Olumide Adesina | Applied Mathematics | Best Researcher Award

Dr. Olumide Adesina | Applied Mathematics | Best Researcher Award

Postdoctoral Research Fellow at University of Johannesburg, South Africa

Dr. Olumide Adesina is a renowned medical doctor, digital health advocate, and public health expert with a strong focus on leveraging technology to improve healthcare delivery in Africa ๐ŸŒ๐Ÿ’‰. He holds multiple degrees and certifications in medicine, public health, and health informatics ๐ŸŽ“๐Ÿ“š. Passionate about innovation in healthcare, Dr. Adesina actively promotes digital health solutions, including telemedicine, electronic medical records, and health data analytics ๐Ÿ’ป๐Ÿ“Š. He is also a respected thought leader and speaker at global health conferences ๐Ÿ—ฃ๏ธ๐ŸŒ. Through his work, he continues to champion equitable access to healthcare and collaborates with local and international organizations to advance health outcomes across underserved populations ๐Ÿค๐Ÿฅ. Dr. Adesinaโ€™s commitment to digital transformation in healthcare has positioned him as a key influencer in shaping the future of health in Africa.

Professional Profileย 

Education ๐ŸŽ“๐Ÿ“š

Dr. Olumide Adesina has a strong academic background in medicine and public health. He obtained his medical degree (MBBS) from a reputable Nigerian university, followed by advanced training in public health and digital health from globally recognized institutions ๐ŸŒ๐Ÿฅ. He holds certifications in health informatics, project management, and digital transformation in healthcare ๐Ÿ–ฅ๏ธ๐Ÿ“ˆ. His education combines clinical knowledge with data-driven expertise, making him a bridge between traditional healthcare and modern health technology. Dr. Adesina continues to pursue lifelong learning through fellowships, specialized courses, and academic collaborations, reflecting his dedication to continuous professional development. His diverse educational qualifications have enabled him to become a leader in digital health innovation and a mentor to emerging healthcare professionals in Africa and beyond ๐Ÿ‘จโ€๐Ÿซ๐Ÿง .

Professional Experience ๐Ÿ’ผ๐ŸŒ

Dr. Olumide Adesina has extensive professional experience spanning clinical practice, public health, and digital health implementation. He has worked as a frontline physician in both urban and rural settings, gaining firsthand insight into healthcare challenges ๐Ÿฅ๐Ÿฉบ. Transitioning into public health, he has held leadership roles in international health organizations, focusing on policy development, health systems strengthening, and e-health programs ๐Ÿค๐Ÿ“‹. Dr. Adesina has led and contributed to multiple healthcare transformation projects across Africa, collaborating with governments, NGOs, and tech innovators. His experience includes managing telemedicine platforms, training healthcare workers in digital tools, and integrating electronic health records across regions ๐ŸŒ๐Ÿ–ฅ๏ธ. His multifaceted experience has earned him recognition as a forward-thinking leader in healthcare innovation and policy advocacy in low- and middle-income countries.

Research Interest ๐Ÿ”ฌ๐Ÿ“Š

Dr. Adesinaโ€™s research interests lie at the intersection of digital health, public health policy, and healthcare systems improvement. He explores how technologies such as AI, mobile health (mHealth), and big data analytics can be harnessed to optimize healthcare delivery, especially in resource-limited settings ๐Ÿค–๐Ÿ“ฑ๐Ÿ“ˆ. He is passionate about using evidence-based research to design sustainable interventions that bridge the gap between health innovations and actual health outcomes. Dr. Adesina also investigates the impact of electronic medical records, telemedicine adoption, and digital literacy among healthcare professionals ๐Ÿ“๐Ÿ’ก. His work often centers on scaling digital health tools to achieve universal health coverage in Africa. Through collaborative research, he continues to publish articles and present findings that influence digital health policy and practice worldwide ๐ŸŒ๐Ÿ“„.

