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Pioneering a future where our mathematical modeling research group transforms complex real-world challenges into precise, innovative solutions. We envision cross-disciplinary impact, global recognition, and a commitment to ethical and sustainable practices, pushing the boundaries of mathematical modeling for the betterment of society and the advancement of knowledge.
The mission of Mathematical Modeling Research Group is to apply advanced mathematical models to unravel intricate real-world phenomena, offering predictive insights and innovative solutions. Focused on interdisciplinary collaboration, innovation, and ethical practices, we strive to impact diverse fields globally, fostering a dynamic research environment that contributes to societal well-being and scientific advancement.
Polymer-modified concrete (PMC) presents itself as a novel way to improve the characteristics of conventional concrete, tackling a variety of issues in the building industry. This paper explores the p...
The impact of climate change on temperature extremes is particularly significant in regions like Bangladesh, and it is a pressing global concern. To quantify the effects of climate change on Banglades...
A piezoelectric damper has been designed to control the vibration of a straight single cable structure, tuned with the shunt circuits. The optimal placement of the damper, and optimization of geometri...
This paper proposes a straightforward, effective, and time-efficient fuzzy technique for image contrast enhancement (ICE) with vagueness reduction, entropy conservation, and mean brightness preservati...
Parkinson's disease is the primary cause of global mortality connected to the brain. Timely identification and diagnosis of Parkinson's disease can significantly enhance the likelihood of patient surv...
This study uses a statistical method to analyze the complex interactions between environmental elements that affect Bangladesh in order to address the various issues brought about by environmental de...
In an era marked by the escalating prevalence and sophistication of cyber threats, the imperative for robust cybersecurity measures has reached a critical juncture, especially for nations in developme...
This research proposes an SVD and fuzzy-based method for poorly illuminated image contrast enhancement. First, it fuzzifies an image with a fuzzifier. Next, it defuzzifies the fuzzified image with a d...
Contrast enhancement plays a vital role in highlighting the visual features of contrast-distorted images. Histogram equalization is a popular CE method, although it fails to maintain the natural appea...
This study explores the link between climatic factors and dengue fever in Bangladesh (2008–2018) using machine learning clustering techniques: K-means, DBSCAN, and Affinity Propagation (AP). Rainfall ...
This study investigates the complex patterns of dengue disease transmission using simulation techniques and stochastic modeling. By capturing the inherent randomness and variability in disease dynami...
Optimal control strategies are designed using Pontryagin’s Maximum Principle to minimize the spread of infection. The study examines how individuals with robust immune systems influence the spread of ...
This study examines the impact of short-form content consumption on attention span, cognitive performance, and social interactions among individuals aged 18–25. Participants were categorized based on ...
We discuss the causes and detrimental effects of deforestation. We create mathematical models of afforestation and deforestation. We work on stability analysis and equilibrium points. Utilizing data,...
This study explores how prosocial behavior, influenced by strategic intervention games, can effectively control the rapid spread of COVID-19. Leveraging mathematical modeling and game theory, it exami...
In this research, we initiate by Friedmann equation and work with Raychaudhuri equation for comparing of propagation of light and principal of Relativity
Starting with the SIR compartmental model, we employ the mean-field approximation (MFA) methodology. We make use of strategy-based risk assessment (SB-RA) and master equations for the strategy updatin...
Developed a Dynamic Stochastic Adaptive Bioeconomic Model (DSABM) specifically for Nile Tilapia Aquaculture. Modeled the dynamic interactions between biological factors (growth rates, mortality rates)...
Weighted residual approximations are numerical techniques used to model chemical reaction systems, particularly when solving complex reaction-diffusion equations. This method approximate the solution ...
Early detection and characterization play a vital role in the treatment and management of Parkinson’s disease (PD). The rising prevalence of PD, along with its profound impact on motor neurons in the ...
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