2023 Waterloo.AI Graduate Scholarship Winners

Monday, May 1, 2023
2023 graduate scholarship winners

Meet The 2023 Waterloo.AI Graduate Scholarship Winners

Learn more about the four winners of the $5,000 Waterloo.AI 2023 Graduate Scholarship. 

Annually Waterloo.AI gives out $5000 dollar scholarship to graduate students that are doing outstanding research in AI. Here are the 2023 winners and their fields of research.

Bing Hu:

Bing shaking Harold's hand

Bing's  Ph.D. research area is in medical AI under the supervision of Professor Bryan Tripp. His research investigates how AI applied to medical records can have applications in improving patient quality of care and aid doctors and medical professionals in their tasks. His specific research interests lie at the intersection between AI, linguistics, and medicine.

Ellie Sanoubari:

Ellie

Ellie's works on REMind, which is a transformational game that uses social robots to help children learn how to intervene in bullying situations. Inspired by applied drama techniques, the game engages children in an interactive story that allows them to observe a bullying scenario between two robots, and then intervene by controlling a third bystander robot. REMind is designed to promote internal reflection and situated learning.

Iris Zhang:

Iris

Iris's research applies machine learning techniques to identify modifiable risk factors contributing to Canadian youth obesity using COMPASS student questionnaire data. She also examine the effectiveness of various data visualization methods in facilitating the explanation of machine learning model-generated outcomes to public health researchers, school principals, and COMPASS stakeholders, ultimately assisting in designing future prevention initiatives.

Cardoso Oluwaseun:

Cardoso

The future of Law is fair, intelligent, ethical, just and electric! At night I dream of a legal system that fulfills the promises of equality, accountability and justice for all. By day, I conduct research that investigates the possibility of predicting the outcome of future court cases based on precedence set by past cases, facts, evidence and arguments.