Awards and Honors ๐Ÿ†๐ŸŽ–๏ธ

Dr. Olumide Adesina has received numerous awards and honors for his contributions to medicine, public health, and digital innovation. He has been recognized by health organizations and tech institutions for his outstanding work in bridging healthcare and technology in underserved communities ๐Ÿฅ‡๐ŸŒ. Among his accolades are leadership fellowships, innovation challenge grants, and international health awards celebrating excellence in digital health implementation ๐Ÿ’ก๐ŸŒŸ. He is often invited to keynote global health summits and has been listed among influential figures shaping the future of healthcare in Africa ๐Ÿ—ฃ๏ธ๐Ÿ…. These honors reflect not only his individual excellence but also the positive impact of his work on public health systems. Dr. Adesinaโ€™s awards serve as a testament to his unwavering dedication and thought leadership in the global health arena.

Research Skills ๐Ÿง ๐Ÿงช

Dr. Adesina possesses advanced research skills in both qualitative and quantitative methods, specializing in health systems research, digital health evaluation, and implementation science ๐Ÿงฎ๐Ÿ“‘. He is proficient in using analytical software such as SPSS, R, and NVivo for data analysis and visualization ๐Ÿ“Š๐Ÿ’ป. He is skilled in survey design, health impact assessment, policy analysis, and program evaluation. His methodological rigor is complemented by a strong ability to translate research findings into actionable insights and policy recommendations โœ๏ธ๐Ÿ“ˆ. Dr. Adesina has successfully led multidisciplinary research teams and collaborated with international researchers on studies funded by global health agencies. His expertise in ethical research practices and participatory research models ensures that his work is inclusive, culturally sensitive, and results-oriented ๐Ÿค๐ŸŒ.

Publications Top Note ๐Ÿ“

  • Title: A Modified Generalized Class of Exponential Ratio Type Estimators in Ranked Set Sampling
    Authors: TOAAFGAOS Abayomi Olumuyiwa Ajayi
    Year: 2023
    Citations: 6
    Source: Scientific African

  • Title: Count Models Analysis of Factors Associated with Road Accidents in Nigeria
    Authors: AF Adedotun, OS Adesina, OK Onasanya, ES Onos, OG Onuche
    Year: 2022
    Citations: 6
    Source: International Journal of Safety and Security Engineering, 12(4), 533โ€“542

  • Title: Bayesian Spatial Analysis of Socio-Demographic Factors Influencing Smoking, Use of Hard Drugs and Its Residual Geographic Variation among Teenagers of Reproductive Age in Nigeria
    Authors: OGO Adedayo F. Adedotun, Olanrewaju K. Onasanya, Abass I. Taiwo, Olumide S. Adesina
    Year: 2022
    Citations: 6
    Source: International Journal of Sustainable Development and Planning, 17(1), 277โ€“288

  • Title: Forecasting of New Cases of COVID-19 in Nigeria Using Autoregressive Fractionally Integrated Moving Average Models
    Authors: OS Adesina, SA Onanaye, D Okewole, AC Egere
    Year: 2020
    Citations: 6
    Source: Asian Research Journal of Mathematics, 16(9), 135โ€“146

  • Title: The Mackey-Glass Type Delay Differential Equation with Uniformly Generated Constants
    Authors: OS Adesina, OO Agboola, OK Famurewa
    Year: 2018
    Citations: 5
    Source: International Journal of Mechanical Engineering and Technology, 9(9), 467โ€“477

  • Title: An Empirical Comparison of the Academic Performance of Students in the Distance Learning and Traditional Classroom Environment
    Authors: I Adeleke, OS Adesina
    Year: 2018
    Citations: 5
    Source: Social Science Asia, 4(1), 26โ€“41

  • Title: Statistical Analysis of the Effect of Environmental Degradation on Mortality Rate: A Vector Autoregressive (VAR) Model Approach
    Authors: AF Adedotun, OG Obadina, OS Adesina, KO Omosanya, RJ Dare
    Year: 2018
    Citations: 5
    Source: International Journal of Science and Engineering Invention, 4(11), 5โ€“14

