Kennedy Mensah | Mathematics | Best Researcher Award

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Mr. Kennedy Mensah | Mathematics | Best Researcher Award

PhD. Candidate at Kwame Nkrumah University of Science andTechnology, Ghana

Kennedy Mensah is a dedicated and rapidly emerging researcher in applied mathematics, specializing in mathematical biology, tumor-immune modeling, infectious disease dynamics, and computational fluid dynamics. Currently pursuing a PhD at Kwame Nkrumah University of Science and Technology, he serves as an Assistant Lecturer at the University of Energy and Natural Resources. Kennedy has authored and co-authored several peer-reviewed publications in high-impact journals, reflecting his commitment to addressing real-world health and biological challenges through mathematical modeling. His work demonstrates strong interdisciplinary collaboration and practical relevance, with a research portfolio that spans optimal control theory, partial differential equations, and epidemiological modeling. Recognized through prestigious scholarships such as the GNPC Postgraduate and Barclays Tertiary Awards, Kennedy also brings valuable teaching experience and has contributed to national data collection initiatives. His academic achievements, coupled with his research productivity and passion for knowledge dissemination, mark him as a promising candidate for recognition as a Best Researcher.

Professional Profile 

Scopus Profile
ORCID Profile

Education

Kennedy Mensah’s academic journey reflects a strong foundation in mathematical sciences and a continuous pursuit of academic excellence. He is currently a PhD candidate in Applied Mathematics at Kwame Nkrumah University of Science and Technology (KNUST), where he is deepening his expertise in mathematical modeling and computational analysis. He earned his Master of Philosophy (MPhil) in Applied Mathematics from the University of Energy and Natural Resources (UENR) with distinction, graduating with a CGPA of 3.68/4.0. Prior to that, he obtained a Bachelor of Science degree in Mathematics from UENR, finishing with a Second Class Upper Division and a CGPA of 3.58/4.0. His foundational education was at Tamale Senior High School, where he pursued General Arts with a strong emphasis on analytical subjects. This robust academic background has equipped him with critical thinking, analytical reasoning, and advanced problem-solving skills necessary for tackling complex real-world challenges through mathematics.

Professional Experience

Kennedy Mensah has accumulated diverse and impactful professional experience primarily centered around academia, research, and national development initiatives. He currently serves as an Assistant Lecturer at the University of Energy and Natural Resources, where he teaches undergraduate courses in differential equations, statistics, and algebra, among others. His academic career began as a Teaching Assistant and later as a Graduate Assistant, contributing to both instruction and research activities. Additionally, Kennedy has played key roles in national statistical projects, such as the 2023 Integrated Business Establishment Survey and the 2021 Population and Housing Census, where he served as a Field Supervisor and Regional Trainer. These roles highlight his leadership, organizational, and data handling skills. His previous teaching internships and outreach programs at senior high schools further reflect a deep commitment to education and community service. Kennedy’s career trajectory illustrates a balance of research, teaching, and applied service, making him a well-rounded academic professional.

Research Interest

Kennedy Mensah’s research interests lie at the intersection of mathematics and biology, focusing on the use of mathematical models to address critical health and biological phenomena. His primary areas include tumor-immune interaction modeling, continuum modeling of breast cancer, and the mathematical study of breast cancer immunotherapy using spatio-temporal analysis. He also explores optimal control theory and partial differential equations as applied to biological systems, with additional interests in computational biology, infectious disease modeling, and computational fluid dynamics. His work aims to provide quantitative insights into disease progression, treatment strategies, and epidemic control. Kennedy’s multidisciplinary research approach bridges mathematics, health sciences, and computational techniques, enabling him to develop models that are not only theoretically rigorous but also practically applicable. His commitment to mathematical biology and public health demonstrates a passion for using analytical tools to solve real-world problems, with potential impacts in medicine, epidemiology, and environmental health.

