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

Jorge Muniz Junior | Operations Management | Research Excellence Award

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Assist. Prof. Dr. Jorge Muniz Junior | Operations Management | Research Excellence Award

Full Professor at São Paulo State University | Brazil

Assist. Prof. Dr. Jorge Muniz Junior is a leading researcher in production engineering, specializing in Industry 4.0, Social Systems, and Knowledge Management in manufacturing. His work focuses on enhancing production efficiency, integrating lean methodologies, and advancing smart manufacturing practices. With 69 publications and 612 citations in Scopus, he holds a h-index of 14, demonstrating significant academic impact. His research bridges theory and practice, providing solutions for complex production challenges while promoting sustainable and innovative industrial systems. Through his contributions, Professor Muniz Jr. has established himself as a thought leader in modern manufacturing and production management.

Citation Metrics (Scopus)

700

500

300

100

0

Citations
612

Documents
69

h-index
14

 

Featured Publications


Writing the literature review for empirical papers
– Production, 2018 | Cited by 225

Engaging environments: tacit knowledge sharing on the shop floor
– Journal of Knowledge Management, 2013 | Cited by 175

Assessment of ISO 9001: 2015 implementation factors based on AHP: Case study in Brazilian automotive sector
– International Journal of Quality & Reliability Management, 2018 | Cited by 98

Knowledge‐based integrated production management model
– Journal of Knowledge Management, 2010 | Cited by 79

Aamir Saghir | Statistical Process Control | Best Researcher Award

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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

Maria Myrto Dardavila | Manufacturing | Best Researcher Award

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Dr. Maria Myrto Dardavila | Manufacturing | Best Researcher Award

Research Associate at National Technical University of Athens, Greece

Dr. Maria Myrto Dardavila is a highly accomplished Chemical Engineer with expertise in Materials Science and Technology. She holds a Ph.D. from the National Technical University of Athens (NTUA) and has a strong background in research, project management, and scientific assessment. With a career spanning over a decade, she has worked extensively in academia and industry, contributing to European-funded research initiatives and technological advancements. Dr. Dardavila is known for her problem-solving skills, analytical thinking, and adaptability. Her robust laboratory experience and multidisciplinary knowledge make her a valuable asset in research and development. She is an effective communicator, team leader, and mentor, actively engaged in supervising and guiding young researchers. Passionate about innovation, she continuously seeks new challenges and opportunities for advancing scientific knowledge and applications. Her work has led to numerous high-impact publications and presentations at international conferences, establishing her as a leading expert in her field.

Professional Profiles📖

ORCID

Education 🎓

Dr. Dardavila earned her Ph.D. in Chemical Engineering from NTUA in 2019, focusing on the application of pulse current for co-electrodeposition of ZrO2 particles in a Ni matrix under strong agitation. Her research explored the microstructural properties of advanced coatings. Prior to that, she completed an MSc in Materials Science and Technology at NTUA, where she investigated the pozzolanic activity of bottom ash, contributing to sustainable material development. Her academic journey began with a Master’s in Chemical Engineering from NTUA, where she conducted experimental measurements and thermodynamic modeling of catechin’s solubility in organic solvents. Throughout her education, she gained extensive experience in laboratory techniques, analytical methods, and experimental research. Her academic achievements have provided her with a solid foundation in material science, electrochemistry, and sustainable engineering solutions, positioning her as a leading researcher in her field.

Work Experience💼

Dr. Dardavila has an extensive career in research and project management. Since April 2023, she has been a consultant for the European Science Foundation (ESF), evaluating grant applications and scientific programs. Since 2019, she has served as a Project Manager and Research Associate at NTUA, leading EU-funded projects, mentoring researchers, and authoring scientific publications. From 2018 to 2019, she worked at Creative Nano as a Project Manager, overseeing Marie Skłodowska-Curie Actions, mentoring fellows, and disseminating research findings. Earlier in her career (2009-2019), she was a researcher at NTUA, focusing on scientific research, supervising students, and managing laboratory resources. Her diverse experience in academia and industry has made her a skilled leader in managing large-scale research projects, fostering collaboration, and ensuring the successful execution of innovative scientific initiatives.

Research Focus

Dr. Dardavila’s research primarily focuses on materials science, electrochemistry, and sustainable engineering solutions. Her work includes the electrodeposition of metal and metal matrix composite coatings, high-performance materials, and nanotechnology applications. She has explored bioactive compound extraction from natural sources and developed innovative methods for microalgae biomass harvesting using magnetic separation techniques. Her expertise extends to high-performance liquid chromatography (HPLC), spectroscopy, electrochemical impedance spectroscopy, and thermal analysis techniques. She is passionate about advancing green engineering solutions and improving material properties through innovative research methodologies. Her multidisciplinary approach integrates chemistry, materials science, and engineering, contributing to technological advancements and environmental sustainability.