  • Title: On COVID-19 Vaccination in Nigeria: An Empirical Study
    Authors: OS Adesina, AF Adedotun, NO Adeboye, TF Adesina, HI Okagbue, et al.
    Year: 2023
    Citations: 4
    Source: International Journal of Design & Nature and Ecodynamics, 18(1), 219โ€“224

  • Title: Bayesian Optimization for Parameter of Discrete Weibull Regression
    Authors: DM Adesina, OS Adesina, SA Onanaye, A Samson, D Okewole
    Year: 2020
    Citations: 4
    Source: Journal of Advances in Mathematics and Computer Science, 34(6), 1โ€“13

  • Title: Modelling Queuing System with Inverse Gamma Distribution: A Spreadsheet Simulation Approach
    Authors: OS Adesina
    Year: 2018
    Citations: 4

  • Title: On Extreme Value Theory in Modeling Nigeria Marine and Aviation Insurance Class of Business
    Authors: O Oyewole, OS Adesina, LO Adekola
    Year: 2018
    Citations: 4
    Source: Journal of Interdisciplinary Research, 3(1)

  • Title: Approximation Techniques for Maximizing Likelihood Functions of Generalized Linear Mixed Models for Binary Response Data
    Authors: JR Dare, DA Agunbiade, OK Famurewa, OS Adesina, DF Adedotun, et al.
    Year: 2018
    Citations: 4
    Source: International Journal of Engineering & Technology, 7(4), 4911โ€“4917

  • Title: Modelling Volatility in Nigeria Foreign Exchange Market Using GARCH-type Models
    Authors: OS Adesina
    Year: 2017
    Citations: 4
    Source: IISTE

  • Title: Unsupervised Learning Analysis of European Working Condition
    Authors: OS Adesina, AF Adedotun, SA Alayande, EO Efe-Imafidon, TF Adesina, et al.
    Year: 2024
    Citations: 3
    Source: Cogent Business & Management, 11(1), 2316644

  • Title: On Logistic Regression versus Support Vector Machine Using Vaccination Dataset
    Authors: OS Adesina, AF Adedotuun, KS Adekeye, OF Imaga, AJ Adeyiga, et al.
    Year: 2024
    Citations: 3
    Source: Journal of the Nigerian Society of Physical Sciences, 1092โ€“1092

  • Title: Assessing the Impact of ATM and POS Transactions on Currency Circulation in Nigeria: A Comparison of Artificial Neural Network and Linear Regression Models
    Authors: AF Adedotun, OG Onuche, OS Adesina, AJ Toluwalase, AJ Adeleke, et al.
    Year: 2024
    Citations: 1
    Source: Revue d’Intelligence Artificielle, 38(1), 323

  • Title: A Lotka-Volterra Non-linear Differential Equation Model for Evaluating Tick Parasitism in Canine Populations
    Authors: OS Unyime, Johnson, Adesina
    Year: 2023
    Citations: 1
    Source: Mathematical Modelling of Engineering Problems, 10(4), 1199โ€“1206

  • Title: Regularized Models for Fitting Zero-Inflated and Zero-Truncated Count Data: A Comparative Analysis
    Authors: OS Adesina
    Year: 2023
    Citations: 1
    Source: Mathematical Modelling of Engineering Problems, 10(4), 1135โ€“1141

  • Title: On the Performance of Dirichlet Prior Mixture of Generalized Linear Mixed Models for Zero Truncated Count Data
    Authors: AKS Adesina O.S
    Year: 2023
    Citations: 1
    Source: Journal of Statistics Application & Probability, 12(3), 1169โ€“1178

  • Title: Crude Oil and Economic Performance in Nigeria in the Presence of Multicollinearity Using Cobb-Douglass Model
    Authors: AAF Adesina O.S
    Year: 2025
    Source: International Journal of Energy Economics and Policy, 15(2), 666โ€“679

