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Professor Suthaharan Receives Grant for His Neuromorphic Engineered Machine Learning Research

This grant, a subaward from the University of Pittsburgh, supports his collaborative research with the vision scientists and ophthalmologists at the University of Pittsburgh School of Medicine. The main goal of this project is to study multimodal longitudinal ophthalmic images and develop feature learning models that can be integrated into Deep Temporal Networks (DTNets) – a neuromorphic engineered machine learning framework – to detect and classify age-related macular degeneration (AMD) retinal diseases. Three students from UNC Greensboro will work with Professor Suthaharan (UNCG-PI) in the design and development of feature learning models and algorithms, and fully engaged in the implementation and testing of software modules for the DTNets-enabled algorithms using Matlab, R, and Python.

Congratulations to Professor Shan Suthaharan!