Current students

Abdullah Rashwan, PhD candidate
David R. Cheriton School of Computer Science

Sum-product networks have recently emerged as an attractive representation due to their dual view as a special type of deep neural network with clear semantics and a special type of probabilistic graphical model for which inference is always tractable. Those properties follow from some conditions (i.e., completeness and decomposability) that must be respected by the structure of the network. 

PhD student Michael Abebe is one of six recipients worldwide and the only recipient from Canada to receive a prestigious 2018 Facebook Emerging Scholar Award.

Launched in 2017, Facebook’s Emerging Scholar Awards support talented students from under-represented groups in the technology sector to encourage them to continue their PhD studies, pursue innovative research, and engage with the broader research community.

photo of Dr. Dan Vogel
Computer Science Professor Daniel Vogel has received a 2018 Faculty of Mathematics Golden Jubilee Research Excellence Award. The $2,500 award, which is conferred to early or mid-career faculty members who have made outstanding research contributions, was established in 2017 to mark the 50th anniversary of the Faculty of Mathematics. 

When you look at a scenic mountain photo typically everything in the distance is in sharp focus. But this scene might be even more captivating if something striking were in the foreground, perhaps a field of wild flowers in peak bloom. The problem is if the flowers are close to the lens relative to the mountains it’s impossible for all elements in the photo to be in perfect focus — if the flowers are sharp, the distant mountains will be blurry and vice versa.

Matthew Finkel, The Tor Project

There are hundreds of millions of new "smart" mobile device users every year, but the mobile ecosystem and infrastructure are designed and built for optimizing convenience, not protecting the privacy of the user. From a design flaw in the Internet Protocol to an abundence of physical sensors, a mobile device may tell a third-party more information than the user intended or wanted. 

Chelsea Komlo, HashiCorp

​Privacy Enhancing Technology communities rely on the research community for help designing and validating protocols, finding potential attack vectors, and applying new technological innovations to existing protocols. However, while the research community has made significant progress studying projects such as Tor, the number of research outcomes that have actually been incorporated into privacy enhancing technologies such as The Tor Project is lower than the number of feasible and useful research outcomes.