Weekly Announcements

Presentations this week

Wednesday, November 20, 2024

PhD Seminar • Artificial Intelligence  |  Explainable AI
CREDENCE: Counterfactual and Rule-Based Explanations for Document Rankers
Joel Rorseth, PhD candidate
David R. Cheriton School of Computer Science
12:00 p.m. • DC 1304
Supervisor: Professor Lukasz Golab

Seminar • Algorithms and Complexity
Lower Bounds on Entanglement and Quantum Gates in Non-local Quantum Computation
Vahid Asadi, PhD candidate
David R. Cheriton School of Computer Science
12:00 p.m. • Hybrid: DC 2568  |  Online seminar

Thursday, November 21, 2024

CPI Talks
Simultaneous-Message and Succinct Secure Computation
Akshayaram Srinivasan, Department of Computer Science
2:30 p.m. • Enterprise Theatre, EC 5, Room 1111
Note: Registration is required

Friday, November 22, 2024

PhD Seminar • Computational Neuroscience
Neurosymbolic Representations in RL
Nicole Sandra-Yaffa Dumont, PhD candidate
David R. Cheriton School of Computer Science
12:00 p.m. • Hybrid: E7 6443  |  Online PhD seminar
Supervisors: Professors Chris Eliasmith, Jeff Orchard

PhD Seminar • Artificial Intelligence  |  Machine Learning
Wise Rule: A Rule-Based Behaviour Planner to Top Carla Leaderboard 1
Frédéric Bouchard, PhD candidate
David R. Cheriton School of Computer Science
1:00 p.m. • Hybrid: E7 5419  |  Online PhD seminar
Supervisor: Professor Krzysztof Czarnecki

Upcoming presentations

Monday, November 25, 2024

Master’s Thesis Presentation • Machine Learning
QAVSA: Question Answering Using Vector Symbolic Algebras
Ryan Laube, Master’s candidate
David R. Cheriton School of Computer Science
3:00 p.m. • Online master’s thesis presentation
Supervisor: Professor Chris Eliasmith

Tuesday, November 26, 2024

PhD Seminar • Machine Learning
p-Norm Flow Diffusion for Local Graph Clustering
Shenghao Yang, PhD candidate
David R. Cheriton School of Computer Science
10:00 a.m. • Online PhD seminar
Supervisor: Professor Kimon Fountoulakis

PhD Seminar • Machine Learning
Flow-based Models and their Structure-Preserving Variants
Haoye Lu, PhD candidate
David R. Cheriton School of Computer Science
11:00 a.m. • Online PhD seminar
Supervisor: Professor Yaoliang Yu

PhD Seminar • Human-Computer Interaction
Contextual Interaction in VR: Peeking Techniques and Menu Usability
Johann David Wentzel, PhD candidate
David R. Cheriton School of Computer Science
1:00 p.m. • Online PhD seminar
Supervisor: Professor Daniel Vogel

Wednesday, November 27, 2024

PhD Defence • Bioinformatics
Advanced Machine Learning Techniques for Taxonomic Classification and Clustering of DNA Sequences
Fatemeh Alipour, PhD candidate
David R. Cheriton School of Computer Science
1:00 p.m. • Hybrid: DC 2314  |  Online PhD defence
Supervisors: Professors Lila Kari and Yang Lu

PhD Seminar • Human-Computer Interaction
TacTalk: Personalizing Haptics Through Conversation
Anchit Mishra, PhD candidate
David R. Cheriton School of Computer Science
2:00 p.m. • DC 3317
Supervisors: Professors Matthew Brehmer, Oliver Schneider, Daniel Vogel

Thursday, November 28, 2024

PhD Defence • Software Engineering
Optimizing Automated Bug Localization for Practical Use
Partha Chakraborty, PhD candidate
David R. Cheriton School of Computer Science
9:00 a.m. • Online PhD defence
Supervisor: Professor Mei Nagappan

Master’s Thesis Presentation • Quantum Computing
In Search of a Time-Independent Reset Hamiltonian
Anthony Lau, Master’s candidate
David R. Cheriton School of Computer Science
1:00 p.m. • QNC 1201
Supervisor: Professor Richard Cleve

PhD Seminar • Human-Computer Interaction
Improving Virtual Reality Accessibility through Context-Aware Spatial Remapping
Johann David Wentzel, PhD candidate
David R. Cheriton School of Computer Science
1:00 p.m. • Online PhD seminar
Supervisor: Professor Daniel Vogel

CPI Talks
Privacy through Contextual Integrity: From Theory to Applications
Yan Shvartzshnaider, Assistant Professor
Department of Electrical Engineering and Computer Science
Lassonde School of Engineering, York University
2:30 p.m. • Enterprise Theatre, EC 5, Room 1111
Note: Registration is required

