Presentations this week

Monday, April 29, 2024

DSG Seminar Series
ASTral: Fast Rewriting for Query Optimization
Darshana Balakrishnan, Software Developer, Amazon Web Services
PhD candidate, University at Buffalo
10:30 a.m. • DC 1304

Tuesday, April 30, 2024

PhD Defence • Scientific Computing  |  Quantitative Finance  |  Machine Learning
Efficient Machine Learning Methods for Solving Hamilton-Jacobi-Bellman Equations in Finance
Andrew Na, PhD candidate
David R. Cheriton School of Computer Science
9:00 a.m. • Hybrid: DC 2314  |  Online PhD defence
Supervisor: Professor Justin Wan

Distinguished Lecture Series
Privacy, Learning, and Inference
Adam Smith, Professor
Departments of Computer Science and Electrical and Computer Engineering
Boston University
10:00 a.m. • Hybrid: DC 1302  |  Online distinguished lecture

Master’s Thesis Presentation • Software Engineering
Improving the Precision of Analyses Queries in Factbase Models of Software Systems
Xiang Yun (Fa Fa) Ke, Master’s candidate
David R. Cheriton School of Computer Science
11:00 a.m. • DC 3317
Supervisor: Professor Jo Atlee

Master’s Thesis Presentation • Software Engineering
Classifying Code as Human Authored or GPT-4 Generated
Joy Idialu, Master’s candidate
David R. Cheriton School of Computer Science
3:00 p.m. • Hybrid: DC 2310  |  Online master’s thesis presentation
Supervisors: Professors Mei Nagappan, Jo Atlee

Wednesday, May 1, 2024

Master’s Thesis Presentation • Software Engineering
Simplifying Crash-Triggering Event Sequence for Android Apps
Aryan Haddady, Master’s candidate
David R. Cheriton School of Computer Science
1:00 p.m. • Hybrid: DC 2310  |  Online master’s thesis presentation
Supervisor: Professor Chengnian Sun

Friday, May 3, 2024

PhD Seminar • Theoretical Neuroscience
Foundations of Biologically Plausible Reinforcement Learning in Spiking Neural Networks
Nicole Sandra-Yaffa Dumont, PhD candidate
David R. Cheriton School of Computer Science
12:00 p.m. • Hybrid: E7 6323  |  Online PhD seminar
Supervisors: Professors Jeff Orchard, Chris Eliasmith

Master’s Thesis Presentation • Software Engineering
Variability in Factors Influencing Pull Request Merge Decisions: A Microscopic Exploration

Nasif Ahmed, Master’s candidate
David R. Cheriton School of Computer Science
2:00 p.m. • Online master’s thesis presentation
Supervisor: Professor Mei Nagappan

Upcoming presentations

Monday, May 6, 2024

CrySP Speaker Series on Privacy
Profiling the Political Influence Industry in Canada in the Age of AI: Privacy Protection and Democratic Accountability
Colin Bennett, Emeritus Professor of Political Science
Fellow, Center for Global Studies, University of Victoria
2:00 p.m. • Hybrid: DC 1302  |  Online talk

Tuesday, May 7, 2024

PhD Seminar • Quantum Computing
Arithmetic and Synthesis of Single Qutrit Circuits
Amolak Ratan Kalra, PhD candidate
David R. Cheriton School of Computer Science
3:00 p.m. • QNC 1201
Supervisor: Professor Michele Mosca

Wednesday, May 8, 2024

Master’s Thesis Presentation • Artificial Intelligence
Explore the In-context Learning Capability of Large Language Models
Tianle Li, Master’s candidate
David R. Cheriton School of Computer Science
2:00 p.m. • Online master’s thesis presentation
Supervisor: Professor Wenhu Chen

Friday, May 10, 2024

PhD Defence • Bioinformatics
Deep Unsupervised Learning for Biodiversity Analysis: Representation Learning and Clustering of Bacterial, Mitochondrial, and Barcode DNA Sequences
Pablo Millán Arias, PhD candidate
David R. Cheriton School of Computer Science
1:00 p.m. • Hybrid: DC 2310  |  Online PhD defence
Supervisor: Professor Lila Kari

PhD Defence • Machine Learning  |  Deep Leaning
Symbolic Regression and Sequence Modelling with Conditional and Dynamic Language Models
Mojtaba Valipour, PhD candidate
David R. Cheriton School of Computer Science
3:00 p.m. • Hybrid: DC 3317  |  Online PhD defence
Supervisor: Professor Ali Ghodsi

Monday, May 13, 2024

CPI Talk
Characterizing Machine Unlearning through Definitions and Implementations
Nicolas Papernot, Assistant Professor
Computer Engineering and Computer Science, University of Toronto
10:30 a.m. • EC5 1111
Free, but please register

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