Current students

Please note: This PhD seminar will take place in DC 3317 and online.

Robert Wang, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Lap Chi Lau

Please note: This PhD seminar will take place in DC 2310 and online.

Nils Lukas, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Florian Kerschbaum

Friday, February 2, 2024 11:00 am - 12:00 pm EST (GMT -05:00)

CrySP Speaker Series on Privacy • PrivaCI — Privacy through Contextual Integrity

Please note: This talk will take place in DC 1302 and online.

Yan Shvartzshnaider, Assistant Professor
Department of Electrical Engineering and Computer Science
Lassonde School of Engineering, York University

Please note: This PhD seminar will take place in DC 1304.

Xueguang Ma, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Jimmy Lin

Neural retrieval systems have proven effective across a range of tasks and languages. However, creating fully zero-shot neural retrieval pipeline remains a challenge when relevance labels are not available.

Please note: This master’s thesis presentation will take place online.

Benyamin Jamialahmadi, Master’s candidate
David R. Cheriton School of Computer Science

Supervisors: Professors Ali Ghodsi, Mohammad Kohandel

Extremophiles are species that are adapted to live at the edges of biological tolerance, in a range of environments that seem inhospitable to life by human standards. These extremely hardy organisms are found in all three domains and all six kingdoms of life, the highest and second highest levels of classification biologists use to categorize living things based on common ancestry.

Please note: This master’s thesis presentation will take place in DC 2310.

Prabhjot Singh, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Diogo Barradas

Although encrypted channels, like those provided by anonymity networks such as Tor, have been put into effect, network adversaries have proven their capability to undermine users’ browsing privacy through website fingerprinting attacks.