Welcome to my academic website!
I am a Ph.D candidate in the Communications Group, in the Department of Electrical and Computer Engineering
at the University of Toronto under the supervision of
Prof. K.N.(Kostas) Plataniotis.
I received the Bachelor of Applied Science degree in Electrical Engineering (with Honours) minoring in Bioengineering in 2010 and the Master of Applied Science degree in 2012 both from the University of Toronto.
My current research is focused on developing statistical signal processing and machine learning techniques for processing and classifying physiological signals (e.g., EEG signals), especially when dealing with a large amount of data and for non-medical applications. More specifically, my research is on developing semi-supervised and non-supervised feature learning techniques, where feature representations are learned from partially or completely unlabeled data. These approaches will eliminate or reduce the reliance on hand-tailored feature representations that require expert knowledge on the training data, thus provide better understandings on the signal itself as well as its generation process, e.g., how emotion is expressed through EEG signals. More details pertaining
to my research can be found on my research page. A list of publications can be found here.
I am currently a teaching assistant for ECE521, Inference Algorithms and Machine Learning, and ECE1518, Seminar in Identity, Privacy and Security during the Spring term of 2017.
Curriculum Vitae (PDF)