Computer Science - University of Manitoba
Saqib’s research revolves around Predictive Machine Learning, Computer Vision, and Interdisciplinary applications of Deep Learning in medical image processing, image registration, and longitudinal image data. He is developing predictive models to extract relevant features from thermograms (thermal imaging) to assist in the early detection of diabetic foot ulceration from thermograms and working on utilizing x-ray imaging of hands and feet of patients taken at multiple timepoints to devise a longitudinal-diagnostic model to predict disease progression of Rheumatoid Arthritis (RA) using joint space narrowing and erosion scores (sharp van heijde scores).