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photo of Professor Gautam Kamath in the Davis Centre
Thursday, April 27, 2023

Gautam Kamath among eight Canada CIFAR AI Chairs, named Vector Institute Faculty Member

Cheriton School of Computer Science Professor Gautam Kamath has been named a Canada CIFAR AI Chair and a Vector Institute Faculty Member in recognition of his contributions to differential privacy, machine learning and statistics. He is among eight outstanding researchers in the latest cohort of Canada CIFAR AI Chairs to receive this prestigious national recognition. 

Tuesday, May 16, 2023 1:00 pm - 2:00 pm EDT (GMT -04:00)

PhD Seminar • Cryptography, Security, and Privacy (CrySP) • DHTPIR: Using PIR against Chilling Effects for Censorship-resistant Publishing

Please note: This PhD seminar will take place online.

Miti Mazmudar, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Ian Goldberg

Thursday, May 11, 2023 1:00 pm - 2:00 pm EDT (GMT -04:00)

Master’s Thesis Presentation • Artificial Intelligence • Student Success in Co-operative Education: An Analysis of Job Postings and Performance Evaluations

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

Veronica Salm, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Lukasz Golab

Co-operative education (co-op) programs combine coursework and work internships and have become popular worldwide. In this analysis, we use two separate co-op datasets to understand employer expectations and factors that contribute to student success.

photo of Professor Hong Zhang
Monday, April 24, 2023

Meet Hong Zhang, a professor who develops high-performance, scalable systems for big data and machine learning applications

Hong Zhang joined the Cheriton School of Computer Science as an Assistant Professor in 2023. He develops high-performance, scalable systems for big data and machine learning applications. His research advocates an application-oriented design principle for big data and machine learning systems that fully exploit application-specific structures such as communication patterns, execution dependencies, and machine learning model structures to suit application-specific performance demands. 

Thursday, April 27, 2023 12:00 pm - 1:00 pm EDT (GMT -04:00)

Master’s Research Paper Presentation • Artificial Intelligence • Literature Review of Question Answering

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

Michael Karras, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Olga Veksler

LLMs are currently dominating the scene in AI research. In our literature review, we aim to analyze the subfield of question answering in the domains of both natural language and coding through LLMs. We will discuss the underlying RL algorithm, datasets and current advances in this space.

Tuesday, May 2, 2023 10:00 am - 11:00 am EDT (GMT -04:00)

PhD Seminar • Artificial Intelligence • Presenting Multiagent Challenges in Team Sports Analytics and Ice Hockey Passing and Pressure Metrics

Please note: This PhD seminar will take place in DC 3317 and virtually over Zoom.

David Radke, PhD candidate
David R. Cheriton School of Computer Science

Supervisors: Professors Kate Larson, Tim Brecht

photo of Professor Edith Law
Thursday, April 20, 2023

Edith Law and her colleagues form Inria Associate Team to develop personalized curious tech to support lifelong learning

Principal investigators Professor Edith Law at the Cheriton School of Computer Science and Professor Hélène Sauzéon at Université de Bordeaux have been funded to create an Associate Team at Inria, France’s National Institute for Research in Digital Science and Technology. Inria’s Associate Team program supports bilateral scientific collaborations and promotes and strengthens the institute’s strategic partnerships with leading researchers abroad.