About
9
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Introduction
I am a dedicated researcher with a strong passion for Computational Biology, particularly in Epidemiology, Evolutionary Game Theory, and Optimal Control Theory. My academic journey has been shaped by the integration of artificial intelligence with public health, aiming to leverage computational methods for real-world impact. Currently pursuing a Ph.D. in Computational Science, I aspire to become a leading scientist, making significant contributions to public health and disease modeling.
Current institution
Additional affiliations
August 2024 - present
Education
October 2020 - July 2022
December 2016 - February 2022
December 2015 - October 2020
Publications
Publications (9)
Disease severity through an immunized population ensconced on a physical network topology is crucial
for preventing epidemic spreading. Its influence can be quantified by adjusting the standard
(basic) methodology for analyzing the percolation and connectivity of contact networks. Stochastic
spreading properties are challenging to express, and p...
This article introduces a novel mathematical model analyzing the dynamics of Dengue in the recent past, specifically focusing on the 2023 outbreak of this disease. The model explores the patterns and behaviors of dengue fever in Bangladesh. Incorporating a sinusoidal function reveals significant mid-May to Late October outbreak predictions, alignin...
We present an evolutionary game model combining subordinate elements from several viewpoints to address whether a resource-storing mechanism promotes a society where the wealthy engage in or refrain from conflict. The model is based on the pairwise game, which incorporates the accumulation of payoffs over time and introduces the concept of particip...
Explaining how individual choice and government policy can appear in the same context in real society is one of the most challenging scientific problems. Controlling infectious diseases requires effective prevention and control measures, including vaccination and self-defense measures. In this context, optimal control strategies incorporating vacci...
The typical framework of replicator dynamics in evolutionary game theory assumes that all mutations are equally likely, meaning that the mutation of an evolving inhabitant only contributes constantly. However, in natural systems in biological and social sciences, mutations can arise due to their repetitive regeneration. The phenomenon of changing s...
Objectives: To determine the realistic disease incidence rate by introducing the Gillespie algorithm for varying degrees on various social complex networks. Methods: The SIR (Susceptible-Infected-Recovered) model is one of the most commonly used mathematical epidemiological models that describe an epidemic's dynamics, forecast potential contagion s...
Routine Management System is a web-based application intended to solve the problems faced while preparing a class routine for a department of a university. Some of the problems this project has addressed are manual efforts, class time ambiguity, availability of classrooms & accommodation capacity, showing the routine for students as well as teacher...
This project deals with several aspects of the mathematical modeling of cancer. First, we have set up a unique one-dimensional frame to extract well-known differential models, presented analytical methods to generate an exact solution, and depicted those results in different frames to visualize its long-term behavior. Moreover, we have shown an exp...
The project entitled as "Error Analysis of One Step Methods of Ordinary Differential Equations" deals with the approximation of the solution and its errors. Such errors are due to the implementation of methods and limitations of innovation. We start this project with the easiest method as Explicit Euler's Method. We understand the issue based on th...
