This is the collection for the University of Waterloo's Cheriton School of Computer Science .

Research outputs are organized by type (eg. Master Thesis, Article, Conference Paper).

Waterloo faculty, students, and staff can contact us or visit the UWSpace guide to learn more about depositing their research.

Recent deposits

  • Using AI-Supported Onboarding Systems in Video Games to Improve Player Experience 

    Choong, Lydia (University of Waterloo, 2024-04-15)
    Video games face the challenge of providing onboarding that motivates new players to engage with a game beyond their initial experience. Interactive media inherently influences players’ cognitive load during the learning ...
  • ProofFrog: A Tool For Verifying Game-Hopping Proofs 

    Evans, Ross (University of Waterloo, 2024-04-15)
    Cryptographic proofs allow researchers to provide theoretical guarantees on the security that their constructions provide. A proof of security can completely eliminate a class of attacks by potential adversaries. Human ...
  • Emotions and Context in Decision-making for a Socially Intelligent Agent 

    Malhotra, Aarti (University of Waterloo, 2024-04-03)
    Artificial intelligence (AI) research has largely focused on rational thinking, decision making, goal achievement, and reward maximization. Emotions have been considered nonessential, or even detrimental, when designing ...
  • Optimizing Differential Computation for Large-Scale Graph Processing 

    Sahu, Siddhartha (University of Waterloo, 2024-04-01)
    Diverse applications spanning areas such as fraud detection, risk assessment, recommendations, and telecommunications process datasets characterized by entities and their relationships. Graphs naturally emerge as the most ...
  • Mitigating the Uncertainty and Imprecision of Log-Based Code Coverage Without Requiring Additional Logging Statements 

    Xu, Xiaoyan (University of Waterloo, 2024-04-01)
    Understanding code coverage is an important precursor to software maintenance activities (e.g., better testing). Although modern code coverage tools provide key insights, they typically rely on code instrumentation, resulting ...
  • Cardinality Estimation in Streaming Graph Data Management Systems 

    Akillioglu, Kerem (University of Waterloo, 2024-02-23)
    Graph processing has become an increasingly popular paradigm for data management systems. Concurrently, there is a pronounced demand for specialized systems dedicated to streaming processing that are essential to address ...
  • MS/MS Spectrum Prediction for MHC-Associated Peptides with a Fine-Tuned Model 

    Li, Zhenbo (University of Waterloo, 2024-02-23)
    To improve the quality of spectral library search, several MS/MS spectrum predictors have been developed in the last decades. After success in various fields, deep learning techniques are adopted by MS/MS spectrum predictors ...
  • Analyzing Threats of Large-Scale Machine Learning Systems 

    Lukas, Nils (University of Waterloo, 2024-02-22)
    Large-scale machine learning systems such as ChatGPT rapidly transform how we interact with and trust digital media. However, the emergence of such a powerful technology faces a dual-use dilemma. While it can have many ...
  • Traffic Rule Checking and Validation 

    Stewart, Connor (University of Waterloo, 2024-02-15)
    This thesis presents a comprehensive exploration of traffic rule verification systems for diverse junction types, addressing key challenges in formalizing rules, determining violation thresholds, and covering a wide spectrum ...
  • A Fault Injection Tool for Testing Distributed System with Network Faults 

    Khaleel, Seba (University of Waterloo, 2024-01-30)
    Modern systems are complex, they include hundreds of components that implement complex protocols such as scheduling, replication, membership, resource management, client access, and security. These systems are expected to ...
  • Advancing Antibody Design: Integrating Protein Language Models for Enhanced Computational Strategies 

    Jamialahmadi, Benyamin (University of Waterloo, 2024-01-25)
    Antibodies, or immunoglobulins, are integral to the immune response, playing a crucial role in recognizing and neutralizing external threats such as pathogens. The design of these molecules, however, is complex due to the ...
  • Website Fingerprinting on LEO Satellite Internet 

    Singh, Prabhjot (University of Waterloo, 2024-01-24)
    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 ...
  • Disk-based Indexing for NIR-Trees using Polygon Overlays 

    Abubaker, Fadhil (University of Waterloo, 2024-01-23)
    This thesis presents the NIR+-Tree, a disk-resident R-Tree variant that eliminates overlap among its minimum bounding rectangles (MBRs). The NIR+-Tree is an extension of the main-memory NIR-Tree, adopting techniques for ...
  • Analyzing Adversarial Examples: A Framework to Study Adversary Knowledge 

    Fenaux, Lucas (University of Waterloo, 2024-01-22)
    Adversarial examples are malicious inputs to trained machine learning models supplied to trigger a misclassification. This type of attack has been studied for close to a decade, and we find that there is a lack of study ...
  • A General Neural Network Methodology for Multi-period Portfolio Optimization 

    Ni, Chendi (University of Waterloo, 2024-01-22)
    In this thesis, we propose a neural network methodology for solving the multi-period portfolio optimization problem. Our approach formulates the problem as a stochastic optimal control problem and uses a single neural ...
  • Proving Properties of Fibonacci Representations via Automata Theory 

    Shan, Sonja Linghui (University of Waterloo, 2024-01-22)
    In this work, we introduce a novel framework for mechanically testing the completeness and unambiguity of Fibonacci-based representations via automata theory. We call a representation (or a number system) complete and ...
  • Private Distribution Learning with Public Data 

    Bie, Alex (University of Waterloo, 2024-01-22)
    We study the problem of private distribution learning with access to public data. In this setup, a learner is given both public and private samples drawn from an unknown distribution 𝑝 belonging to a class 𝑄, and has the ...
  • Persona-based target-guided dialogue systems: A use case in dementia care 

    Leung, Renee (University of Waterloo, 2024-01-19)
    In recent years, conversational agents have shown potential in various applications. However, the development of conversational agents tailored for older adults, particularly those with age-related cognitive limitations, ...
  • Re-encoding Resistance: Towards Robust Covert Channels over WebRTC Video Streaming 

    Cruzat La Rosa, Adrian (University of Waterloo, 2024-01-18)
    Internet censorship is an ongoing phenomenon, where state level agents attempt to control the free access to information on the internet for purposes like dissent suppression and control. In response, research has been ...
  • An Investigation of Human Annotators' AI Teammate Selection and Compliance Behaviours 

    Tse, Jarvis (University of Waterloo, 2024-01-18)
    Human-artificial intelligence (AI) collaborative annotation has gained increasing prominence as a result of its enormous potential to complement human and AI strengths as well as AI's recent development. However, it is not ...

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