Events by month

Please note: This PhD defence will take place in DC 1331 and online.

Yen-Ting (Allen) Yeh, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Daniel Vogel

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

Kasper Hornbæk, Professor of Human-Centred Computing
Department of Computer Science, University of Copenhagen

Theory is supposed to be central to science. Yet the field of human-computer interaction (HCI) seems confused about what theory is and what to do with it.

Please note: This seminar will take place in DC 1302 and online.

Ishaq Aden-Ali, PhD candidate
Electrical Engineering and Computer Sciences
University of California, Berkeley

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

Victor Luchangco
Principal Algorithms Researcher, Algorand

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

Ahmed Alquraan, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Samer Al-Kiswany

Bio: Ahmed is a 5th-year PhD student working with Samer Al-Kiswany. His work focuses on utilizing new data center technologies to build efficient and reliable data stores.

Please note: This master’s thesis presentation will take place in DC 1331 and online.

Yue Lyu, Master’s candidate
David R. Cheriton School of Computer Science

Supervisors: Professors Jian Zhao, Keiko Katsuragawa

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

Damien Masson, PhD candidate
David R. Cheriton School of Computer Science

Supervisors: Professors Daniel Vogel, Géry Casiez, Sylvain Malacria

Please note: This seminar will take place in DC 1302 and online.

Bobby Miraftab, Postdoctoral Researcher
Algorithms, Graphs, and Geometry Lab, Carleton University

Please note: This PhD defence will take place online. Also note the atypical start time — 9:00 p.m.

Yongqiang Tian, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Chengnian Sun

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

Themis Gouleakis, Senior Research Fellow
National University of Singapore

The enormous success of the field of machine learning in recent years and its ability to make accurate predictions using data has also influenced research in other areas. In this talk, we will explore such settings where “machine learned advice” can be exploited.

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

Sreeharsha Udayashankar, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Samer Al-Kiswany

Please note: This PhD seminar will take place online.

Johra Muhammad Moosa, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Bin Ma

Please note: This PhD seminar will take place online.

Andre Kassis, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Urs Hengartner

Please note: This PhD defence will take place online.

Zhiying (Gin) Jiang, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Jimmy Lin

In this thesis, we aim at improving interpretability and generalizability through restricting representations. We choose to approach interpretability by focusing on attribution analysis to understand which features contribute to prediction on BERT, and to approach generalizability by focusing on effective methods in low-data regime.

Please note: This PhD seminar will take place in DC 3317.

Kaiyu (Kevin) Wu, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor J. Ian Munro

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

Enamul Haque, PhD candidate
David R. Cheriton School of Computer Science

Supervisors: Professors Grant Weddell, David Toman

Please note: This PhD defence will take place in DC 3317 and online.

Ke Nian, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Yuying Li

Please note: This distinguished lecture will take place in DC 1302 and online.

Earl T. Barr
Professor of Software Engineering
University College London

Please note: This PhD defence will take place in DC 1331 and online.

Tim Dockhorn, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Yaoliang Yu

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

Steph McIntyre, Master’s candidate
David R. Cheriton School of Computer Science

Supervisors: Professors David Toman, Grant Weddell

Please note: This PhD defence will take place in DC 3317.

Ivens Portugal, PhD candidate
David R. Cheriton School of Computer Science

Supervisors: Professors Paulo Alencar, Donald Cowan, Daniel Berry

Please note: This PhD seminar will take place in DC 3102.

Andrew Na, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Justin Wan

Please note: This PhD defence will take place online.

Amine Mhedhbi, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Semih Salihoğlu

Please note: This PhD seminar will take place online.

Damien Masson, PhD candidate
David R. Cheriton School of Computer Science

Supervisors: Professors Daniel Vogel, Géry Casiez, Sylvain Malacria

Please note: This PhD seminar will take place online.

Ehsan Ganjidoost, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Jeff Orchard

Please note: This master’s thesis presentation will take place in DC 2102 and online.

Steven Lawrence, Master’s candidate
David R. Cheriton School of Computer Science

Supervisors: Professors Kerstin Dautenhahn, Jesse Hoey

As robots increasingly permeate diverse domains such as healthcare, education, service industries, and domestic environments, the significance of understanding and navigating human-robot interactions intensifies.

Please note: This PhD seminar will take place online.

Johra Muhammad Moosa, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Bin Ma

Please note: This PhD defence will take place in DC 1331.

Kaiyu Wu, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Ian Munro

Please note: This master’s thesis presentation will take place in DC 3317 and online.

Matthew Regehr, Master’s candidate
David R. Cheriton School of Computer Science

Supervisors: Professors Gautam Kamath, Shai Ben-David

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

Shadi Ghasemitaheri, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Lukasz Golab

Accurate forest monitoring data are essential for understanding and conserving forest ecosystems. However, the remoteness of forests and the scarcity of ground truth make it hard to identify data quality issues.