Helia Mohammadi


Helia is a Ph.D. student in Electrical and Computer Engineering with focus on biomedical signal processing and classification at the University of Toronto. She received her M.Sc. degree from Ryerson University, department of Computer Science after simultaneously completing two B.Sc. degrees, in Computer Engineering and Business Administration. Helia has received a number of scholarships and awards, including the “Natural Sciences & Engineering Research Council of Canada (NSERC)”, “Ontario Graduate Scholarship (OGS)”, and “Graduate Teaching Assistant Award of Excellence”. Additionally, she was selected as a “Rogers Scholar” during her Ph.D. studies. Her M.Sc. thesis (a Precarn funded project) was nominated for the Governor General’s Gold medal from the department of Computer Science at Ryerson University and was awarded the “Best Graduate Thesis Award in Recognition of Excellence in Research and Nomination for Governor General’s Gold Medal”. With over 6 years of experience in research and applied machine learning, she leverages and extends stochastic modeling and machine learning techniques for exploratory and inferential data processing to promote the development of user-aware and response-efficient technologies. Her recent work resulted in two patents and three journal publications.