David Amilo | Computational Modeling and Simulation of FRPs | Young Scientist Award

David Amilo | Young Scientist Award -Award Winner 2023

Dr. David Amilo: Computational Modeling and Simulation of FRPs

"Congratulations, Dr. David Amilo, on receiving the Young Scientist Award for your exceptional work in Computational Modeling and Simulation of FRPs at the International Research Awards on Fiber Reinforced Polymer. Well-deserved recognition for your outstanding contributions!"

Professional Profiles:

Early Academic Pursuits:

His journey into academia began with internships at the Ministry of Works in Abakaliki and later at Jhopiego for Mother and Child Survival Program (MCSP). These experiences in statistics laid a solid foundation for his future academic endeavors.

Professional Endeavors:

From IT operations at Eko Electricity Distribution Company to teaching roles in mathematics at NPower, his professional path has been diverse. However, his pivotal step came as a lecturer at Near East University, where he delved deeper into mathematical modeling, epidemiology, optimization, machine learning, and data science.

Contributions and Research Focus:

His prolific research contributions span various domains of mathematics, particularly in mathematical modeling of epidemics, cancer studies, gene expression modeling, and optimization techniques. His fractional-order models for various diseases like colorectal cancer, lung cancer, and COVID-19 reflect his interdisciplinary approach, combining mathematics and medical science.

Accolades and Recognition:

Earning the Young Researcher Award at Near East University and being recognized as the best graduating student in Applied Mathematics showcase his academic prowess. Awards from national competitions and distinctions during his academic pursuits signify his dedication and excellence.

Impact and Influence:

His publications in reputable international journals and presentations at scientific conferences demonstrate his influence in the field of mathematical modeling, attracting attention to the applications of mathematics in medicine and epidemiology. His work contributes significantly to understanding and tackling various diseases using mathematical frameworks.

Legacy and Future Contributions:

His legacy lies in the advancement of mathematical modeling, particularly in disease dynamics and healthcare applications. His future contributions are anticipated to further bridge the gap between mathematics and medical sciences, potentially revolutionizing disease understanding, treatment, and control strategies through innovative mathematical approaches.

Notable Publications:

Citations:

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