University of Toronto
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Dr. Narges Armanfard obtained her PhD degree from McMaster University, Canada in 2016. The focus of her PhD research was developing effective machine learning algorithms for data classification. In this vein, she proposed and developed the novel concept of localized feature selection and classification that its performance is demonstrated for classification in complex and high dimensional sample spaces. She also developed a novel machine learning based system for automatic and continuous coma patient assessment and outcome prediction.
Her current research projects with Dr. Alex Mihailidis involve the design and application of machine learning techniques for autonomous and unobtrusive home-based physiological signal monitoring of elderly adults using the information recorded by ambient sensors.
Please find a list of her publications here at Google Scholar.