Award and Honor

Kennedy Mensah has been recognized for his academic excellence and research potential through several prestigious scholarships and awards. Notably, he received the GNPC Postgraduate Scholarship (2019–2021), awarded to outstanding graduate students in Ghana, which supported his MPhil studies in Applied Mathematics. He also earned the Barclays Tertiary Scholarship (2017–2018), a competitive award for academically strong and financially needy students, and was a recipient of the Mathematics, Science, and Technology Scholarship Scheme (MASTESS) (2016–2017), which supports students excelling in STEM disciplines. These honors reflect not only his strong academic performance but also recognition of his potential to contribute meaningfully to science and society. Kennedy’s ability to secure competitive scholarships from multiple institutions underscores his determination, intellectual merit, and commitment to academic growth. These accolades have played a significant role in supporting his education and research, enabling him to focus on developing high-impact solutions through applied mathematics.

Conclusion

Kennedy Mensah is a driven and innovative researcher with a firm grounding in applied mathematics, a growing record of academic publications, and a deep commitment to using mathematical tools for solving pressing health and societal issues. His journey from undergraduate studies through to a PhD candidacy reflects consistent academic excellence and intellectual growth. With strong experience in teaching, research collaboration, and national survey supervision, Kennedy exemplifies the qualities of a rising academic leader. His interdisciplinary research, especially in mathematical biology and disease modeling, addresses critical areas in public health and biomedical science. Recognized through competitive scholarships and engaged in impactful national initiatives, he has demonstrated both scholarly promise and societal relevance. Kennedy’s blend of technical skill, academic rigor, and community involvement positions him as an outstanding candidate for the Best Researcher Award. His future prospects in academia and research are promising, and he is poised to make lasting contributions in his field.

Publications Top Notes

  • Title: Stability analysis and optimal control strategies of Q fever transmission dynamics in Ghana’s Tropical Grassland
    Authors: Dominic Otoo, Kennedy Mensah, Eugene Adjei, Baaba Abassawah Danquah, Hawa Adusei, Razak Gbemmie Chuaya
    Year: 2025
    Citation: Modeling Earth Systems and Environment, DOI: 10.1007/S40808-025-02341-Y

  • Title: Transmission dynamics of yellow fever with toxic infected population
    Authors: Elvis Kobina Donkoh, Baaba Abassawah Danquah, Francois Mahama, Dauda Musah, Francis Tuffour, Kennedy Mensah, Kwame Kyei Danquah
    Year: 2025
    Citation: Communications in Mathematical Biology and Neuroscience, DOI: 10.28919/cmbn/9036

  • Title: Modeling the spatiotemporal dynamic heterogeneity of pre-synthetic stage breast cancer tumor-immune interactions
    Authors: Kennedy Mensah, Joseph Abeiku Ackora-Prah, Dominic Otoo, Atta Kwame Gyamfi
    Year: 2025
    Citation: Partial Differential Equations in Applied Mathematics, DOI: 10.1016/j.padiff.2025.101200

  • Title: Dynamic Characterization of Parametric Structures and Perturbation Analysis of Blood Flow in the Cranial Arteries
    Authors: Dominic Otoo, Kennedy Mensah, K.A. Adu-Poku, D. Gyamfi, Baaba Abassawah Danquah, Hawa Adusei
    Year: 2024
    Citation: Journal of Fluid Flow, Heat and Mass Transfer, DOI: 10.11159/jffhmt.2024.021

  • Title: Dynamic analysis of Q-fever transmission among cattle in the Tropical Savannah Grassland zone of Ghana (Preprint)
    Authors: Dominic Otoo, Kennedy Mensah, Eugene Adjei, Baaba Abassawah Danquah, Hawa Adusei, Razak G. Chuaya
    Year: 2024
    Citation: bioRxiv Preprint, DOI: 10.1101/2024.11.15.623876

Naeem Faraz | Mathematics | Best Faculty Award

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Prof. Naeem Faraz | Mathematics | Best Faculty Award

Professor at University of Shanghai for Science and Technology, China

Dr. Naeem Faraz is a distinguished academic and researcher with dual Ph.D.s in Computational Mathematics and Textile Engineering, specializing in interdisciplinary research that bridges mathematics, engineering, and data science. As a Foreign Expert at Donghua University, Shanghai, China, he has supervised numerous undergraduate and graduate theses while delivering lectures to students from 60+ nationalities. His contributions extend to developing innovative courses and conducting research in applied mathematics, fluid dynamics, and textile engineering. With over 75 publications in high-impact factor journals, his research has significantly contributed to nanotechnology, heat transfer, and statistical modeling. In addition to his academic contributions, Dr. Faraz has actively participated in national and international research projects, showcasing his expertise in computational tools and data analytics. His career is marked by an unwavering commitment to advancing scientific knowledge and mentoring the next generation of researchers, making him a highly respected figure in his field.

