Navid Ghavami

Navid Ghavami serves as a Visiting Fellow in the Department of Chemical and Energy Engineering within the School of Engineering at London South Bank University. His research focuses on advancing microwave imaging technologies for medical diagnostics, particularly through the MammoWave device for breast cancer detection and stroke classification systems. He actively contributes to clinical trials and algorithm development within the RadioSpin project framework.

His primary research domains include breast imaging and microwave-based medical diagnostics, where he integrates machine learning with ultra-wideband radar systems to enhance detection accuracy. Current work emphasizes simulation modeling, clinical validation, and fusion techniques for improving lesion localization while reducing false positives in diagnostic workflows.

Publication analysis reveals consistent contributions to microwave medical imaging, with recent work spanning breast cancer detection (2024-2025), stroke classification algorithms, and clinical trial methodologies. His interdisciplinary approach bridges biomedical engineering, signal processing, and clinical medicine, demonstrating strong collaboration with Professor Mohammad Ghavami's research group and international clinical partners.