I amDr. 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 byDr. Tim Oates andDr. Edward Raff.

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1. FutureComputing4AI/HrrformerFutureComputing4AI/HrrformerPublic

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

   Python 52 6

2. FutureComputing4AI/HGConvFutureComputing4AI/HGConvPublic

   HGConv: Holographic Global Convolutional Networks

   Python 7 1

3. Holographic-Reduced-RepresentationsHolographic-Reduced-RepresentationsPublic

   Holographic Reduced Representations

   Python 25 5

4. Unified-Gesture-and-Fingertip-DetectionUnified-Gesture-and-Fingertip-DetectionPublic

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

   Python 309 57

5. Automatic-Identification-and-Counting-of-Blood-CellsAutomatic-Identification-and-Counting-of-Blood-CellsPublic

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

   Python 139 53

6. Complete-Blood-Cell-Count-DatasetComplete-Blood-Cell-Count-DatasetPublic

   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.

   89 34