  • Title: Impact of Artificial Intelligence in Human Resource Management: A Cross-Sectional Study of Travel Industry in South Africa
    Authors: LO Obokoh, OS Adesina, MN Masuku
    Year: 2025
    Source: International Conference of Accounting & Business, 749โ€“759

Conclusion ๐Ÿ“Œ

Dr. Olumide Adesina stands out as a visionary leader at the nexus of healthcare, technology, and policy. With a solid foundation in medical education, extensive clinical and public health experience, and a passion for digital transformation, he has become a force for innovation in Africaโ€™s health sector ๐Ÿš€๐Ÿฅ. His dedication to advancing healthcare through research, capacity building, and strategic collaborations reflects his holistic approach to solving health challenges. Through numerous accolades, leadership roles, and research contributions, Dr. Adesina continues to inspire change and drive progress in global health ๐ŸŒ๐Ÿ‘. He remains committed to empowering communities, enhancing health access, and shaping a future where technology and human-centered care go hand in hand for better health outcomes for all ๐Ÿง‘โ€โš•๏ธ๐Ÿ’ก.

Alexander Bratus | Applied Mathematics | Best Researcher Award

Prof. Dr. Alexander Bratus | Applied Mathematics | Best Researcher Award

Department of digital control of transport at Russia University of Transport, Russia.

Prof. Dr. Alexander Bratus is a distinguished researcher in mathematical biology, dynamical systems, and control theory, with significant contributions to replicator dynamics, evolutionary adaptation, and immune system modeling. His extensive research, spanning biological systems, cancer therapy, and ecological modeling, is reflected in numerous high-impact publications in journals like Mathematical Biosciences, Journal of Mathematical Biology, and Physica A. He has co-authored influential books, including Dynamical Systems and Biological Models and Mathematical Models Evolution and Dynamics of Replicator Systems. His interdisciplinary approach integrates mathematics, biology, and medicine, making his work highly relevant to applied sciences. Collaborating with leading experts worldwide, he has advanced the understanding of complex biological and medical systems. With his dedication to research excellence, impactful publications, and interdisciplinary innovations, Prof. Bratus is a strong contender for the Best Researcher Award, contributing significantly to both theoretical and applied mathematical sciences.

Professional Profileย 

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Education

Prof. Dr. Alexander Bratus earned his advanced degrees in mathematics and applied sciences from prestigious institutions in Russia. He pursued his Ph.D. in Mathematical Modeling and Dynamical Systems, focusing on the application of differential equations and optimization techniques in biological and ecological systems. His doctoral research laid the foundation for his extensive work in evolutionary dynamics, control systems, and mathematical biology. He continued his academic journey with a postdoctoral fellowship, where he expanded his expertise in replicator systems, optimization theory, and stochastic processes. His strong mathematical foundation, coupled with interdisciplinary exposure, has enabled him to develop groundbreaking research in biological evolution, immune system modeling, and cancer therapy optimization. Over the years, he has mentored numerous graduate students and young researchers, contributing to the next generation of mathematical scientists. His educational background has been instrumental in shaping his research career, positioning him as a leader in applied mathematics and computational biology.

Professional Experience

Prof. Dr. Alexander Bratus is a professor and researcher in the Department of Digital Control of Transport at Russia University of Transport. With decades of experience in academia and research, he has played a pivotal role in mathematical modeling, applied dynamical systems, and control theory. He has led multiple research projects, collaborating with leading international scientists to develop mathematical models in biomedicine, ecology, and evolutionary game theory. His professional journey includes serving as a principal investigator in multidisciplinary projects, editorial board memberships in renowned scientific journals, and keynote speaker invitations at global conferences. His expertise extends beyond theoretical research, as he has actively contributed to industrial and healthcare applications through mathematical optimization and system control. His leadership in scientific communities has fostered advancements in mathematical biology and computational methods, establishing him as an influential figure in applied mathematics, mathematical physics, and bioinformatics.

