Classical machine learning was applied to predict antibody properties from sequences.
SIR model based modeling of the pandemic was done to predict the pandemic situation in Bangladesh.
SIR model based modeling with unsupervised clustering of the pandemic was done to predict the pandemic situation in China.
A novel agent based model was proposed to model the pandemic.
Machine learning techniques are used to understand the impact of socio-demographic factors on COVID-19
Both classification and regression based approach were used to predict ground water level.
A pretrained language model was used to extract features from protein sequences. This is a structure agnostic approach to predict peptide binding sites.
Hierarchical attention model was used to detect intrusion from system call traces.
We used a hierarchical hybrid model to impute missing ground water level time series data.
This work is currently at a very preliminary stage.
A simple application in C programming language that can solve equations and plot them.
A cross platform e-commerce app with Java and JavaFX.
This was part of the Database Management Lab
An embedded system with microcontrollers, multiple sensors, and a servo motor.
A multi-platform English grammar checker/corrector.
