Costs are continually declining for internet connected devices, known as the internet-of-things (IoT), offering solutions across various consumer, commercial and industrial applications. Concurrently, machine learning (ML) models are continually expanding their deployment platforms, from massive central servers down to microcomputers. Innovative IoT devices will run the ML models without support from central data centers or […]

1 in 5 people suffer from a mental illness, such as depression, Alzheimer’s & Parkinon’s during their lifetime. Currently, there are no treatments for these diseases, because the underlying causes of these diseases is not known. Neurescence has developed a technology that is essential for understanding how local and long-range neuronal circuits form to create […]

Social Enterprise is a catalyst for social and economic empowerment and inclusion, and has been identified as an innovative opportunity to address workforce challenges and economic sustainability in Southwestern Newfoundland. The goal of this project is to facilitate evidence-based research and analysis and to disseminate resources and practical tools which encourages and supports social enterprise […]

Numerous studies in the application of Machine Learning to mental health have demonstrated a range of benefits in the areas of diagnosis, treatment and support, research, and clinical administration. COVID-19 is an unprecedented health crisis causing a great deal of stress in populations in Canada. In this project, our aim is to apply practical machine […]

Chronic Kidney Disease (CKD) is associated with a reduced quality of life and an increased risk of kidney failure, cardiovascular events, and all-cause mortality. The goal of this project is to investigate whether the consumption of resistant potato starch (RPS) in addition to current standard care for CKD will reduce uremic toxins and symptoms by […]

Medulloblastoma (MB) is the most common childhood brain cancer. Current treatment for these tumors is invasive involving irradiation of the entire brain and spine. Although some types of MB respond well, others have an abysmal prognosis, and the lack of less invasive therapies means that children undergoing treatment suffer from severe developmental defects and reduced […]

The process of chemical dosing in sewers for mitigating the effects of odor nuisance and corrosion needs a lot of improvement in terms of on-line control of the variable amount of buffered iron salt that needs to be applied for different operating conditions and different sewage flowrates. In order to achieve this goal, this project […]

The mental well-being of youth is critical at a personal, familial, and societal level. The rise of mental illness, addictions, and suicide in youth, especially among those living in low- and middle-income countries, is of significant concern. Our global health team at the University of Toronto and Centre for Addiction and Mental Health (CAMH) has […]

Nxtgen Care provides monitoring services for elderly care homes across North America. Their product provides detailed analysis in visual formats to understand the resident’s requirements and directing care in that direction. To meet this goal, voluminous data is collected from the various activities of the residents. Through this project, this data is processed and directed […]

Vehicles that are able to autonomously move in the air, on the ground, or underwater must fuse various forms of sensor data together in order to ascertain the vehicles location relative to objects or a map. Typical sensor data includes inertial measurement unit data and some sort of positioning data, such as GPS data. However, […]

The focus of this project is on building performance evaluation (BPE) in residential houses in Southern Ontario. Eight green homes will undergo BPE to see how well they are performing. The project will compare current building performance to the designed building performance. This comparison can help to see whether a “performance gap” exists. A performance […]

Through analysis of vegetation data collected between 1991 and 2021 in Long Point National Wildlife Area, it is the goal of the research to identify trends and changes in sand dune vegetation communities following a reduction of white-tailed deer browsing pressure. By evaluating the rate and level of change in vegetation diversity, structure, and composition, […]