Fatemeh Hendijani Fard, Assistant Professor, MDS Okanagan
"I am interested in the applications of data science and machine learning for software engineering. Specifically I am working on the detection and prediction of defect/anomalous behaviour in software. This also requires using big data analysis in practice."
Hendijani Fard obtained her PhD from the University of Calgary and her Master of Science from Amirkabir University. Fard's research interest includes mining Github repositories, natural language processing for software analytics, analyzing software defect databases, social media analysis in software analytics and analytics mobile applications. Currently, Hendijani Fard and her team are analyzing software energy bugs in mobile applications from two perspectives: Software and Users. They analyze massive sets of data from GitHub for a personalized recommender system for GitHub users.