Wes Graham Symposium

Saturday, October 1, 2022 3:00 pm - 3:00 pm EDT

Wes Graham Symposium banner
The Faculty of Mathematics and the Faculty of Health invite you to join us on Saturday, October 1, at the Wes Graham Symposium, a celebration of research and innovation made possible by the legacy of James Wesley (Wes) Graham.

This complimentary event begins at 3 PM in M3 1006 with welcome addresses from:

Hear about research, recognized and supported in Graham’s name, in artificial intelligence, data science, bioinformatics, health informatics, and healthcare applications:

Lectures will be followed by a reception, with refreshments, to present the J.W. Graham Medal in Computing and Innovation to Don Cowan, hosted in the M3 Atrium. 



Event, description and room

3:oo PM

Wes Graham Symposium begins (M3 1006)

3:05 PM

Welcome and Opening Remarks (M3 1006)
Dr. Vivek Goel
President, University of Waterloo

3:10 PM

Greeting from the Faculty of Mathematics (M3 1006)
Mark Giesbrecht
Dean, Faculty of Mathematics, University of Waterloo

3:15 PM Greeting from the Faculty of Health (M3 1006)
John Hirdes
Professor, Faculty of Health, University of Waterloo

3:20 PM

Greeting from the 2020 Recipient of J.W. Graham Medal in Computing and Innovation (M3 1006)
Joanne McKinley
Director of Software Development, Google

3:25 PM

Crowdsourcing Medical Time Series Annotation: Expertise, Ambiguity and Human-AI Collaboration (M3 1006)
Edith Law, Wes Graham Research Fellow 2020-2021
University of Waterloo

Many crowdsourcing contexts involve tasks that are short and simple, requiring little expertise or context. In this talk, I will discuss projects in which we tackle the problem of crowdsourcing medical time series annotation, addressing questions such as: To what extent can we engage non-experts to annotate medical data? What tools can we design to enable small groups of experts to collaboratively handle ambiguous edge cases? What are the various roles that AI can play in medical crowdsourcing systems? We will describe two platforms---MechanicalHeart and CrowdEEG---and findings from several studies that provide insights into how we can design systems that coordinate human and machine intelligence to tackle these difficult annotation problems.

4:15 PM

Smart Public Health: Next-Generation Ubiquitous Technologies for Health Research (M3 1006)
Pedro Elkind Velmovitsky, PhD student in Public Health and Health Systems
University of Waterloo

At the Ubiquitous Health Technology Lab, we focus on the development of systemic approaches to health data integration leveraging mHealth and IoT for public health surveillance. We design, develop, and evaluate technologies that can be used with minimal burden to the user, maximum reliability and outstanding user experience: zero-effort technology allows data to be collected without any attachments or markers on technology users. In this presentation, we will present and discuss the several projects we have at the lab using smart technologies, from mental health and healthy aging to environmental research and detection of misinformation, and how data from these projects connect into a unified and secure health data ecosystem.

4:55 PM

Closing Remarks (M3 1006)

5:00 PM

Wes Graham Symposium Reception in the M3 Atrium

Refreshments to be served with a special presentation of the J.W. Graham Medal in Computing and Innovation to Don Cowan


Complimentary parking will be available on Saturday, October 1 in any ungated parking lots such as lot Q and X. For information on all parking options please visit https://uwaterloo.ca/parking/about/our-parking-lots