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Welcome to my webpage.
Welcome to my webpage.
I, Dr. Suvankar Majee, am currently a Post Doctoral Fellow in the Department of Mathematics and Statistics at the Indian Institute of Technology, Kanpur, Uttar Pradesh, India. Previously, I served as an Assistant Professor at SR University, Warangal, Telangana, and as a Postdoctoral Fellow at the School of Engineering, Amrita Vishwa Vidyapeetham, Bengaluru. I earned my Ph.D. in Mathematical Modelling and Dynamical Systems from the Department of Mathematics, Indian Institute of Engineering Science and Technology (IIEST), Shibpur, West Bengal, India.
I am a researcher in applied mathematics, specializing in the mathematical modeling and analysis of some biological problems, like infectious diseases, prey-predator system. My work combines tools such as ordinary, fractional, delay, and stochastic differential equations to study disease dynamics, control strategies, and complex biological interactions. Currently, I am focused on spatio-temporal models, aiming to better understand and predict real-world outbreaks.
Keywords
Keywords
Dynamical Systems, Epidemiological models, Mathematical Modelling, Population dynamics, Predator-prey models, Eco-epidemic models, Incubation Delay, Gestation Delay, Age-structured dynamics, Bifurcations analysis, Turing instability, Pattern-formation, Reaction cross-diffusion systems, Optimal control.
Research Interest
Research Interest
My research lies at the intersection of dynamical systems and applied mathematics, with a strong focus on the modeling and analysis of biological systems, particularly infectious disease dynamics. I employ a range of mathematical tools—from ordinary and partial differential equations to fractional-order and stochastic models—to explore the complex behavior of epidemiological systems. This includes both classical disease transmission models and eco-epidemic systems, where interactions between species and pathogens are studied together.
I am particularly interested in age-structured models, reaction-diffusion and cross-diffusion systems, and their role in shaping spatial and temporal disease patterns. My work often involves bifurcation analysis, Turing instability, and pattern formation to investigate the conditions under which qualitative changes in system behavior occur. I also explore optimal control strategies for disease management, aiming to provide insights that are both mathematically rigorous and practically relevant. These diverse yet interconnected themes help address real-world problems in public health and ecology using the lens of theoretical modeling.
To read biographies of mathematicians, click on: https://mathshistory.st-andrews.ac.uk/
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