Mfano Charles | Mathematics | Most Reader’s Article Award

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Mfano Charles | Mathematics | Most Reader’s Article Award

Ms Mfano Charles ,The Nelson Mandela African Instution of,Tanzania

Thadei D.S. Linus is a PhD candidate in Mathematics and Computational Science at The Nelson Mandela African Institution of Science and Technology (2022–present). He holds an MSc in Mathematical and Computer Science (2019) and a BSc in Mathematics & Physics Education (2012). His research focuses on Mathematical Epidemiology, Population Dynamics, Machine Learning, and Optimal Control. Skilled in Python, MATLAB, and Mathematica, he specializes in modeling and analyzing complex systems. His work includes prey-predator modeling and data-driven decision-making. 📊🔬 His 2018 publication explores harvested prey-predator systems with prey refuge. 📖

Publication Profile

Google scholar

Education

[Name] is a dedicated researcher pursuing a PhD in Mathematics and Computational Science & Engineering (2022–present) at The Nelson Mandela African Institution of Science and Technology 🏛️. He holds a Master’s degree (2017–2019) in Mathematical and Computer Science & Engineering, specializing in Applied Mathematics and Computational edSciences 🎓. His academic journey began with a B.Sc. in Mathematics & Physics Education (2009–2012) at Mwenge University College of Education. Earlier, he earned his Advanced Certificate of Secondary Education (2006–2008) at Tarime Secondary School and his Certificate of Secondary Education (2002–2005) at Busolwa Secondary School. 📖✨

Career Objectives

Physics and mathematics play a crucial role in solving diverse physical problems across various fields, including Biology 🧬, Education 📚, Environment 🌍, Health 🏥, Population 📊, Science, and Technology 💡. Advanced computational techniques enable the design, construction, and analysis of models using large datasets 📈 with powerful software tools like PYTHON 🐍, MATLAB ⚙️, and MATHEMATICA 🔢. Effective data mining and analysis help extract meaningful insights, allowing professionals to make informed decisions. Presenting findings through reporting tools ensures clarity and strategic application, contributing to research, innovation, and efficient problem-solving across multiple disciplines.

Research and Publications

Mfano Charles 📖, along with Thadei D.S. and Linus, published a significant research paper in 2018 titled “Modelling and Numerical Simulation of Harvested Prey–Predator System Incorporating a Prey Refuge” 🦌🐅. This study appeared in the Journal of Mathematical Theory and Modelling (Vol. 8, No. 8, pp. 148-160) 📚, offering valuable insights into ecological dynamics. Additionally, his Master’s thesis focused on “Modelling Optimal Control of Harvested Prey–Predator System Incorporating a Prey Refuge” 🎯📊. His work contributes to mathematical modeling, providing solutions for sustainable resource management and ecological balance 🌿⚖️

Experience

Since 2019, Mfano Charles has been serving as an Assistant Lecturer at the College of Business Education (CBE) 🎓, where he delivers lectures, seminars, and tutorials 📖, evaluates examinations 📝, supervises student projects 📊, and contributes to research and public service. From 2012 to 2014, he worked as a Teaching Assistant at Wama-Nakayama Girls Secondary School and Agape Lutheran Junior Seminary 🏫, teaching Advanced Mathematics and Physics 🧮⚛️. His responsibilities included grading assessments ✅, conducting extra tutorials 📚, and mentoring student clubs 🎯. His dedication to education and research continues to impact students and academia positively.

Awards

Mfano Charles has received several prestigious awards in recognition of his academic excellence and contributions 🎖️. In 2022, he was honored with a Scholarship Award from the College of Business Education (CBE) 🎓. In 2017, he secured a scholarship from the African Development Bank (AfDB) 🌍🏦 to pursue an MSc. in Applied Mathematics and Computational Science 🧮💻. His journey of excellence began in 2005, when he was named the Best Student in Mathematics at Busolwa Secondary School 🏅📚. These achievements highlight his dedication to mathematics, research, and continuous learning 📖🚀

Presentations

Mfano Charles has continually enhanced his expertise through specialized training and workshops 📚🎓. In 2018, he completed a course on Variation of Calculus at the University of Dar es Salaam (UDSM) 🧮📖, strengthening his mathematical modeling and analytical skills. In 2022, he participated in the Working Life Interaction in Modelling and Data Skills (WOLIMODS) program 📊💻, a collaborative initiative involving NM-AIST, UDSM, the University of Rwanda, and Finnish universities 🌍🏫. This program enriched his knowledge in data science, modeling, and real-world problem-solving, equipping him with cutting-edge skills for research and academia.

Research Focus

Mfano Charles specializes in mathematical modeling and numerical simulations 🧮💻, focusing on prey-predator dynamics in ecological systems 🌿🐺. His research explores how harvesting and prey refuge impact population sustainability 📉📈. Through mathematical theories and simulations, he aims to develop optimal control strategies to balance species conservation and resource use ⚖️🌍. His Master’s thesis delves into optimizing harvested prey-predator models, incorporating a prey refuge to ensure ecosystem stability 🏞️🔬. His expertise contributes to applied mathematics, ecology, and sustainable resource management, making his research crucial for biodiversity conservation and ecological forecasting .