Professional Profile

Education

Dr. Naeem Faraz holds an impressive academic background with dual doctorates in Computational Mathematics from Shanghai University, China, and Textile Engineering from Donghua University, China. His Ph.D. research in mathematics focused on viscoelastic flows of PTT fluids, while his doctoral work in textile engineering explored bubble electrospinning for fabricating nanoporous fibers and their mathematical analysis. Before obtaining his Ph.D.s, he earned an M.Phil. in Fluid Mechanics from Quaid-i-Azam University, Islamabad, Pakistan, where he analyzed the thin film flow of an unsteady shrinking sheet through a porous medium. Additionally, he completed an M.Sc. in Applied Mathematics and a B.Sc. in Applied Mathematics & Statistics from leading Pakistani institutions. His educational foundation in mathematics, statistics, and engineering has provided him with the analytical and computational expertise to engage in interdisciplinary research across multiple scientific domains.

Professional Experience

Dr. Naeem Faraz has built a robust academic and research career, serving as a Foreign Expert at Donghua University, China, since 2016. In this role, he has been actively involved in lecturing, supervising research projects, and mentoring students. Prior to this, he completed a Post-Doctoral Fellowship at the Institute of Mathematics and Mechanics, Shanghai University, where he conducted advanced research in computational mathematics. His responsibilities extend beyond teaching, including course development, research supervision, and participation in professional conferences. Dr. Faraz has also contributed to various national and international research collaborations, particularly in applied mathematics, textile engineering, and data analytics. His diverse expertise enables him to work across disciplines, integrating fluid mechanics, nanotechnology, and computational simulations to address complex scientific problems. He has also been involved in training junior lecturers and teaching assistants, ensuring the growth of the academic community through knowledge sharing and mentorship.

Research Interests

Dr. Naeem Faraz’s research spans multiple disciplines, including fluid mechanics, heat transfer, nanotechnology, and data science. He specializes in natural convection and conduction analysis, investigating the effects of nanofluids on heat transfer and the behavior of phase change materials in thermal energy systems. His expertise in fiber fabrication and nanotechnology extends to electrospinning of nanoporous fibers and their mechanical properties. Additionally, he focuses on fluid dynamics, particularly the behavior of Newtonian and non-Newtonian fluids, using computational simulations and mathematical modeling. His work in data science and statistical analysis integrates machine learning techniques to predict and optimize fluid behaviors and thermal efficiency, making his research highly relevant to modern scientific advancements. His interdisciplinary approach enables him to bridge gaps between engineering, mathematics, and computational sciences, further enhancing the applicability of his research.

Awards and Honors

Dr. Naeem Faraz has received numerous accolades throughout his academic career, recognizing his contributions to research and education. His Web of Science Citation Index (SCI) exceeds 1254, with an h-index of 28, reflecting his significant impact in the scientific community. His research achievements have earned him a Cumulative Impact Factor exceeding 125, highlighting the quality of his published work. He has been awarded the Best International Student Award, along with multiple merit-based scholarships during his M.Phil. studies. He also secured CSC and SGS scholarships during his doctoral studies, emphasizing his academic excellence. Additionally, Dr. Faraz ranked first in his college during both B.Sc. and F.Sc., demonstrating his consistent dedication to academic success. His international reputation, scholarly impact, and academic excellence make him a leading researcher in his field, further cementing his legacy as an outstanding educator and scientist.

Conclusion

Dr. Naeem Faraz is a highly qualified, well-published, and interdisciplinary researcher with a strong record in academia. His contributions in research, teaching, and international collaborations make him a very strong contender for the Research for Best Faculty Award. With further leadership roles and independent funding, he could further solidify his standing as an elite academic researcher.

