Current students

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

photo of Professor Lila Kari, PhD student Pablo Millán Arias

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.

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

Fadhil Abubaker, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Khuzaima Daudjee

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

Seba Khaleel, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Samer Al-Kiswany

Please note: This master’s thesis presentation will take place in DC 3317.

Adrian Cruzat La Rosa, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Diogo Barradas

photo of Miraal Kabir, Martin Turuta and local dairy farmers

For Safi, a milk pasteurization start-up, 2023 was the year their dreams became reality.

Please note: This PhD seminar will take place online.

Ben Armstrong, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Kate Larson

We present our work using machine learning models to approximate social choice functions, a.k.a. methods of voting. Voting rules are functions that are given voter preferences and produce a winning candidate.

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

Sonja Linghui Shan, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Jeffrey Shallit

Please note: This master’s thesis presentation will take place in DC 2314, not DC 3317.

Lucas Fenaux, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Florian Kerschbaum

Current students

Master’s Thesis Presentation • Bioinformatics • Advancing Antibody Design: Integrating Protein Language Models for Enhanced Computational Strategies

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

Microbial organisms living in extreme environments have similar genomic signatures even though they are unrelated

Master’s Thesis Presentation • Cryptography, Security, and Privacy (CrySP) • Website Fingerprinting on LEO Satellite Internet

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

Master’s Thesis Presentation • Data Systems • Disk-based Indexing for NIR-Trees using Polygon Overlays

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

Master’s Thesis Presentation • Systems and Networking • A Fault Injection Tool for Testing Distributed System with Network Faults

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

Master’s Thesis Presentation • Cryptography, Security, and Privacy (CrySP) • Re-encoding Resistance: Towards Robust Covert Channels over WebRTC Video Streaming

Please note: This master’s thesis presentation will take place in DC 3317.

For milk pasteurization start-up Safi, 2023 changed everything

PhD Seminar • Artificial Intelligence • Learning Voting Rules Using Neural Networks

Please note: This PhD seminar will take place online.

Master’s Thesis Presentation • Algorithms and Complexity • Proving Properties of Fibonacci Representations via Automata Theory

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

Master’s Thesis Presentation • Cryptography, Security, and Privacy (CrySP) • Analyzing Adversarial Examples: A Framework to Study Adversary Knowledge

Please note: This master’s thesis presentation will take place in DC 2314, not DC 3317.