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

Ahmad Abubakar Suleiman | Mathematics | Best Researcher Award

Published on by Citation Awards

Mr. Ahmad Abubakar Suleiman | Mathematics | Best Researcher Award

Mr. Ahmad Abubakar Suleiman, Universiti Teknologi Petronas, Malaysia

Mr. Ahmad Abubakar Suleiman is a dedicated statistician and academic currently pursuing a PhD in Statistics at Universiti Teknologi Petronas, Malaysia (2022–2024). He holds an MSc in Statistics, graduating with distinction (First Class Division: 9.00) from Sharda University, India, in 2015, and a BSc (Hons) in Statistics (Second Class Upper: 4.00) from Kano University of Science and Technology, Wudil, in 2011.

His areas of specialization include Biostatistics, Survival Analysis, Research Methods in Public Health, Health Informatics, Statistical Modeling, Epidemiology, Spatial Statistics, Probability Theory, and Time Series Analysis. With a strong foundation in applied and theoretical statistics, Mr. Suleiman excels in both quantitative research and practical data modeling applications.

Education

PhD in Statistics (in view)

Institution: Universiti Teknologi Petronas, Malaysia

Duration: 2022–2024

M.Sc. in Statistics (First Class Division: CGPA 9.00)

Institution: Sharda University, India

Duration: 2014–2015

B.Sc. (Hons) in Statistics (Second Class Upper: CGPA 4.00)

Institution: Kano University of Science and Technology, Wudil, Nigeria

Duration: 2008–2011

Secondary School Certificate

Institution: Kanta Unity College, Argungu, Nigeria

Duration: 2001–2007

Primary School Leaving Certificate

Institution: Sani Mainagge Special Primary School, Nigeria

Duration: 1996–2001

Professional Profile

ORCID Profile

Professional Experience

Lecturer II

Kano University of Science and Technology, Wudil
2018 – Present

Assistant Lecturer

Kano University of Science and Technology, Wudil
2016 – 2018

Part-Time Lecturer

Hussaini Adamu Federal Polytechnic, Kazaure
2015 – 2017

Mathematics Teacher (NYSC)

Ministry of Education, Gombe State
2012 – 2013

Mathematics Teacher

Brains College, Kano
2013 – 2014

Statistics Trainee

Kano State Ministry of Budget and Planning
2010 – 2011

Top Notable Publications

A New Extension of the Gumbel Distribution with Biomedical Data Analysis

Journal: Journal of Radiation Research and Applied Sciences

DOI: 10.1016/j.jrras.2024.101055

Contributors: Hanita Daud, Ahmad Abubakar Suleiman, Aliyu Ismail Ishaq, Najwan Alsadat, Mohammed Elgarhy, Abubakar Usman, Pitchaya Wiratchotisatian, Usman Abdullahi Ubale, Yu Liping.

 

A Novel Extended Kumaraswamy Distribution and Its Application to COVID‐19 Data

Journal: Engineering Reports

DOI: 10.1002/eng2.12967

Contributors: Ahmad Abubakar Suleiman, Hanita Daud, Aliyu Ismail Ishaq, Mahmod Othman, Huda M. Alshanbari, Sundus Naji Alaziz.

 

Adopting a New Sine-Induced Statistical Model and Deep Learning Methods for Music and Reliability Data Exploration

Journal: Alexandria Engineering Journal

DOI: 10.1016/j.aej.2024.07.104

Contributors: Yanli Yu, Yan Jia, Mohammed A. Alshahrani, Osama Abdulaziz Alamri, Hanita Daud, Javid Gani Dar, Ahmad Abubakar Suleiman.

 

Log-Kumaraswamy Distribution: Features and Applications

Journal: Frontiers in Applied Mathematics and Statistics

DOI: 10.3389/fams.2023.1258961

Contributors: Aliyu Ismail Ishaq, Ahmad Abubakar Suleiman, Hanita Daud, Narinderjit Singh Sawaran Singh, Mahmod Othman, Sokkalingam R., Pitchaya Wiratchotisatian, Abubakar Usman, Abba S.I.

 

The Odd Beta Prime Inverted Kumaraswamy Distribution with Application to COVID-19 Mortality Rate in Italy

Conference Paper

DOI: 10.3390/ASEC2023-16310

Contributors: Ahmad Abubakar Suleiman, Hanita Daud, Aliyu Ismail Ishaq, Mahmod Othman, Rajalingam Sokkalingam, Abubakar Usman, Abdulhameed Ado Osi.

 

Comparative Analysis of Machine Learning and Deep Learning Models for Groundwater Potability Classification

Conference Paper

DOI: 10.3390/ASEC2023-15506

Contributors: Ahmad Abubakar Suleiman, Arsalaan Khan Yousafzai, Muhammad Zubair.

 

Transformed Log-Burr III Distribution: Structural Features and Application to Milk Production

Conference Paper

DOI: 10.3390/ASEC2023-15289

Contributors: Aliyu Ismail Ishaq, Ahmad Abubakar Suleiman, Abubakar Usman, Hanita Daud, Rajalingam Sokkalingam.

 

A New Odd Beta Prime-Burr X Distribution with Applications to Petroleum Rock Sample Data and COVID-19 Mortality Rate

Journal: Data

DOI: 10.3390/data8090143

Contributors: Ahmad Abubakar Suleiman, Hanita Daud, Narinderjit Singh Sawaran Singh, Aliyu Ismail Ishaq, Mahmod Othman.

Tropically Adapted Passive Building: Analytical Approach Using Regression and Probability Models

Journal: Sustainability

DOI: 10.3390/su151813647

Contributors: Siti Fatihah Salleh, Ahmad Abubakar Suleiman, Hanita Daud, Mahmod Othman, Rajalingam Sokkalingam, Karl Wagner.

 

Forecasting Volatility of Residential Property Prices in Malaysia: Garch Models Comparison

Journal: Real Estate Management and Valuation

DOI: 10.2478/remav-2023-0018

Contributors: Ahmad Abubakar Suleiman, Mahmod Othman, Hanita Daud, Mohd Lazim Abdullah, Evizal Abdul Kadir, Ibrahim Lawal Kane, Abdullah Husin.

 

A Novel Odd Beta Prime-Logistic Distribution: Properties and Applications to Engineering and Environmental Data

Journal: Sustainability

DOI: 10.3390/su151310239

Contributors: Ahmad Abubakar Suleiman, Hanita Daud, Narinderjit Singh Sawaran Singh, Mahmod Othman, Aliyu Ismail Ishaq, Rajalingam Sokkalingam.

Conclusion

Mr. Ahmad Abubakar Suleiman is a strong candidate for the Research for Best Researcher Award due to his significant contributions to statistical modeling, interdisciplinary research, and impactful applications in critical areas. His innovative methodologies and collaborative spirit make him a deserving nominee.