The following theses have been submitted to the Faculty of Mathematics Graduate Office and are available for review by contacting the Administrative Team, Graduate Studies by email.
If you wish to attend a virtual defence as an audience member, please email to request an invitation. Please note that the number for virtual attendees may be limited and it may not always be possible to accommodate all requests. Invitations are sent the day before the defence. For defences that are Held-Without-Public-Disclosure, requests must be submitted at least 4 business days in advance to allow adequate time for signing the required NDA form.
May 2024
May Defenses
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Date: Wednesday, May 22, 2024 at 1:00 PM EST |
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| Candidate: Nicholas Olson-Harris |
| Title: Some Applications of Combinatorial Hopf Algebras to Integro-Differential Equations and Symmetric Function Identities |
| Supervisor(s): Karen Yeats |
| Department/School: Combinatorics & Optimization |
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Location: Hybrid |
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Date: Friday, May 17, 2024 at 1:00 PM EST |
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| Candidate: Joseph Scott |
| Title: Meta-Solving via Machine Learning for Automated Reasoning |
| Supervisor(s): Vijay Ganesh, Jo Atlee |
| Department/School: Computer Science |
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Location: Remote |
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Date: Wednesday, May 15, 2024 at 1:00 PM EST |
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| Candidate: Yuan Wang |
| Title: Space-time Hybridizable Discontinuous Galerkin Method for the Advection-Diffusion Problem |
| Supervisor(s): Sander Rhebergen |
| Department/School: Applied Mathematics |
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Location: Hybrid |
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Date: Monday, May 13, 2024 at 9:00 AM EST |
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| Candidate: Liang Chen |
| Title: Collective Dynamics of Large-Scale Spiking Neural Networks by Mean-Field Theory |
| Supervisor(s): Sue Ann Campbell |
| Department/School: Applied Mathematics |
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Location: Hybrid |
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Date: Friday, May 10, 2024 at 1:00 PM EST |
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| Candidate: Pablo Millan Arias |
| Title: Deep Unsupervised Learning for Biodiversity Analyses: Representation learning and clustering of bacterial, mitochondrial, and barcode DNA sequences |
| Supervisor(s): Lila Kari |
| Department/School: Computer Science |
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Location: Hybrid |
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Date: Friday, May 10, 2024 at 3:00 PM EST |
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| Candidate: Mojtaba Valipour |
| Title: Symbolic Regression and Sequence Modelling with Conditional and Dynamic Language Models |
| Supervisor(s): Ali Ghodsi |
| Department/School: Computer Science |
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Location: Hybrid |
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Date: Monday, May 6, 2024 at 10:00 AM EST |
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| Candidate: Alexey Smirnov |
| Title: Discrete total variation in multiple spatial dimensions and its applications |
| Supervisor(s): Lilia Krivodonova |
| Department/School: Applied Mathematics |
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Location: Hybrid |
April 2024
April Defenses
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Date: Tuesday, April 30, 2024 at 9:00 AM EST |
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| Candidate: Andrew Na |
| Title: Efficient Machine Learning Methods for Solving Hamilton-Jacobi-Bellman Equations in Finance |
| Supervisor(s): Justin Wan |
| Department/School: Computer Science |
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Location: Hybrid |
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Date: Wednesday, April 24, 2024 at 9:00 AM EST |
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| Candidate: Greg Philbrick |
| Title: Writing My Own Line Drawing Software as an Artist |
| Supervisor(s): Craig S. Kaplan |
| Department/School: Computer Science |
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Location: Hybrid |
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Date: Thursday, April 18, 2024 at 1:00 PM EST |
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| Candidate: Zhaoran (Eric) Hou |
| Title: Sequential Monte Carlo for Applications in Structural Biology, Financial Time Series and Epidemiology |
| Supervisor(s): Samuel Wong |
| Department/School: Statistics and Actuarial Science |
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Location: Hybrid |
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Date: Friday, April 17, 2024 at 1:30 PM EST |
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| Candidate: Mengyao Zhang |
| Title: On Convergence Analysis of Stochastic and Distributed Gradient-Based Algorithms |
| Supervisor(s): Jun Liu, Xinzhi Liu |
| Department/School: Applied Mathematics |
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Location: M3 4206 |
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Date: Friday, April 12, 2024 at 11:00 AM EST |
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| Candidate: Joseph Yossef Musleh |
| Title: Algorithms for Drinfeld Modules |
| Supervisor(s): Eric Schost |
| Department/School: Computer Science |
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Location: Hybrid |
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Date: Friday, April 12, 2024 at 1:00 PM EST |
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| Candidate: Jie Jian |
| Title: Edge Estimation and Community Detection in Time-varying Networks |
| Supervisor(s): Peijun Sang, Mu Zhu |
| Department/School: Statistics and Actuarial Science |
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Location: Hybrid |
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Date: Thursday, April 11, 2024 at 9:00 AM EST |
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| Candidate: Shaokai Wang |
| Title: Deep Learning Methods for Novel Peptide Discovering and Function Prediction |
| Supervisor(s): Bin Ma |
| Department/School: Computer Science |
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Location: Hybrid |
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Date: Friday, April 5, 2024 at 1:00 PM EST |
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| Candidate: Kira Selby |
| Title: Distributions in Semantic Space |
| Supervisor(s): Pascal Poupart |
| Department/School: Computer Science |
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Location: Hybrid |
