Dr. Alam Wins NIH Grant on Applying AI in Medical Imaging

Dr. Minhaj Nur Alam, Assistant Professor of ECE, has been recently awarded funding from the National Eye Institute (NEI) at the National Institute of ealth (NIH) for the project “Distributed approaches to train machine learning models in diabetic retinopathy”.

Dr. Alam, along with his clinical collaborators at Stanford and Illinois, aim to establish distributed federated learning (FL) approaches for training robust, clinically deployable machine learning (ML) models for, i) multi-class classification of diabetic retinopathy (DR), and ii) prediction of proliferative DR PDR) progression, in optical coherence tomography (OCT) angiography (OCTA). Success of this project will establish distributed ML model training approaches and pave the way towards using quantitative OCTA features for early DR detection, objective prediction and assessment of treatment outcomes. The project will also focus on expanding biomedical research at UNC Charlotte by integrating medical research within the ECE curriculum.

For further reading, please see the following: https://coefs.charlotte.edu/malam8/research/