Research Interest

Prof. Dr. Alexander Bratus’s research interests lie in mathematical modeling, dynamical systems, and evolutionary biology, with a strong focus on biological and ecological applications. His work explores the mathematical structures underlying biological evolution, immune system interactions, and cancer therapy strategies. He is particularly interested in replicator dynamics, game-theoretic models, and optimal control methods for biomedical systems. His studies on feedback control in leukemia therapy, antigen-driven immune responses, and tumor growth dynamics have led to innovative approaches in personalized medicine and disease treatment. His interdisciplinary research extends to transport system dynamics, economic growth modeling, and nonlinear distributed systems, reflecting his broad scientific expertise. Through computational simulations and analytical frameworks, he continues to bridge mathematics with real-world applications, making significant contributions to healthcare, ecology, and optimization problems. His diverse research portfolio highlights his commitment to advancing theoretical and applied mathematics in modern science.

Awards and Honors

Throughout his career, Prof. Dr. Alexander Bratus has received numerous awards and recognitions for his outstanding contributions to mathematical modeling and applied sciences. His work in evolutionary dynamics, control theory, and computational biology has been recognized with prestigious research grants, international fellowships, and best paper awards. He has been honored by leading mathematical societies and scientific organizations, acknowledging his innovative contributions to interdisciplinary mathematics. He has also been a recipient of excellence in teaching and mentoring awards, reflecting his dedication to academic leadership and student mentorship. His involvement in editorial boards of top-tier scientific journals, invited lectures at major conferences, and advisory roles in research institutions further solidifies his status as a renowned mathematical scientist. His impactful research and international collaborations continue to shape the future of mathematical and computational sciences, earning him global recognition.

Conclusion

Prof. Dr. Alexander Bratus is a highly accomplished mathematician and researcher, whose work has significantly influenced mathematical biology, control systems, and evolutionary game theory. His extensive contributions to replicator dynamics, immune system modeling, and cancer therapy optimization highlight his interdisciplinary approach and scientific leadership. With a strong academic background, remarkable professional experience, and an impressive list of publications, he has established himself as a pioneer in applied mathematics. His dedication to advancing mathematical sciences, mentoring young researchers, and fostering international collaborations makes him an ideal candidate for the Best Researcher Award. His groundbreaking research continues to bridge the gap between theoretical mathematics and real-world applications, impacting biomedicine, ecology, and engineering. As a globally recognized scientist, he remains committed to solving complex problems through mathematical innovation, leaving a lasting impact on the scientific community.

Publications Top Noted

  • Title: Dynamic Programming-Based Approach to Model Antigen-Driven Immune Repertoire Synthesis

    • Authors: A.S. Bratusโ€™, G.A. Bocharov, D. Grebennikov

    • Year: 2024

    • Citations: 0

    • Source: Mathematics

  • Title: Food Webs and the Principle of Evolutionary Adaptation

    • Authors: A.S. Bratusโ€™, S. Drozhzhin, A.V. Korushkina, A.S. Novozhilov

    • Year: 2024

    • Citations: 0

    • Source: Physica A: Statistical Mechanics and its Applications

  • Title: On a Hypercycle Equation with Infinitely Many Members

    • Authors: A.S. Bratusโ€™, O.S. Chmereva, I.Y. Yegorov, A.S. Novozhilov

    • Year: 2023

    • Citations: 0

    • Source: Journal of Mathematical Analysis and Applications

  • Title: Existence of Closed Trajectories in Lotka-Volterra Systems in Rโฟ

    • Authors: A.S. Bratusโ€™, V.V. Tikhomirov, R. Isaev

    • Year: Unknown

    • Citations: 0

    • Source: Book Chapter (No source information available)

  • Title: Mathematical Model of Pancreatic Cancer Cell Dynamics Considering the Set of Sequential Mutations and Interaction with the Immune System

    • Authors: A.S. Bratusโ€™, N.R. Leslie, M. Chamo, G.A. Bocharov, D. Yurchenko

    • Year: 2022

    • Citations: 0

    • Source: Mathematics

  • Title: Mathematical Model of the Infection Spread in Transport Based on the Theory of Porous Medium

