Current students

Subscribe to Current students
photo of Jiayi Chen in front of the Davis Centre
Wednesday, September 30, 2020

Chaperone, a smartphone locking and loss-prevention system

We often think of a smartphone as merely a communications device, but it’s a networked computer so small, powerful and indispensable in our lives that we carry one wherever we go. But this same portability means a smartphone can be easily misplaced or left behind, and because of its value as a pricey pocket computer and as a data access and storage device, smartphones are also targeted by opportunists, thieves and attackers.

Friday, September 25, 2020 2:00 pm - 2:00 pm EDT (GMT -04:00)

Master’s Thesis Presentation • Systems and Networking — Performance Evaluation of WiFi Backscatter Systems

Please note: This master’s thesis presentation will be given online.

Farzan Dehbashi, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Omid Abari

Friday, September 25, 2020 10:00 am - 10:00 am EDT (GMT -04:00)

Master’s Thesis Presentation • Software Engineering — WiseBench: A Motion Planning Benchmarking Framework for Autonomous Vehicles

Please note: This master’s thesis presentation will be given online.

Marko Ilievski, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Krzysztof Czarnecki

photo of Professor Toshiya Hachisuka
Wednesday, September 16, 2020

Meet Toshiya Hachisuka, a professor of creative informatics whose research helps unify various algorithms for light transport simulation

Toshiya Hachisuka joined the David R. Cheriton School of Computer Science as an Associate Professor in September 2020. Previously, he was an Associate Professor at the University of Tokyo, where he led his research group on computer graphics. Before coming to the University of Tokyo, he was an Assistant Professor from 2011 to 2014 at Aarhus University in Denmark.

Wednesday, September 23, 2020 1:00 pm - 1:00 pm EDT (GMT -04:00)

Master’s Thesis Presentation • Artificial Intelligence — Sentiment Lexicon Induction and Interpretable Multiple-instance Learning in Financial Markets

Please note: This master’s thesis presentation will be given online.

Chengyao Fu, Master’s candidate
David R. Cheriton School of Computer Science

Supervisors: Professors Alan Huang and Yuying Li

Sentiment analysis has been widely used in the domain of finance. There are two most common textual sentiment analysis methods in finance: \textit{dictionary-based approach} and \textit{machine learning approach}.