Publications Top Notes

  1. Review on fiber morphology obtained by bubble electrospinning and blown bubble spinning

    • Authors: JH He, HY Kong, RR Yang, H Dou, N Faraz, L Wang, C Feng

    • Year: 2012

    • Citations: 199

  2. The effects of variable viscosity and thermal conductivity on a thin film flow over a shrinking/stretching sheet

    • Authors: Y Khan, Q Wu, N Faraz, A Yildirim

    • Year: 2011

    • Citations: 187

  3. An effective modification of the homotopy perturbation method for MHD viscous flow over a stretching sheet

    • Authors: M Fathizadeh, M Madani, Y Khan, N Faraz, A Yıldırım, S Tutkun

    • Year: 2013

    • Citations: 117

  4. Fractional variational iteration method via modified Riemann–Liouville derivative

    • Authors: N Faraz, Y Khan, H Jafari, A Yildirim, M Madani

    • Year: 2011

    • Citations: 92

  5. Application of modified Laplace decomposition method for solving boundary layer equation

    • Authors: Y Khan, N Faraz

    • Year: 2011

    • Citations: 86

  6. Fractional variational iteration method for fractional initial-boundary value problems arising in the application of nonlinear science

    • Authors: Y Khan, N Faraz, A Yildirim, Q Wu

    • Year: 2011

    • Citations: 83

  7. Exp‐function method for solitary and periodic solutions of Fitzhugh‐Nagumo equation

    • Authors: S Tauseef Mohyud‐Din, Y Khan, N Faraz, A Yıldırım

    • Year: 2012

    • Citations: 76

  8. An auxiliary parameter method using Adomian polynomials and Laplace transformation for nonlinear differential equations

    • Authors: Y Khan, H Vazquez-Leal, N Faraz

    • Year: 2013

    • Citations: 69

  9. Numerical solution of logistic differential equations by using the Laplace decomposition method

    • Authors: S Islam, Y Khan, N Faraz, F Austin

    • Year: 2010

    • Citations: 69

  10. New soliton solutions of the generalized Zakharov equations using He’s variational approach

  • Authors: Y Khan, N Faraz, A Yildirim

  • Year: 2011

  • Citations: 67

  1. Analytical approach to two-dimensional viscous flow with a shrinking sheet via variational iteration algorithm-II

  • Authors: N Faraz, Y Khan, A Yildirim

  • Year: 2011

  • Citations: 63

  1. A new fractional analytical approach via a modified Riemann–Liouville derivative

  • Authors: Y Khan, Q Wu, N Faraz, A Yildirim, M Madani

  • Year: 2012

  • Citations: 61

  1. A coupling method of homotopy perturbation and Laplace transformation for fractional models

  • Authors: Y Khan, N Faraz, S Kumar, A Yildirim

  • Year: 2012

  • Citations: 52

  1. Thin film flow of a second grade fluid over a stretching/shrinking sheet with variable temperature-dependent viscosity

  • Authors: S Nadeem, N Faraz

  • Year: 2010

  • Citations: 51

  1. A series solution of the long porous slider

  • Authors: Y Khan, N Faraz, A Yildirim, Q Wu

  • Year: 2011

  • Citations: 47

  1. A new approach to differential difference equations

  • Authors: Y Khan, N Faraz

  • Year: 2010

  • Citations: 46

  1. Analytical solution of electrically conducted rotating flow of a second grade fluid over a shrinking surface

  • Authors: N Faraz, Y Khan

  • Year: 2011

  • Citations: 43

  1. Heat transfer analysis on the magnetohydrodynamic flow of a non-Newtonian fluid in the presence of thermal radiation: an analytic solution

  • Authors: Y Khan, Q Wu, N Faraz, A Yıldırım, ST Mohyud-Din

  • Year: 2012

  • Citations: 38

  1. A new approach to Van der Pol’s oscillator problem

  • Authors: Y Khan, M Madani, A Yildirim, MA Abdou, N Faraz

  • Year: 2011

  • Citations: 37

  1. An efficient new perturbative Laplace method for space-time fractional telegraph equations

  • Authors: Y Khan, J Diblík, N Faraz, Z Šmarda

  • Year: 2012

  • Citations: 36