Artificial Intelligence based pavement distress detection and monitoring system

The Road Pavements are subjected to distress due to heavy traffic load and environmental factor and is a common cause of accidents resulting in loss of valuable life and economic losses. Regular monitoring and timely maintenance is the key to ensuring a healthy roadway infrastructure. Traditional methods of manual monitoring are time consuming, expensive and […]

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Developing and Piloting a Comprehensive Evaluation of a Community Delivered Social Communication Training Program for Families of Autistic Pre-school Children

Increasing prevalence of autism worldwide intensifies the need to identify effective and accessible supports. Speech-language therapy is one of the most frequently accessed services for children diagnosed with autism. One intervention commonly used by Speech-Language Pathologists (SLPs) is More Than Words®-The Hanen Program® for Parents of Children with Autism. Despite its widespread use, it lacks […]

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COVID-19 and resiliency: How Registered Practical Nurses working in long-term care adapt in times of personal, professional, and institutional crisis

Working in partnership, interdisciplinary professionals and the Registered Practical Nurses (RPNs) Association of Ontario (WeRPN) aim to understand what contributes to and detracts from personal, professional and institutional resiliency for RPNs during COVID-19. This is a rare opportunity to learn from front-line workers directly during historical social periods, such as COVID-19, and even less often […]

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Homelessness Prevention at Covenant House Toronto

The proposed research project to be undertaken by the intern is concerning the use of preventative measures to combat youth homelessness and trafficking in Toronto through Covenant House Toronto. Youth homelessness and trafficking are on the rise and researching how prevention for this vulnerable population can be utilized has the potential to significantly reduce rates […]

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Smart empathetic speaker based on real-time EEG-based music therapy

During COVID-19 outbreak, many people are suffering the negative emotions, causing anxiety, fear, and depression in daily life. To improve the individuals’ mental health, musical therapy will be employed due to its high value of treatment in the mental health field. In our project, a smart empathetic speaker based on real-time emotion recognition system will […]

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Barcode Image Enhancement Using Deep Learning

The use of barcodes to store alphanumeric information has spread from supermarkets to department stores, the health industry and even on the back of our drivers’ license. Recent years have also seen demand to increase the density of information encoded in barcodes. A Drivers’ License has its personal data encoded in the barcode on the […]

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Building a safe, welcoming, and inclusive environment for Para sport athletes

Rates of participation in sport among Canadians with a disability are low. Children, youth, and adults with a disability are missing out on the social and physical benefits of sport. Lack of programming is a significant barrier to participation. The proposed projects aim to address this barrier. Through a systematic program of research, we will […]

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Local Racism & Marginalization Study in the Cowichan Valley

While there are national and provincial data assessing issues involving marginalization, racism and discrimination, smaller regions require local data to develop strategies that benefit them directly. The current project aims to develop an anti-racism strategy for the Cowichan Valley region by assessing the attitudes towards marginalized groups, specifically ethnic and racial minorities, and the experiences […]

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CONVERGENT CROSS MAPPING FOR DEMAND FORECASTING

The availability of inexspensive electricity in a constant and reliable fashion is critical to economic development and efficient resource consumption. To this end, accurate short term load forecasting (STLF) on an electrical grid enable the minimization of dispatch and running costs on the scale of seconds to a week. Models and approaches employed in STLF […]

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Multi-scale Image integration for Surgical Guidance

During surgery, a neurosurgeon must refer to three levels of image information: macroscopic from the patient’s MRI or CT, providing anatomical context of the surgical target; mesoscopic information from a surgical microscope or exoscope providing a highly magnified view of the region surrounding the surgical target; and the most important microscopic information provided by histology […]

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