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MahmudulAlam/README.md

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I am Dr. Mohammad Mahmudul Alam, a deep learning specialist with over six years of hands-on experience, including internships at Amazon Web Services (AWS) and Analog Devices Inc. (ADI). I have a strong track record of publications in prestigious conferences such as NeurIPS, ICML, AISTATS, AAAI, KDD, and CVPR. I earned my Ph.D. in Computer Science from the University of Maryland, Baltimore County (UMBC), where I was advised by Dr. Tim Oates and Dr. Edward Raff.

Linked In 🔗       Google Scholar 📚       Contact Me! 📬

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  1. FutureComputing4AI/Hrrformer FutureComputing4AI/Hrrformer Public

    Hrrformer: A Neuro-symbolic Self-attention Model (ICML23)

    Python 62 12

  2. FutureComputing4AI/HGConv FutureComputing4AI/HGConv Public

    HGConv: Holographic Global Convolutional Networks

    Python 8 1

  3. Holographic-Reduced-Representations Holographic-Reduced-Representations Public

    Holographic Reduced Representations

    Python 30 8

  4. Unified-Gesture-and-Fingertip-Detection Unified-Gesture-and-Fingertip-Detection Public

    Unified learning approach for egocentric hand gesture recognition and fingertip detection.

    Python 314 60

  5. Automatic-Identification-and-Counting-of-Blood-Cells Automatic-Identification-and-Counting-of-Blood-Cells Public

    Machine learning approach of automatic identification and counting of blood cells (RBC, WBC, and Platelet) with KNN and IOU based verification.

    Python 145 54

  6. Complete-Blood-Cell-Count-Dataset Complete-Blood-Cell-Count-Dataset Public

    The complete blood count (CBC) dataset contains a total of 360 blood smear images of red blood cells (RBCs), white blood cells (WBCs), and Platelets with annotations.

    98 36