Skills

Dr. Dardavila possesses a diverse skill set that encompasses project management, laboratory research, and analytical techniques. She is proficient in high-performance liquid chromatography (HPLC), UV-VIS spectroscopy, zeta potential and dynamic light scattering (DLS) particle size distribution analysis, and various electrochemical and thermal analysis methods. Her expertise in electrodeposition, pulsed electrodeposition, and microstructure characterization makes her a leader in material science research. She has strong managerial and leadership skills, excelling in coordinating large-scale research projects, mentoring junior researchers, and supervising students. Her proficiency in Microsoft Office, OriginLab, and data science tools further enhances her research capabilities. Additionally, her multilingual abilities in Greek, English (C2 level), and Spanish (A2 level) enable her to collaborate effectively in international research environments.

Award and Honors

Dr. Dardavila has received multiple accolades for her outstanding contributions to research and innovation. She has been recognized for her excellence in project management and scientific research through European Union grants and funding awards. Her leadership in Horizon-funded projects has positioned her as a key figure in advanced materials research. She has also received commendations for her mentorship and contributions to developing sustainable and innovative technologies. Dr. Dardavila’s extensive work in electrodeposition, bioactive compound extraction, and nanotechnology has earned her invitations to speak at prestigious conferences and symposiums. Her dedication to scientific excellence and her impact on engineering and materials science have solidified her reputation as an influential researcher and academic professional.

Conclusion✅

Dr. Maria Myrto Dardavila is a highly qualified candidate for the Best Researcher Award, with a strong record of academic excellence, innovative research, and leadership in scientific projects. Her ability to manage research initiatives, mentor upcoming scientists, and contribute to cutting-edge discoveries places her among the top researchers in her field. Addressing minor areas of improvement could further elevate her profile, but overall, her contributions to science and technology make her an outstanding contender for this prestigious recognition.

 

📚Publications to Noted

 

A comprehensive investigation of the effect of pulse plating parameters on the electrodeposition of Ni/ZrO2 composite coatings

Authors: M.M. Dardavila, M. Veronica Sofianos, B.J. Rodriguez, R. Bekarevich, A. Tzanis, P. Gyftou, C. Kollia

Year: 2025

Friction and Wear Behavior of 3D-Printed Inconel 718 Alloy under Dry Sliding Conditions

Authors: Ioannis Karagiannidis, Athanasios Tzanis, Dirk Drees, Lais Lopes, Georgios Chondrakis, Maria Myrto Dardavila, Emmanuel Georgiou, Angelos Koutsomichalis

Year: 2024

Measurement and thermodynamic modelling of the solubilities of caffeic acid, p-coumaric acid and ferulic acid in three choline chloride-based deep eutectic solvents

Authors: Nikolaos Prinos, Maria Myrto Dardavila, Epaminondas Voutsas

Year: 2024

Investigating the activity of Ca2Fe2O5 additives on the thermochemical energy storage performance of limestone waste

Authors: Rehan Anwar, Rajani K. Vijayaraghavan, Patrick McNally, Maria Myrto Dardavila, Epaminondas Voutsas, M. Veronica Sofianos

Year: 2023

Extraction of Bioactive Compounds from C. vulgaris Biomass Using Deep Eutectic Solvents

Authors: Maria Myrto Dardavila, Sofia Pappou, Maria G. Savvidou, Vasiliki Louli, Petros Katapodis, Haralambos Stamatis, Kostis Magoulas, Epaminondas Voutsas

Year: 2023

Extraction of Bioactive Compounds from Ulva lactuca

Authors: Sofia Pappou, Maria Myrto Dardavila, Maria G. Savvidou, Vasiliki Louli, Kostis Magoulas, Epaminondas Voutsas

Year: 2022

Optimization of Microalga Chlorella vulgaris Magnetic Harvesting

Authors: Maria G. Savvidou, Maria Myrto Dardavila, Ioulia Georgiopoulou, Vasiliki Louli, Haralambos Stamatis, Dimitris Kekos, Epaminondas Voutsas

Year: 2021

Ni/ZrO2 composite electrodeposition in the presence of coumarin: textural modifications and properties

Authors: M.M. Dardavila, S. Hamilakis, Z. Loizos, C. Kollia

Year: 2015

Study of the relation existing between photoresistivity and substituents characteristics of some coumarin derivatives

Authors: M.M. Dardavila et al.

Year: 2014

Pulse Electrolysis for the Production of Hard Ni/ZrO2 Composite Coatings

Authors: M.M. Dardavila, C. Kollia

Year: 2011