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👋 Hi, I'm Mahdiyar!

  • 🎓 PhD candidate in Electrical & Computer Engineering @ Queen's University, Kingston, Ontario, Canada.
  • 🌟 Passionate about AI and its application, focusing on continual learning, federated learning, and gradient manipulation.
  • 🔬 Specializing in Deep Learning, especially in lifelong learning, machine vision, and domain generalization.

📚 Research & Projects:

  • Published on crowd counting, pedestrian detection, super-resolution, and biomedical image processing.
  • Recognized for work on COVID detection, dental caries identification, and super-resolution.

📖 Publications & Peer Review Experience:

  • For a full list of my publications and citations, visit my Google Scholar.
  • Actively involved in peer review for several journals and conferences in the field of AI and machine vision.

💻 Technical Skills:

  • Python, MATLAB, C/C++, Verilog/VHDL
  • PyTorch, TensorFlow, OpenCV, Git, LaTeX

🌐 Connect & Collaborate:

Explore my projects and let's innovate together!

Mahdiyar Molahasani's Projects

capsule-network icon capsule-network

Zero counting, CNN pruning and filter pruning in KERAS implementation of Capsule Network

covid-cxnet icon covid-cxnet

COVID-CXNet: Diagnosing COVID-19 in Frontal Chest X-ray Images using Deep Learning. Preprint available on arXiv: https://arxiv.org/abs/2006.13807

ltr-weight-balancing icon ltr-weight-balancing

CVPR 2022 - official implementation for "Long-Tailed Recognition via Weight Balancing" https://arxiv.org/abs/2203.14197

moving-object-detection icon moving-object-detection

Moving Object Detection in videos using OpenCV for checking the presence of object and track it in the moving video sequence.

msg-capsgan icon msg-capsgan

KERAS implementation of the First Multi-Scale Gradient Capsule GAN for Super-Resolution

teeth-extraction icon teeth-extraction

Automated Teeth Extraction from Dental Panoramic X-Ray Images using Genetic Algorithm

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