My research focuses on the application of computational and mathematical approaches to address complex challenges in heat transfer, public health, environmental science, and education. A significant portion of my work involves computational fluid dynamics (CFD), with a strong emphasis on heat transfer phenomena. I investigate both natural and forced convection, entropy generation, nanofluid performance, and phase change materials in various enclosure configurations. These studies provide insights into optimizing thermal performance in energy systems, electronics, and building design, with broader implications for energy efficiency and sustainable engineering. Beyond traditional thermal applications, my CFD expertise extends to biomedical fluid dynamics, where I study physiological flows and pollutant transport within the human body. This includes simulations of blood flow in the aorta and airflow in the human respiratory system, providing valuable data on pressure distribution, flow stability, and anatomical response under different health conditions. One of the most innovative aspects of this research is the modeling of microplastics and nanoplastics transport and deposition in the lungs. In parallel, I develop mathematical models to explore the dynamics of infectious disease transmission, such as dengue, malaria and lumpy skin disease (LSD). These models incorporate key parameters such as population density, temperature, humidity, vector abundance, and human behavior to simulate disease outbreaks and predict future scenarios. My work on plastic pollution, both in water systems and the environment, focuses on understanding how human activity introduces persistent pollutants into the environment and how these pollutants affect both wildlife and human populations. In addition to my scientific contributions, I am deeply committed to mathematics education, particularly at the university level. I have investigated factors influencing student success and failure in mathematics, including instructional methods, curriculum design, and student engagement strategies. My goal is to promote inclusive, effective, and student-centered teaching approaches that improve learning outcomes and foster analytical thinking among future scientists and engineers.
Areas of Research Specialization
Fluid Mechanics, Nanofluids and hybrid nanofluids, Mathematical modelling, Data driven research, Mathematics Education, Environment, Machine Learning.