Farah Sinada is a PhD student at the University of Westminster where she also received her BEng in Electronic Engineering with First Class Honours. Her work focuses on biomedical image processing and its application on Neglected Tropical Disease diagnosis. Currently, work is being conducted on developing a deep learning driven algorithm for diagnostic tools.

 

List of Publications:

[1]        F. Sinada, S. Reni, I. Kale, P. Chiodini, and J. Shrivastava, “A reflective analysis of image processing operations on Kato-Katz images for the pathological diagnosis of neglected tropical diseases,” 7th E-Health and Bioengineering Conference, 2019, doi: 10.1109/EHB47216.2019.8970011.

[2]        F. Sinada, S. K. Reni, and I. Kale, “Image Analysis and Feature Extraction of Kato-Katz Images for Neglected Tropical Diseases Diagnosis,” in Midwest Symposium on Circuits and Systems, 2020, vol. 2020-Augus, doi: 10.1109/MWSCAS48704.2020.9184535.