Computer-Aided Detection of Kidney Tumors using MRI Images and Deep Learning

Renal cell carcinoma (RCC) is the most common type of kidney cancer, accounting for 3% of all cancers diagnosed in adults. Medical Imaging is essential in diagnosis and treatment of kidney cancers. Magnetic Resonance Imaging (MRI) is now increasingly used in diagnosis and treatment of kidney cancer because of its ability to provide more insights […]

Read More
Effects of plant mix, restoration year, and management regime of urban meadows on plant-pollinator network size, structure, and diversity

The purpose of this project is to identify bees and evaluate plant-pollinator networks based on the biomonitoring surveys conducted at the Meadoway in 2020-2021 with the Toronto and Region Conservation Authority (TRCA). The aim of these surveys is to develop a baseline understanding of bee diversity in The Meadoway and evaluate the effects of plant […]

Read More
Development of a textile-based sensor for measuring body fluid

Heart failure (HF) is the third most common reason for hospitalization in Canada, where, the direct health care costs of HF are $2.8 billion. HF affects 600,000 Canadians with median survival of only 1.5 years after diagnosis. HF patients stay longer at hospital. Even after discharge, 1 out of 5 of patients returns to the […]

Read More
Confessional Knowing: A critically queer reading of friendships in the letters and journals of modernist women

This project will make use of unique research knowledge and expertise (Gammel) and specialist archive collections within the Modern Literature and Culture Research Centre at Ryerson University, including life writing materials such as autobiographical accounts, diaries and letters of figures, in particular Gertrude Stein and Florine Stettheimer. It aims to develop a queer/feminist methodology, through […]

Read More
Using low-cost, wearable, sensors to detect driver state: Towards development of new algorithms for real-time detection of driver fatigue

Driver drowsiness is one of the leading causes of road-based crashes. Using a driving simulator study, I plan to help with the collection of data on drowsy drivers, analysing drivers’ physiological metrics, such as eye-tracking, heart rate variability and skin conductance, using low-cost consumer grade sensors. Using sensor fusion of the physiological data, I will […]

Read More
Delineation and phenology of the invasive box tree moth (BTM) in Toronto

The box tree moth (BTM) (Cydalima perspectalis) is an invasive insect pest from Asia that was confirmed to be present in Etobicoke, Ontario by the CFIA in November, 2018. This is the first known introduction of BTM to North America. BTM attacks boxwood (Buxus spp.), a popular broadleaf plant used in residential and commercial gardens, […]

Read More
Performance Enhancing Effects of Altering Blood Flow Patterns

The vision of Own The Podium is for Canada to be a world leader in high performance sport. With this vision comes the required investment into our understanding of how athletes adapt to training and how this understanding can be leveraged to provide our national level athletes a competitive edge on the world stage. This […]

Read More
Gamifying Learning: From Research to Practice

The project is intended to support and enhance the learnings provided by Stem Minds – a Toronto based start-up that provides digital learning focused on Science, Technology, Engineering and Mathematics (STEM), through the approach of gamification. The project will focus on the factors that motivate students to learn STEM subjects through gamification to deepen their […]

Read More
Unilever Canada Collective Intelligence Platform

Research project “Prophet” aims to build a demand forecasting pipeline that collects data and applies machine learning models to make accurate predictions of future demands under unstable scenarios. In particular, this project will focus on efficient forecast of Unilever’s base SKUs and involve model development based on time-series, machine learning and possibly combinations of the […]

Read More
Economical production of polyhydroxyalkanoate (PHA) copolymers from biosolids and/or hemp stems

The objective of the research is to validate and enhance production of polyhydroxyalkanoate (PHA) biopolymers from hemp stems, agricultural waste. Two interns will carry out the proposed work to upcycling hemp stems into the biopolymers with advanced biotechnologies of fermentation and PHA synthesis. The final biopolymers produced from hemp stems will be characterized for physical, […]

Read More