Friday, November 29, 2024

PhD Seminar • Systems and Networking
Cephalo: Harnessing Heterogeneous GPU Clusters for Training Transformer Models
Runsheng (Benson) Guo, PhD candidate
David R. Cheriton School of Computer Science
1:00 p.m. • DC 1304
Supervisor: Professor Khuzaima Daudjee

Monday, December 2, 2024

PhD Defence • Informational Retrieval
Building a Robust Retrieval System with Dense Retrieval Models
Sheng-Chieh (Jack) Lin, PhD candidate
David R. Cheriton School of Computer Science
9:00 a.m. • DC 2314
Supervisor: Professor Jimmy Lin

PhD Seminar • Machine Learning
Hypergraph Flow Diffusion
Shenghao Yang, PhD candidate
David R. Cheriton School of Computer Science
10:30 a.m. • Online PhD seminar
Supervisor: Professor Kimon Fountoulakis

Wednesday, December 4, 2024

PhD Defence • Human-Computer Interaction
Improving Virtual Reality Accessibility through Context-Aware Spatial Remapping
Johann David Wentzel, PhD candidate
David R. Cheriton School of Computer Science
9:00 a.m. • Hybrid: DC 3317  |  Online PhD defence
Supervisor: Professor Daniel Vogel

Thursday, December 5, 2024

PhD Seminar • Human-Computer Interaction
Understanding Newcomers and Social Determinants of Health During Settlement: A Capability Sensitive Design Approach
Nabil Bin Hannan, PhD candidate
David R. Cheriton School of Computer Science
10:00 a.m. • Online PhD seminar
Supervisor: Professor Edith Law

CPI Talks
Ontario's Bill 194 and Forthcoming Changes to Provincial Cybersecurity and AI Governance
Christopher Parsons, Manager
Technology Policy at the Information and Privacy Commissioner of Ontario
2:30 p.m. • Enterprise Theatre, EC 5, Room 1111
Note: Registration is required

Friday, December 6, 2024

PhD Defence • Natural Language Processing
Leveraging the Knowledge of Generalist LLMs for Diverse Objective and Subjective NLP Tasks
Gaurav Sahu, PhD candidate
David R. Cheriton School of Computer Science
10:00 a.m. • Hybrid: DC 2310  |  Online PhD defence
Supervisor: Professor Olga Vechtomova

PhD Seminar • Human-Computer Interaction
LTJ: A Capability-based Digital Journaling Tool to Improve Well-being of Newcomers in Life Transition
Nabil Bin Hannan, PhD candidate
David R. Cheriton School of Computer Science
11:00 a.m. • Online PhD seminar
Supervisor: Professor Edith Law

Tuesday, December 10, 2024

PhD Seminar • Machine Learning
Statistical Analysis of Local Graph Clustering with Side Information
Shenghao Yang, PhD candidate
David R. Cheriton School of Computer Science
10:00 a.m. • Online PhD seminar
Supervisor: Professor Kimon Fountoulakis

Wednesday, December 11, 2024

PhD Seminar • Software Engineering  |  Program Reduction
LPR: Large Language Models-Aided Program Reduction
Mengxiao (Max) Zhang, PhD candidate
David R. Cheriton School of Computer Science
10:00 a.m. • DC 2564
Supervisor: Professor Chengnian Sun

PhD Defence • Systems and Networking  |  Operating Systems  |  Storage Systems
Operating Systems are a Service
Kenneth Ryan Hancock, PhD candidate
David R. Cheriton School of Computer Science
12:00 p.m. • DC TBD
Supervisor: Professor Ali José Mashtizadeh

Master’s Thesis Presentation • Software Engineering
Developer-Applied Accelerations in Continuous Integration: A Detection Approach and Catalog of Patterns
Mingyang Yin, Master’s candidate
David R. Cheriton School of Computer Science
2:00 p.m. • Online master’s thesis presentation
Supervisor: Professor Shane McIntosh

Monday, December 16, 2024

Master’s Thesis Presentation • Machine Learning
Using Domain Adaptation to Improve Water Quality Modeling with Sparse Data
Chi-Chung Cheung, Master candidate
David R. Cheriton School of Computer Science
2:00 p.m. • Online master’s thesis presentation
Supervisor: Professor Anita Layton

Wednesday, December 18, 2024

Master’s Thesis Presentation • Human-Computer Interaction
Augmenting Digital Media Consumption via Critical Reflection to Increase Compassion and Promote Prosocial Attitudes and Behaviors
Ken Jen Lee, Master’s candidate
David R. Cheriton School of Computer Science
11:00 a.m. • Hybrid: DC 3317  |  Online master’s thesis presentation
Supervisor: Professor Edith Law

PhD Seminar • Algorithms and Complexity
Solution Discovery for Source Problems in P
Stephanie Maaz, PhD candidate
David R. Cheriton School of Computer Science
12:00 p.m. • Online PhD seminar
Supervisors: Professors Naomi Nishimura, Amer E. Mouawad