Malihe Javidi

Malihe Javidi serves as a Research Fellow on Computer Vision in Medicine at the Usher Institute within the College of Medicine and Veterinary Medicine, University of Edinburgh. She concurrently holds an Assistant Professor position in the Computer Engineering Department at Quchan University of Technology, Iran, where she has maintained official cooperation since 2018. Previously, she worked as a Research Associate Fellow in Biomedical Signal and Image Processing at Heriot-Watt University.

Her academic credentials from Ferdowsi University of Mashhad, Iran include:

• Bachelor's in Computer Engineering (2006, with honors)
• Master's in Computer Engineering (2008, with honors)
• Ph.D. in Artificial Intelligence (2018)

Dr. Javidi's research centers on applying computer vision and deep learning to medical diagnostics, with emphasis on ophthalmology and cardiology. She develops AI-driven tools for retinal image analysis, ECG interpretation, and virtual histology staining, targeting early detection of ocular, cardiovascular, and neurodegenerative diseases through advanced image processing techniques.

Her recent publications reveal a cohesive focus on medical image synthesis and disease prediction systems. Key contributions include synthetic ECG datasets for cardiac monitoring, community-based retinal repositories for multi-disease forecasting, and fluorescence lifetime imaging innovations for virtual pathology. These works consistently bridge computational methods with clinical applications to enhance diagnostic precision.

Affiliated with the Centre for Medical Informatics at the Usher Institute, she participates in interdisciplinary teams advancing data-driven healthcare solutions through medical informatics and artificial intelligence research.