cost and efficiency benefits.

Research Focus

Dr. Wang specializes in high-value recycling of critical metal resources, tackling challenges in supply chain security and sustainability. His pioneering approaches, including supergravity-assisted separation and electrochemical methods, emphasize efficiency and scalability. His focus extends to recycling low-melting-point metals, refining titanium and zirconium through stable electrolytes, and developing smelting processes for precious metals. His research integrates theoretical insights and practical applications, bridging the gap between laboratory innovation and industrial utility.

Awards & Honors

Dr. Wang‘s achievements have been celebrated with numerous awards. Among these, the First Prize in the China Nonferrous Metals Industry Technological Invention Award (2022) stands out for his advancements in molten salt electrorefining. His contributions to supergravity-enhanced technologies have also been supported by the National Natural Science Foundation of China. As a recognized leader, he serves on editorial boards and professional committees, further solidifying his reputation as a thought leader in the field. His work’s industrial impact has earned accolades from organizations such as Baosteel and Shougang Group.

Conclusion✅

Dr. Zhe Wang exemplifies the qualities of a deserving candidate for the Best Researcher Award. His pioneering work in high-value recycling of critical metals, combined with a track record of impactful publications, patents, and industrial applications, underscores his significant contributions to science and industry. Addressing minor areas for improvement, such as increasing global collaboration and interdisciplinary engagement, could further elevate his already stellar profile. Dr. Wang’s innovative research and dedication make him a strong contender for this prestigious recognition.

📚Publications to Noted

 

Extraction and recovery of rare earth elements from NdFeB waste using bismuth reinforced by supergravity

Authors: Z. Wang, Zhenxiang Zhang, Long Meng, Chunjiang Li, Zhancheng GuCitations: 0

Year: 2024

Sustainable recycling of pure aluminum from waste chips under supergravity-enhanced separation: A cleaning process

Authors: Bolin Sun, Lei Guo, Z. Wang, Xi Lan, Zhancheng Guo

Year: 2024

Preparation of SiC/Al composite material by supergravity infiltration method and its properties

Authors: Yuan Li, Z. Wang, Zhancheng Guo

Citations: 6

Year: 2024

Grade-preserving recycling of highly polluted Al-Mg-Si alloys scrap: Continuous filtration under supergravity-induced

Authors: Bolin Sun, Xi Lan, Z. Wang, Ningjie Sun, Zhancheng Guo

Citations: 1

Year: 2024

Weak Electrostatic Force on K+ in Gel Polymer Electrolyte Realizes High Ion Transference Number for Quasi Solid-State Potassium Ion Batteries

Authors: Huize Yang, Wei Wang, Zheng Huang, Shufeng Yang, Shuqiang Jiao

Citations: 12

Year: 2024

The fundamental research on suspended dross in hot dip Al–Zn galvanising process

Authors: Rensheng Chu, Z. Wang, Ningjie Sun, Chengliang Xu, Zhancheng Guo

Year: 2024

CFD simulation and water model experiments with overflow-type supergravity reactor set up for continuously removing inclusions from aluminum melt

Authors: Z. Wang, Qilong Wei, Meng Hu, Zhancheng GuoCitations: 0

Year: 2024

Effect of Al2O3/SiO2 mass ratio and CaO content on viscosity and structure of slag for pyrometallurgical processing of spent automotive catalysts

Authors: Z. Wang, Qilong Wei, Chengbin Shi, Zhancheng Guo

Citations: 5

Year: 2024

Insight into compositional dependence of thermophysical properties and structure of Al2O3-SiO2-CaF2-CaO-Li2O melts

Authors: Xiuxiu Wan, Z. Wang, Jian Yang, Chengbin Shi

Citations: 5

Year: 2024

Review—Preparation of Hafnium Metal by Electrolysis

Authors: Ranran Wei, Zheng Huang, Tianwei Wei, Z. Wang, Shuqiang Jiao

Citations: 2

Year: 2024