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Date: Wednesday, April 3, 2024 at 10:00 AM EST |
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| Candidate: Trang Bui |
| Title: Design and analysis of experiments on networks |
| Supervisor(s): Stefan Steiner, Nathaniel Stevens |
| Department/School: Statistics and Actuarial Science |
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Location: Hybrid |
March 2024
March Defenses
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Date: Thursday March 14, 2024 at 5:30 PM EST |
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| Candidate: Aarti Malhotra |
| Title: Emotions and Context in Decision-making for a Socially Intelligent Agent |
| Supervisor(s): Jesse Hoey |
| Department/School: Computer Science |
|
Location: Online |
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Date: Wednesday March 13, 2024 at 1:00 PM EST |
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| Candidate: Banafsheh Lashkari |
| Title: Measurement System Assessment Studies for Multivariate and Functional Data |
| Supervisor(s): Shoja'eddin Chenouri |
| Department/School: Statistics and Actuarial Science |
|
Location: Online |
February 2024
February Defenses
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Date: Thursday February 29, 2024 at 3:00 PM EST |
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| Candidate: Siddhartha Sahu |
| Title: Optimizing Differential Computation for Large-Scale Graph Processing |
| Supervisor(s): Semih Salihoglu |
| Department/School: Computer Science |
|
Location: Online |
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Date: Friday February 2, 2024 at 9:00 AM EST |
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| Candidate: Andrew Jena |
| Title: Graph-Theoretic Techniques for Optimizing NISQ Algorithms |
| Supervisor(s): Michele Mosca |
| Department/School: Combinatorics and Optimization |
|
Location: Online |
January 2024
January Defences
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Date: Monday January 29, 2024 at 10:00 AM EST |
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| Candidate: Nils Lukas |
| Title: Analyzing Threats of Large-Scale Machine Learning Systems |
| Supervisor(s): Florian Kerschbaum |
| Department/School: Computer Science |
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Location: DC 3317 |
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Date: Thursday January 18, 2024 at 2:30 PM EST |
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| Candidate: Chuanzheng Wang |
| Title: Safety-critical Control for Dynamical Systems under Uncertainties |
| Supervisor(s): Jun Liu; Stephen Smith |
| Department/School: Applied Mathematics |
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Location: M3 3127 |
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Date: Friday January 12, 2024 at 9:00 AM EST |
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| Candidate: Chendi Ni |
| Title: A General Neural Network Methodology for Multi-period Portfolio Organization |
| Supervisor(s): Yuying Li; Peter Forsyth |
| Department/School: Computer Science |
|
Location: DC 3317 |
December 2023
December Defences
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Date: Tuesday, December 19, 2023 at 1:00 PM EDT |
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| Candidate: Joshua Jung |
| Title: Graph Mapping for Knowledge Transfer in General Game Playing |
| Supervisor(s): Jesse Hoey |
| Department/School: Computer Science |
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Location: DC 3317 |
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Date: Tuesday, December 12, 2023 at 9:00 AM EDT |
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| Candidate: Christopher Salahub |
| Title: Exploration in Pairwise Measures of Dependence and Pooled Significance |
| Supervisor(s): Wayne Oldford |
| Department/School: Statistics and Actuarial Science |
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Location: M3 3001 |
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Date: Wednesday, December 6, 2023 at 1:00 PM EST |
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| Candidate: Mahsa Panahi |
| Title: Statistical Methods in the Search for a Dominant Cause of Variation |
| Supervisor(s): Stefan H. Steiner, Jeroen de Mast |
| Department/School: Statistics and Actuarial Science |
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Location: M3 3001 |
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Date: Friday, December 1, 2023 at 10:00 AM EST |
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| Candidate: Donovan Allum |
| Title: Simulations of Radiatively Driven Convection and Spatially Heterogeneous Solar Radiation Intensity in Ice-Covered Lakes |
| Supervisor(s): Marek Stastna |
| Department/School: Applied Mathematics |
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Location: MC 5479 |
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Date: Friday, December 1, 2023 at 2:30 PM EDT |
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| Candidate: Maxwell Fitzsimmons |
| Title: Properties of Difference Inclusions with Computable Reachable Set |
| Supervisor(s): Jun Liu |
| Department/School: Applied Mathematics |
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Location: MC 6460 |
November 2023
November Defences
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Date: Wednesday, November 29, 2023 at 12:00 PM EST |
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| Candidate: Johra Moosa |
| Title: Improving Peptide Identification in Proteomics Data Analysis through Repeat-Preserving Decoy and Decoy-Free Retraining |
| Supervisor(s): Bin Ma |
| Department/School: Computer Science |
|
Location: DC 2314 |
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Date: Wednesday November 29, 2023 at 10:00 AM EST |
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| Candidate: Lijia Wang |
| Title: Joint Modeling, Variable Selection, and Multiply Robust Estimation in Mediation Analysis with Multiple Mediators |
| Supervisor(s): Yeying Zhu, Richard Cook |
| Department/School: Statistics and Actuarial Science |
|
Location: M3 3127 |
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Date: Monday November 27, 2023 at 3:00 PM EST |
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| Candidate: Esha Saha |
| Title: Expanding the Scope of Random Feature Models: Theory and Applications |
| Supervisor(s): Giang Tran |
| Department/School: Applied Mathematics |
|
Location: M3 4206 |
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Date: Friday November 10, 2023 at 9:00 AM EST |
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| Candidate: Glaucia Melo dos Santos |
| Title: Adaptive Human-Chatbot Interactions: Contextual Factors, Variability Design and Levels of Automation |
| Supervisor(s): Paulo Alencar, Daniel M. Berry, Donald D. Cowan |
| Department/School: Computer Science |
|
Location: DC 2310 |