Events

Filter by:

Limit to events where the first date of the event:
Date range
Limit to events where the first date of the event:
Limit to events where the title matches:
Limit to events where the type is one or more of:
Limit to events tagged with one or more of:
Limit to events where the audience is one or more of:

Please note: This seminar will be given online.

Mennatallah El-Assady, Research Associate
Data Analysis and Visualization, University of Konstanz
Visualization for Information Analysis Lab, University of Ontario Institute of Technology

Everyone is welcome to attend this free online event.

We have all been in conversations where a friend, colleague or boss makes an off-handed or stereotypical comment. Such comments can be hurtful and make for a non-inclusive learning or working environment. We might let the comment slide because we want to move on and don’t want to make the speaker defensive. However, by not speaking up, we silently convey that such comments are OK with us and we help to normalize them.

Please note: This master’s thesis presentation will be given online.

Junyu Lai, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Justin Wan

Please note: This master’s research paper presentation will be given online. Please also note that the presentation time has been changed to 4:00 p.m.

Shikhar Sakhuja, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Sebastian Fischmeister

Please note: This master’s thesis presentation will be given online.

Amelia Holcomb, Master’s candidate
David R. Cheriton School of Computer Science

Supervisors: Professors Srinivasan Keshav, Tim Brecht

The monitoring, reporting, and verification (MRV) of forest plots, especially their tree-trunk diameters, is critical to achieving both forest protection and reforestation goals. Today’s MRV processes are mostly manual, error-prone, and costly to carry out. 

Please note: This master’s thesis presentation will be given online.

Thomas Lu, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Chris Eliasmith

This thesis explores continuous spatial and temporal representations in machine vision.