My Works
RESEARCH AND PROJECT DOCUMENTATION
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Estimating Influenza Cases using Numerical Methods and Machine Learning (2024).
Compared traditional SVIR-based numerical solvers (Midpoint, RK4) with deep learning models (LSTM, CNN, FTA-LSTM) and Random Forest for predicting H1N1 outbreaks; Random Forest with direct forecast achieved the best accuracy on real-world data.
[GitHub]
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Adaptive Blockchain with Dynamic Difficulty and SJF Prioritization (2024).
Designed a blockchain simulation with dynamic difficulty adjustment and Shortest Job First (SJF) prioritization using a minimum priority queue to improve throughput, reduce queue length, and lower waiting time under high transaction loads; developed as part of OSU’s CS5113 course.
[GitHub]
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Sentiment Analysis on Cloud Platforms (2022).
Developed and compared sentiment analysis pipelines across AWS Comprehend, Google Cloud NLP, and IBM Watson to evaluate API-based NLP sentiment classification on real-world datasets.
[GitHub]
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GO-CART – 3D Unity Game (2021).
Designed a Unity-based 3D racing game with smooth player movement (W/A/S/D), third-person camera tracking, and physics-based controls. The game features real-time scoring, collision detection, and a game over system triggered on crash or completion.
[GitHub]
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Breast Cancer Detection using Deep Learning (2021).
Built multiple CNN-based models including Inception, VGG16, MobileNet, and Transformers to detect Invasive Ductal Carcinoma (IDC) in histopathology images; evaluated on Kaggle's IDC dataset.
[GitHub]
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Image Embedding with Classification by Deep Neural Networks (2021).
Developed a deep learning pipeline using Xception to extract and visualize image embeddings for classification tasks. Includes TensorBoard-based 2D/3D demo.
[GitHub]
[Paper Link]
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Data Augmentation with Generative Adversarial Networks (2021).
Implements adaptive discriminator augmentation to stabilize GAN training on limited datasets, supporting Bangla character/numeral synthesis and multiple architectures. Includes demo visualization.
[GitHub]
[Demo]
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Protein Structure Prediction using PyRosetta (2020).
Developed molecular modeling pipelines using PyRosetta for protein structure prediction and refinement as part of my graduate thesis.
[GitHub]
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Phylogenetic Tree Construction with Genetic Algorithms (2019).
Applied genetic algorithms for evolutionary tree estimation using gene sequencing data; includes modular support for multiple genome datasets from NCBI.
[GitHub]
[Paper Link]
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Performance Analysis of Text Classification in NLP with Supervised Machine Learning Algorithms (2016).
Evaluated various supervised models including ANN with Backpropagation for classifying labeled text datasets; conducted as undergraduate thesis work.
[GitHub]
[Paper Link]
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Java Scientific Calculator (2014).
Built a desktop-based scientific calculator using Java Swing, featuring basic arithmetic, trigonometric, logarithmic, and exponential functions with keyboard and GUI input support.
[GitHub]
