Kamilu Adedokun | Applied Mathematics Award | Best Researcher Award

Kamilu Adedokun, Michigan technological university, United States

🌟 Kamilu Adedokun, a dedicated mathematician with a passion for applying calculations to enhance global health. Currently pursuing a Ph.D. at Michigan Technological University, he holds a Master’s in Applied Mathematics from Osun State University. With expertise in biomathematics, his research focuses on innovative solutions to health challenges. Kamilu’s contributions include pioneering models for diseases like tuberculosis and COVID-19, showcased in prestigious publications. As a committed educator, he has enriched minds in Nigeria and the USA, nurturing future mathematicians. Kamilu’s journey reflects a blend of academic excellence, research prowess, and a heart for community service. 📊✨

Publication Profile

Google Scholar

🎓 Academic Journey:

Kamilu Adedokun embarked on an academic journey driven by a fervent desire to revolutionize healthcare through mathematics. Starting with a Bachelor’s in Mathematics from Osun State University, Nigeria, in 2016, he maintained an impressive CGPA of 4.27. His pursuit of excellence led him to obtain a Master’s in Applied Mathematics, graduating as the best student in the field in 2020. Currently, he’s on the path towards a Ph.D. in Philosophy at Michigan Technological University, USA, focusing on applied mathematics with a keen interest in biomathematics.

🧮 Research and Work Experience:

Throughout his career, Kamilu has blended academia with practical experience. He has served as a Graduate Teaching Assistant at Michigan Technological University, honing his skills in guiding budding mathematicians. Previously, he contributed significantly as an Assistant Lecturer and Graduate Teaching Assistant at Osun State University, Nigeria. His research endeavors, particularly in tuberculosis and epidemic modeling, have garnered attention and recognition, evident through his publications in esteemed journals.

Awards:

Kamilu’s dedication and academic prowess have been duly rewarded. He has received numerous accolades, including departmental and faculty prizes for academic excellence. His commitment to excellence has been consistent throughout his academic journey, marking him as a standout scholar in his field.

Research Focus:

Kamilu Adedokun’s research primarily focuses on mathematical modeling and analysis of infectious diseases, with a specialization in applying fractional calculus methods. His work spans various diseases, including tuberculosis, COVID-19, and HIV-malaria co-infection dynamics. Through innovative approaches like the Laplace Adomian decomposition method and modified homotopy perturbation method, he delves into the intricate dynamics of disease transmission and evaluates the effectiveness of control strategies. With a blend of mathematical rigor and practical applicability, Kamilu contributes significantly to the field of epidemiology, paving the way for more effective disease management and control strategies. 🦠📊

Publication Top Notes :

📚A Caputo fractional order epidemic model for evaluating the effectiveness of high-risk quarantine and vaccination strategies on the spread of COVID-19by KA Adedokun et al., published in Beni-Suef University Journal of Basic and Applied Sciences in 2022. 📊 Cited by 19.

📚Modified homotopy perturbation method and its application to analytical solitons of fractional-order Korteweg–de Vries equation by KA Adedokun et al., published in Healthcare Analytics in 2023. 🩺 Cited by 16.

📚 A novel tuberculosis model incorporating a Caputo fractional derivative and treatment effect via the homotopy perturbation methodby KA Adedokun et al., published in Bulletin of the National Research Centre in 2023. 🦠 Cited by 4.

📚 The modified homotopy perturbation method and its application to the dynamics of price evolution in Caputo-fractional order Black Scholes model by KA Adedokun et al., published in Results in Control and Optimization in 2024. 🔬

Mathematical Analysis of Sensitive Parameters on the Dynamical Transmission of HIV-Malaria Co-infection

Pembuktian Kasus Malpraktek Di Indonesia

On the Solution of Volterra Integro-differential Equations using a Modified Adomian Decomposition Method

Optimal control analysis on mathematical model of dynamical transmission of hiv-malaria co-infection

Assist Prof Dr. Fatemeh Gharari | Applied Mathematics | Women Researcher Award

Assist Prof Dr. Fatemeh Gharari,University of Mohaghegh Ardabili, Iran

👩‍🏫 Fatemeh Gharari, an Iranian statistician and Assistant Professor at the University of Mohaghegh Ardabili, specializes in Bayesian Statistics and Complex Systems. 📊 With a PhD in Mathematical Statistics, she has authored numerous papers and books, exploring topics like fractional calculus and stochastic processes. 📚 As the Managing Editor of the Journal of Hyperstructures, she actively contributes to academic discourse. 🎓 Recognized for her academic achievements, she’s received awards and honors, including distinctions for her doctoral research. 💡 Passionate about teaching and cognitive science, she mentors students and engages in research projects focusing on statistical methods and applications.

Publication Profile:

Google scholar

Education:

🎓 Fatemeh Gharari’s academic journey began with a BSc in Applied Mathematics from Payamnoor University, Ardabil, Iran, laying the foundation for her mathematical prowess. 📚 She continued her pursuit of knowledge, obtaining an MSc in Pure Mathematics from the University of Mohaghegh Ardabili, Ardabil, Iran, further honing her analytical skills. 💡 Driven by a passion for statistical inquiry, she embarked on a PhD in Mathematical Statistics at the same institution, delving deep into the intricacies of data analysis and inference. 🌍 To broaden her academic horizons, she became a Visiting Student at McMaster University, Hamilton, Ontario, Canada, enriching her scholarly perspective with international exposure.

Awards and Honors:

🏆 Fatemeh Gharari’s academic excellence has been recognized with several prestigious honors and awards. 🌟 She stands out as the top graduate of the Department of Statistics at the University of Mohaghegh Ardabili, showcasing her exceptional dedication and talent. 🎓 In 2017, she was hailed as a Distinguished PhD Student within the same department, highlighting her significant contributions to statistical research and scholarship. 📈 Additionally, her academic prowess was evident early on, as she was honored as a Distinguished Student in the Province of Ardabil back in 2000, laying the groundwork for her future academic achievements.

Research Focus:

Fatemeh Gharari’s research focus lies predominantly in the realm of fractional calculus and its applications in statistics. 📊 Her work delves into the intricacies of discrete fractional distributions, stochastic processes, and special functions, aiming to provide novel insights and methodologies for statistical inference. Through her exploration of fractional calculus, she contributes to advancing the understanding of complex systems and mathematical modeling in various fields. With a keen interest in Bayesian statistics and mathematical analysis, Gharari’s research endeavors seek to bridge theoretical concepts with practical applications, paving the way for innovative approaches to data analysis and decision-making processes. 🌟

Publication Top Notes:

The discrete delta and nabla Mittag-Leffler distributions📊 Cited by 8, 2018.
Space-time fractional porous media equation: Application on modeling of S&P500 price return📈 Cited by 6, 2021.
A New Method for Generating Discrete Analogues of Continuous Distributions.📊 Cited by 6, 2018.
Some Fractional Special Functions and Fractional Moments📚 Cited by 6, 2013.
Bayesian estimation in delta and nabla discrete fractional Weibull distributions📊 Cited by 5, 2016.
The generalized random variable appears the trace of fractional calculus in statistics📚 Cited by 5, 2015.
A new stochastic order based on discrete Laplace transform and some ordering results of the order statistics📊 Cited by 4, 2023.
An application of discrete fractional calculus in statistics📊 Cited by 3, 2018.
Variable-order porous media equations: Application on modeling the S&P500 and Bitcoin price return📈 Cited by 2, 2024.
A Pliant Model to Count Data: Nabla Poisson–Lindley Distribution with a Practical Data Example📊 Cited by 1, 2023.