Thesis defence

Sachin Vernekar, Master’s candidate
David R. Cheriton School of Computer Science

Zuhair AlSader, Master’s candidate
David. R. Cheriton School of Computer Science

Aravind Balakrishnan, Master’s candidate
David R. Cheriton School of Computer Science

Ashish Gaurav, Master’s candidate
David R. Cheriton School of Computer Science

Alex Williams, PhD candidate
David R. Cheriton School of Computer Science

Peoples’ work lives have become ever-populated with transitions across tasks, devices, and environments. Despite their ubiquitous nature, managing transitions across these three domains has remained a significant challenge. Current systems and interfaces for managing transitions have explored approaches that allow users to track work-related information or automatically capture or infer context, but do little to support user autonomy at its fullest.

Nalin Chhibber, Master’s candidate
David R. Cheriton School of Computer Science

Henry Chen, Master’s candidate
David R. Cheriton School of Computer Science

Abel Nieto Rodriguez, Master’s candidate
David R. Cheriton School of Computer Science

Zhiwei Shang, Master’s candidate
David R. Cheriton School of Computer Science

Xin Lian, Master’s candidate
David R. Cheriton School of Computer Science

Thesis defence

Master’s Thesis Presentation • Artificial Intelligence | Machine Learning — Classifier-based Approach for Out-of-distribution Detection

Master’s Thesis Presentation • Systems and Networking — Optimizing MPI Collective Operations for Cloud Deployments

Master’s Thesis Presentation • Artificial Intelligence | Machine Learning — Closing the Modelling Gap: Transfer Learning from a Low-Fidelity Simulator for Autonomous Driving

Master’s Thesis Presentation • Artificial Intelligence | Machine Learning — Safety-Oriented Stability Biases for Continual Learning

PhD Defence • Human-Computer Interaction — Systems for Managing Work-Related Transitions

Master’s Thesis Presentation • Human-Computer Interaction — Towards the Learning, Perception, and Effectiveness of Teachable Conversational Agents

Master’s Thesis Presentation • Human-Computer Interaction — Autonomous Vehicles and Pedestrian Interaction with Visual Signals

Master’s Thesis Presentation • Programming Languages — Scala with Explicit Nulls

Master’s Thesis Presentation • Cryptography, Security, and Privacy (CrySP) — Differentially Private Searchable Symmetric Encryption Scheme with Configurable Pattern Leakage

Master’s Thesis Presentation • Artificial Intelligence | Machine Learning — Unsupervised Multilingual Alignment using Wasserstein Barycenter