Publication top notes

Mathematics teaching and learning activity model for blended instructions in Tanzanian higher education

Parameters estimation and uncertainty assessment in the transmission dynamics of rabies in humans and dogs

Mathematical model to assess the impact of contact rate and environment factor on transmission dynamics of rabies in humans and dogs

The Effect of Maximum Residue Levels (MRLs) on Fresh Agricultural Exports in Tanzania: Evidence from Horticultural Exports in Arusha

Modelling optimal control of harvested prey predator system incorporating a prey refuge

Noor Saeed Khan | Mathematics | Research Citation Excellence Award

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Assist. Prof. Dr. Noor Saeed Khan | Mathematics | Research Citation Excellence Award

Assist. Prof. Dr. Noor Saeed Khan, University of Education Lahore, Attock Campus, Attock, Pakistan

Assistant Professor Dr. Noor Saeed Khan is currently serving as an Assistant Professor of Mathematics at the University of Education Lahore, Attock Campus, Pakistan. His academic and professional career highlights his expertise in fluid mechanics, mathematical modeling, and numerical analysis. Dr. Khan’s teaching portfolio includes various undergraduate and postgraduate mathematics courses, and he has significantly contributed to student supervision at multiple academic levels.

Education:

SSC
Institution: Govt. High School Sabir Abad, Karak, Khyber Pakhtunkhwa, Pakistan

FSc
Institution: Govt. Degree College Sabir Abad, Karak, Khyber Pakhtunkhwa, Pakistan

BSc
Institution: Govt. Post Graduate College Karak, Khyber Pakhtunkhwa, Pakistan

MSc Mathematics
Institution: Department of Mathematics, University of Peshawar, Peshawar, Khyber Pakhtunkhwa, Pakistan

MS Mathematics
Institution: FAST-National University of Computer and Emerging Sciences, Hayat Abad, Peshawar Campus

PhD Mathematics
Institution: Department of Mathematics, Abdul Wali Khan University, Mardan, Khyber Pakhtunkhwa, Pakistan

Post-Doctorate
Title: A Novel Assessment of Nanofluids Thermodynamics Stability Simulated Through Homotopy Analysis Method
Institution: KMUTT-Fixed Point Research Laboratory, Fixed Point Theory and Applications Research Group, Theoretical and Computational Science Center (TaCS), Faculty of Science, King Mongkut’s University of Technology Thonburi (KMUTT), Bangkok, Thailand

Professional Profiles:

Google Scholar

Professional Experience:

Dr. Khan began his career as an Assistant Professor at the University of Education Lahore in 2020 and has served at both the Multan and Attock campuses. His cumulative teaching and research experience span multiple years, contributing to both academic growth and institutional development.

Research Interests:

Dr. Khan’s research areas include:

Fluid Mechanics and Thermodynamics: Expertise in Newtonian and non-Newtonian fluids, nanofluids, and gyrotactic microorganisms.

Numerical Methods and Modeling: Application of advanced mathematical techniques like HAM for solving complex fluid mechanics problems.

He has also led a Higher Education Commission (HEC)-funded research project worth PKR 1 million, focusing on enhanced thermal conductivity in nanofluids.

Publications:

Thin film flow of a second-grade fluid in a porous medium past a stretching sheet with heat transfer
Published in: Alexandria Engineering Journal (Elsevier), Vol. 57, Issue 2, Pages 1019-1031 (2017)
Impact Factor: 6.2
DOI: 10.1016/j.aej.2017.01.036

Thermophoresis and thermal radiation with heat and mass transfer in a magnetohydrodynamic thin film second-grade fluid of variable properties past a stretching sheet
Published in: European Physical Journal Plus (Springer Nature), 132, 11 (2017)
Impact Factor: 2.8
DOI: 10.1140/epjp/i2017-11277-3

Brownian motion and thermophoresis effects on MHD mixed convective thin film second-grade nanofluid flow with Hall effect and heat transfer past a stretching sheet
Published in: Journal of Nanofluids (American Scientific Publisher), 6(5): 812-829 (2017)
Impact Factor: Pending for 2025
DOI: 10.1166/jon.2017.1383

Magnetohydrodynamic nanoliquid thin film sprayed on a stretching cylinder with heat transfer
Published in: Applied Sciences (MDPI), 7(3), 271 (2017)
Impact Factor: 2.5
DOI: 10.3390/app7030271

Mixed convection in gravity-driven thin film non-Newtonian nanofluids flow with gyrotactic microorganisms
Published in: Results in Physics (Elsevier BV), 7:4033-4049 (2017)
Impact Factor: 4.4
DOI: 10.1016/j.rinp.2017.10.017

Flow and heat transfer in water-based liquid film fluids dispensed with graphene nanoparticles
Published in: Results in Physics (Elsevier BV), 8:1143-1157 (2018)
Impact Factor: 4.4
DOI: 10.1016/j.rinp.2018.01.032

Non-Newtonian nanoliquids thin film flow through a porous medium with magnetotactic microorganisms
Published in: Applied Nanoscience (Springer Nature), 8:1523-1544 (2018)
Impact Factor: 3.674
DOI: 10.1007/s13204-018-0834-5

Magnetohydrodynamic second-grade nanofluid flow containing nanoparticles and gyrotactic microorganisms
Published in: Computational and Applied Mathematics (Springer Nature), 37:6332-6358 (2018)
Impact Factor: 2.5
DOI: 10.1007/s40314-018-0683-6

Bioconvection in second-grade nanofluid flow containing nanoparticles and gyrotactic microorganisms
Published in: Brazilian Journal of Physics, 48(4):227-241 (2018)
Impact Factor: 1.5
DOI: 10.1007/s13538-018-0567-7

Study of two-dimensional boundary layer flow of a thin film fluid with variable thermo-physical properties in three-dimensional space
Published in: AIP Advances, 8(10):105318 (2018)
Impact Factor: 2.6
DOI: 10.1063/1.5053808

Conclusion:

Assist. Prof. Dr. Noor Saeed Khan is a strong candidate for the Research Citation Excellence Award, thanks to his prolific contributions to applied mathematics and fluid dynamics. His research is widely published and cited, demonstrating relevance and innovation. To enhance his candidacy, increased community engagement, leadership in funded projects, and interdisciplinary collaborations could further strengthen his impact.