    • Authors: A. Ocheretyanaya, A.S. Bratusโ€™

    • Year: 2022

    • Citations: 0

    • Source: Advances in Systems Science and Applications

  • Title: Open Quasispecies Systems: New Approach to Evolutionary Adaptation

    • Authors: I. Samokhin, T.S. Yakushkina, A.S. Bratusโ€™

    • Year: 2022

    • Citations: 1

    • Source: Chinese Journal of Physics

  • Title: Fitness Optimization and Evolution of Permanent Replicator Systems

    • Authors: S. Drozhzhin, T.S. Yakushkina, A.S. Bratusโ€™

    • Year: 2021

    • Citations: 2

    • Source: Journal of Mathematical Biology

  • Title: Dynamical Systems and Models in Biology

    • Authors: A.S. Bratusโ€™, A.S. Novozhilov, A.P. Platonov

    • Year: 2010

    • Citations: 140

    • Source: Fizmatlit (in Russian)

  • Title: Optimal Bounded Control of Steady-State Random Vibrations

    • Authors: M.F. Dimentberg, D.V. Iourtchenko

    • Year: 2000

    • Citations: 64

    • Source: Probabilistic Engineering Mechanics

  • Title: Bounded Parametric Control of Random Vibrations

    • Authors: M.F. Dimentberg, A.S. Bratusโ€™

    • Year: 2000

    • Citations: 54

    • Source: Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences

  • Title: Bimodal Solutions in Eigenvalue Optimization Problems

    • Authors: A.S. Bratusโ€™, A.P. Seiranian

    • Year: 1983

    • Citations: 49

    • Source: Journal of Applied Mathematics and Mechanics

  • Title: Hybrid Solution Method for Dynamic Programming Equations for MDOF Stochastic Systems

    • Authors: A. Bratus, M. Dimentberg, D. Iourtchenko, M. Noori

    • Year: 2000

    • Citations: 44

    • Source: Dynamics and Control

  • Title: On Strategies on a Mathematical Model for Leukemia Therapy

    • Authors: A.S. Bratusโ€™, E. Fimmel, Y. Todorov, Y.S. Semenov, F. Nuernberg

    • Year: 2012

    • Citations: 43

    • Source: Nonlinear Analysis: Real World Applications

  • Title: Optimal Bounded Response Control for a Second-Order System Under a White-Noise Excitation

    • Authors: A. Bratus, M. Dimentberg, D. Iourtchenko

    • Year: 2000

    • Citations: 43

    • Source: Journal of Vibration and Control

  • Title: Optimal Radiation Fractionation for Low-Grade Gliomas: Insights from a Mathematical Model

    • Authors: T. Galochkina, A. Bratus, V.M. Pรฉrez-Garcรญa

    • Year: 2015

    • Citations: 33

    • Source: Mathematical Biosciences

  • Title: Optimal Control Synthesis in Therapy of Solid Tumor Growth

    • Authors: A.S. Bratusโ€™, E.S. Chumerina

    • Year: 2008

    • Citations: 30

    • Source: Computational Mathematics and Mathematical Physics

  • Title: Solution of the Feedback Control Problem in the Mathematical Model of Leukemia Therapy

    • Authors: A. Bratus, Y. Todorov, I. Yegorov, D. Yurchenko

    • Year: 2013

    • Citations: 28

    • Source: Journal of Optimization Theory and Applications

  • Title: Stabilizing and Destabilizing Effects in Non-Conservative Systems

    • Authors: N.V. Banichuk, A.S. Bratus, A.D. Myshkis

    • Year: 1989

    • Citations: 26

    • Source: Journal of Applied Mathematics and Mechanics

  • Title: Linear Algebra of the Permutation Invariant Crow-Kimura Model of Prebiotic Evolution

    • Authors: A.S. Bratus, A.S. Novozhilov, Y.S. Semenov

    • Year: 2014

    • Citations: 25

    • Source: Mathematical Biosciences