Mehdi Moradi

Mehdi Moradi is an Associate Professor in the Department of Computing and Software at McMaster University. His research bridges machine learning and medical imaging, focusing on developing AI algorithms for biomedical applications including drug discovery, disease progression tracking, and diagnostic validation.

• Developed supervised/semi-supervised learning methods for nematode image classification (2024)
• Invented anatomical-aware models for chest X-ray analysis (2022)
• Created efficient transfer learning frameworks through basis scaling (2024)
• Explored community detection algorithms in weighted networks (2019)

Research Trends: His publications demonstrate a consistent focus on deep learning applications in biomedical imaging, with increasing specialization in transformer architectures, multimodal learning, and network-based inference since 2020.