Presentations this week
Tuesday, April 23, 2024
PhD Seminar • Bioinformatics
Application of Machine Learning to Taxonomic Classification of Emerging Astroviruses
Fatemeh Alipour, PhD candidate
David R. Cheriton School of Computer Science
1:00 p.m. • Online PhD seminar
Supervisors: Professors Lila Kari, Yang Lu
Seminar • Centre for Theoretical Neuroscience | Artificial Intelligence
Cognitively-inspired AI for Planning in Realistic Scenarios
Marta Kryven, Postdoctoral Researcher
Department of Brain and Cognitive Sciences
Massachusetts Institute of Technology
3:30 p.m. • DC 1302
Wednesday, April 24, 2024
PhD Defence • Computer Graphics
Writing My Own Line Drawing Software as an Artist
Greg Philbrick, PhD candidate
David R. Cheriton School of Computer Science
9:00 a.m. • Hybrid: DC 3317 | Online PhD defence
Supervisor: Professor Craig S. Kaplan
PhD Seminar • Machine Learning
On Learnability with Computable Learners
Tosca Lechner, PhD candidate
David R. Cheriton School of Computer Science
9:00 a.m. • Hybrid: DC 2314 | Online PhD seminar
Supervisor: Professor Shai Ben-David
Seminar • Data Systems
Building More Reliable and Scalable AI Systems with Language Model Programming
Omar Khattab, PhD candidate
Stanford University
10:30 a.m. • DC 1304
PhD Seminar • Software Engineering
Visualizing Analysis Results for SPL Models — A User Study
Rafael Ferreira Toledo, PhD candidate
David R. Cheriton School of Computer Science
1:30 p.m. • DC 2310
Supervisor: Professor Jo Atlee
Friday, April 26, 2024
Master’s Thesis Presentation • Programming Languages
Type-Aware Optimizations with Imperfect Types
Jeremiah Ikosin, Master’s candidate
David R. Cheriton School of Computer Science
4:00 p.m. • Hybrid: DC 2314 | Online master’s thesis presentation
Supervisor: Professor Gregor Richards
Upcoming presentations
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
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