Biography:

 

Dr. Farah Deeba is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of North Carolina at Charlotte. Her research focusses on developing non-invasive screening tools using Quantitative Ultrasound (QUS) for early disease prediction. Her lab investigates QUS imaging biomarkers in soft tissues, with an emphasis on correlating these quantitative features with pathological findings and clinical outcomes to better understand underlying pathophysiological mechanisms. Dr. Deeba is particularly interested in QUS-based assessment of placental function, with the goal of improving the early prediction of adverse pregnancy outcomes. She earned her Ph.D. in Electrical and Computer Engineering from University of British Columbia in 2022. She also holds an M.Sc. from University of Saskatchewan and a B.Sc. from Bangladesh University of Engineering and Technology. Dr. Deeba is a recipient of the Schlumberger Faculty for the Future Fellowship, 2020
Microsoft Dissertation Grant, and UNC Charlotte Million Dollar Circle Award.