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Monday, October 2, 2023 10:00 am - 11:00 am EDT (GMT -04:00)

PhD Seminar • Cryptography, Security, and Privacy (CrySP) • Waks-On/Waks-Off: Fast Oblivious Offline/Online Shuffling and Sorting with Waksman Networks

Please note: This PhD seminar will take place online.

Sajin Sasy, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Ian Goldberg

Wednesday, October 11, 2023 12:00 pm - 1:00 pm EDT (GMT -04:00)

PhD Seminar • Algorithms and Complexity • Cheeger Inequalities for Directed Graphs and Hypergraphs using Reweighted Eigenvalues

Please note: This PhD seminar will take palce in M3 4206 and online.

Kam Chuen Tung, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Lap Chi Lau

We derive Cheeger inequalities for directed graphs and hypergraphs using the reweighted eigenvalue approach that was recently developed for vertex expansion in undirected graphs. The goal is to develop a new spectral theory for directed graphs and an alternative spectral theory for hypergraphs. 

Thursday, October 12, 2023 2:00 pm - 3:00 pm EDT (GMT -04:00)

PhD Seminar • Algorithms and Complexity • Ray-volution: Unveiling the Potentials of GPU-Accelerated Ray Tracing in Non-Graphical Domains

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

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

Supervisor: Professor Trevor Brown

Friday, October 13, 2023 12:00 pm - 1:00 pm EDT (GMT -04:00)

PhD Seminar • Theoretical Neuroscience • Exploiting Semantic Information in a Spiking Neural SLAM System

Please note: This PhD seminar will take place in E7 6323 and virtually.

Nicole Sandra-Yaffa Dumont, PhD candidate
David R. Cheriton School of Computer Science

Supervisors: Professors Jeff Orchard, Chris Eliasmith

Monday, October 16, 2023 12:00 pm - 1:00 pm EDT (GMT -04:00)

PhD Seminar • Machine Learning | Natural Language Processing • SortedNet, a Place for Every Network and Every Network in its Place: Towards a Generalized Solution for Training Many-in-One Neural Networks

Please note: This PhD seminar will take place online.

Mojtaba Valipour, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Ali Ghodsi