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Wednesday, October 26, 2022 4:00 pm - 5:00 pm EDT (GMT -04:00)

PhD Seminar • Artificial Intelligence • ML-Driven Algorithm Selection and Meta-Solving for Hard Combinatorial Problems

Please note: This PhD seminar will take place online.

Joseph Scott, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Vijay Ganesh

Friday, October 28, 2022 1:00 pm - 2:00 pm EDT (GMT -04:00)

Seminar • Algorithms and Complexity • New Lower Bounds for Set Multilinear Formulas

Please note: This seminar will take place in DC 1304 and online.

Shubhangi Saraf, Associate Professor
Department of Mathematics, Department of Computer Science, University of Toronto

The recent exciting breakthrough by Limaye, Srinivasan, and Tavenas showing superpolynomial lower bounds for constant-depth algebraic circuits has underscored the importance of studying the complexity of set multilinear formulas.

Friday, November 4, 2022 3:00 pm - 4:00 pm EDT (GMT -04:00)

PhD Seminar • Algorithms and Complexity • Performance Anomalies in Concurrent Data Structure Microbenchmarks

Please note: This PhD seminar will take place in DC 2310 and online.

Rosina Kharal, PhD candidate
David R. Cheriton School of Computer Science

Supervisors: Professors Trevor Brown, Peter Buhr

Tuesday, November 8, 2022 12:00 pm - 1:00 pm EST (GMT -05:00)

PhD Seminar • Scientific Computation | Quantitative Finance • Optimal Asset Allocation during High Inflation

Please note: This PhD seminar will take place online.

Chendi Ni, PhD candidate
David R. Cheriton School of Computer Science

Supervisors: Professors Yuying Li, Peter Forsyth

Wednesday, November 9, 2022 9:30 am - 10:30 am EST (GMT -05:00)

Master’s Thesis Presentation • Data Systems • Offline Evaluation via Human Preference Judgments: A Dueling Bandits Problem

Please note: This master’s thesis presentation will take place online.

Xinyi Yan, Master’s candidate
David R. Cheriton School of Computer Science

Supervisors: Professors Charles Clarke, Mark Smucker

Wednesday, November 9, 2022 10:00 am - 10:00 am EST (GMT -05:00)

PhD Defence • Data Systems • Universal Data System Analysis for Insight and Adaptivity

Please note: This PhD defence will take place online.

Brad Glasbergen, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Khuzaima Daudjee

Database systems are ubiquitous; they serve as the cornerstone of modern application infrastructure due to their efficient data access and storage. Database systems are commonly deployed in a wide range of environments, from transaction processing to analytics.