Abstract:

My research focusses on the development of a pregnancy screening tool, that will be: (i) system and user-independent; and (ii) provides a quantifi able measure of placental health. With this end, I am working towards the design of a multiparametric quantitative ultrasound (QUS) based placental tissue characterization method. The method would potentially identify the early symptoms of the placental abnormalities and therefore would allow intervention to prevent their clinical manifestation and long-term effects.

BIO:

Farah Deeba is a PhD candidate in the Electrical and Computer Engineering department at the University of British Columbia. She is working as a research assistant at the Robotics and Control Laboratory, supervised by Dr. Robert Rohling. She holds a M.Sc. degree in Electrical and Computer Engineering from University of Saskatchewan, Canada, and a B.Sc. degree in Electrical and Electronic Engineering from Bangladesh University of Engineering and Technology, Bangladesh. Farah’s research interests lie in the field of medical imaging, with a focus on tissue characterization using quantitative ultrasound. Farah is a recipient of the Schlumberger Faculty for Future Fellowship and the 2020 Microsoft Dissertation Grant. She was also nominated as one of the Rising Stars 2020 (Berkeley EECS).

Homepage:  http://ece.ubc.ca/~farahdeeba/

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