Mustafa Sidiqqui

Mustafa, a committed researcher at CITY at LUMS, is deeply passionate about deep learning. Having graduated with a degree in Electrical Engineering in the 2023 batch from LUMS, he has been part of the City research team for six months. His research has mainly been focused on route optimization and Neural network design using Deep Unfolding. His drive comes from a desire to understand how the brain works, believing that we can only truly grasp the brain’s workings by replicating them. He joined CITY, seeing it as the ideal place to both apply deep learning models in practical scenarios and engage in theoretical research on the latest topics in the field.

Research Assistant

Route Optimization for LWMC

Change Detection using Deep Unfolding

Deep Unfolding for Representation learning