- NSU
- Dhaka, Bangladesh
- mahmudulalam.github.io
- in/mahmudul-alam
- @rea1mma
Highlights
- Pro
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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- FutureComputing4AI/Hrrformer
FutureComputing4AI/Hrrformer PublicHrrformer: A Neuro-symbolic Self-attention Model (ICML23)
- FutureComputing4AI/HGConv
FutureComputing4AI/HGConv PublicHGConv: Holographic Global Convolutional Networks
- Holographic-Reduced-Representations
Holographic-Reduced-Representations PublicHolographic Reduced Representations
- Unified-Gesture-and-Fingertip-Detection
Unified-Gesture-and-Fingertip-Detection PublicUnified learning approach for egocentric hand gesture recognition and fingertip detection.
- Automatic-Identification-and-Counting-of-Blood-Cells
Automatic-Identification-and-Counting-of-Blood-Cells PublicMachine learning approach of automatic identification and counting of blood cells (RBC, WBC, and Platelet) with KNN and IOU based verification.
- Complete-Blood-Cell-Count-Dataset
Complete-Blood-Cell-Count-Dataset PublicThe 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.
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