Minhaj Alam

Dr. Minhaj Alam is an Assistant Professor in the Department of Electrical & Computer Engineering at the University of North Carolina at Charlotte. His research focuses on AI-driven medical imaging, particularly in ophthalmology, with expertise in federated learning, computer-aided diagnostics, and imaging biomarkers. He holds a Ph.D. from the University of Illinois at Chicago, a Postdoctoral Fellowship at Stanford University, and prior degrees from the Islamic University of Technology in Bangladesh.

• Education:
  • Ph.D., University of Illinois at Chicago, 2020
  • Postdoctoral Fellowship, Stanford University, 2022
  • M.Sc. and B.Sc., Islamic University of Technology, 2015 and 2013

His research interests include developing AI models for retinal disease diagnosis (e.g., diabetic retinopathy, age-related macular degeneration) using optical coherence tomography angiography (OCTA), federated learning for multi-institutional data, and automated risk stratification systems. Notable contributions include the AV-Net framework for artery-vein classification and the EYE-Llama large language model for ophthalmology.

Dr. Alam’s publications span over 30 peer-reviewed articles in journals like Frontiers in Medicine, Scientific Reports, and Radiology AI. His work emphasizes quantitative biomarker analysis and translational AI for clinical impact. He collaborates with institutions like Stanford University and investigates cutting-edge techniques like self-supervised learning and domain adaptation.

No scientific awards or grants are explicitly listed in the provided material. His lab focuses on advancing AI tools for precision medicine and non-invasive diagnostics, with a vision to bridge gaps in healthcare accessibility through innovative imaging technologies.