Thesis defence

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Please note: This master’s thesis presentaton will take place in DC 1304.

Kerem Akillioglu, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor M. Tamer Özsu

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

Connor Stewart, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Krzysztof Czarnecki

Please note: This PhD defence will take place online.

Aarti Malhotra, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Jesse Hoey

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

Zhenbo Li, Master’s candidate
David R. Cheriton School of Computer Science

Supervisors: Professors Bin Ma, Yang Lu

Please note: This PhD defence will take place online.

Siddhartha Sahu, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Semih Salihoğlu

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

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 in DC 3317.

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

Supervisor: Professor Diogo Barradas

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

Thesis defence

Master’s Thesis Presentation • Data Systems • Cardinality Estimation in Streaming Graph Data Management Systems

Please note: This master’s thesis presentaton will take place in DC 1304.

Master’s Thesis Presentation • Artificial Intelligence • Traffic Rule Checking and Validation

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

PhD Defence • Artificial Intelligence | Affective Computing • Emotions and Context in Decision-making for a Socially Intelligent Agent

Please note: This PhD defence will take place online.

Master’s Thesis Presentation • Bioinformatics • MS/MS Spectrum Prediction for MHC-Associated Peptides with a Fine-Tuned Model

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

PhD Defence • Data Systems • Optimizing Differential Computation for Large-Scale Graph Processing

Please note: This PhD defence will take place online.

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.

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 • 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.

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.