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Saiful185/README.md

Hi 👋, I'm Md. Saiful Bari Siddiqui

Machine Learning Researcher
Senior Lecturer, School of Data & Sciences, BRAC University

🔭   I’m currently working on Multi-Modal Deep Learning, Biomedical Imaging, Signal & Image Processing, Bioinformatics, and Computational Social Science.

👨‍💻   Explore my full portfolio and all my projects on my Personal Website.

🌱   I'm also creating a free YouTube course on Machine Learning & Deep Learning in Bangla.

📫   How to reach me: saifulbariiftu@gmail.com or saiful.bari@bracu.ac.bd

📬 Connect with Me

💻 Tech & Tools I Use

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  1. S3F-Net S3F-Net Public

    S³F-Net: A Multi-Modal Approach to Medical Image Classification via Spatial-Spectral Summarizer Fusion Network

    Jupyter Notebook 1

  2. DUA-D2C DUA-D2C Public

    DUA-D2C: Dynamic Uncertainty Aware Method for Overfitting Remediation in Deep Learning

    Jupyter Notebook

  3. AudioFuse AudioFuse Public

    AudioFuse: Unified Spectral-Temporal Learning via a Hybrid ViT-1D CNN Architecture for Biomedical Audio Classification

    Jupyter Notebook

  4. AMR-EnsembleNet AMR-EnsembleNet Public

    Fusing Sequence Motifs and Pan-Genomic Features: Antimicrobial Resistance Prediction using an Explainable Lightweight 1D CNN - XGBoost Ensemble

    Jupyter Notebook

  5. July-Revolution-Analysis July-Revolution-Analysis Public

    A Mixed-Methods Analysis of Repression and Mobilisation in Bangladesh’s July Revolution Using Machine Learning and Statistical Modeling

    Jupyter Notebook

  6. COVID19_Viz COVID19_Viz Public

    An Exploratory, Visual and Comparative Data Analysis on the Different Rates of Infection and Death due to COVID-19 in European and South Asian Countries.

    Jupyter Notebook