Saad Bashir

Machine Learning Scientist at GTL

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Hi, my name Raja Muhammad Saad Bashir hailing from capital of Pakistan since Nov 1991; and I prefer being called Saad.

I’m Machine Learning Scientist with a PhD in Computer Science and 4+ years of experience developing and implementing advanced AI algorithms. Skilled in deep learning, computer vision, and medical imaging, as well as proficient in PyTorch, TensorFlow, Python, and Java languages. Successfully delivered 5+ projects from inception to production in both academic and industrial settings.

My hobbies include Hiking 🏃‍♂️, Swimming 🏊‍♂️ , Jiu-Jitsu 🤸‍♂️ and now writing my thoughts and view on AI.

news

Aug 1, 2023 Defended my PhD
Jul 7, 2023 MedIA Paper Accepted
May 5, 2023 JPath Paper Accepted
Apr 28, 2023 Short paper accepted MIDL 2023

latest posts

Jul 7, 2023 A PhD in Numbers

selected publications

  1. oed_jpath.png
    A digital score of peri-epithelial lymphocytic activity predicts malignant transformation in oral epithelial dysplasia
    Raja Muhammad Saad Bashir, Adam Shephard, Hanya Mahmood, and 4 more authors
    medRxiv, 2023
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    Consistency Regularisation in Varying Contexts and Feature Perturbations for Semi-Supervised Semantic Segmentation of Histology Images
    Raja Muhammad Saad Bashir, Talha Qaiser, Shan E Ahmed Raza, and 1 more author
    arXiv preprint arXiv:2301.13141, 2023
  3. coarsenet.png
    A Novel Framework for Coarse-Grained Semantic Segmentation of Whole-Slide Images
    Raja Muhammad Saad Bashir, Muhammad Shaban, Shan E Ahmed Raza, and 2 more authors
    In Medical Image Understanding and Analysis: 26th Annual Conference, MIUA 2022, Cambridge, UK, July 27–29, 2022, Proceedings, 2022
  4. hydranet.png
    HydraMix-Net: A deep multi-task semi-supervised learning approach for cell detection and classification
    Raja Muhammad Saad Bashir, Talha Qaiser, Shan E Ahmed Raza, and 1 more author
    In Interpretable and Annotation-Efficient Learning for Medical Image Computing: Third International Workshop, iMIMIC 2020, Second International Workshop, MIL3ID 2020, and 5th International Workshop, LABELS 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4–8, 2020, Proceedings 3, 2020