Evaluation of microbolometer-based imager for wildfire radiometric imaging

Monitoring of wildland fires through infra-red remote sensing has become increasing of interest to the wildland fire management community, and quality scientific analysis of the capabilities of such sensors is critical if they are to be used in any operational way. In 2019 a joint burning experiment was carried out over several days. In 2019 […]

Read More
Electrophysiological studies of medical cannabinoids on 3D human cerebral organoids and neuroglial cultures

Epilepsy, characterized by recurrent seizures, affects 1% of the population. More than 30% of patients are drug-resistant, a significant burden to their lives. New innovative ways to treat the disorder are needed. Cannabidiol (CBD), a nonpsychoactive compound derived from the cannabis plant, has been shown to be a promising new treatment for epilepsy. In collaboration […]

Read More
Examining the role for intimal cell communication in early atherosclerosis

Atherosclerosis is a disease defined by unresolved inflammation in the major arteries. High cholesterol is a major risk factor, resulting in fatty lesions developing silently for decades before causing heart attacks and strokes. Currently, no therapies exist that target the cells of the artery wall to suppress this disease. Myeloid cells (MCs) are white blood […]

Read More
Development of Lightweight Thermally Conductive Products Reinforced with Graphene Nanoplatelets for Automotive Industry

The focus of this project is replacing some of the current automotive parts by a stronger and lighter thermally-conductive polymer nanocomposite. This project takes advantage of the exceptional mechanical and thermal properties of graphene as a commercially viable and environmentally friendly nanomaterial, through an industrial scale process, i.e. injection molding. Therefore, the outcome of this […]

Read More
Understanding Empirical Risk Minimization via Information Theory

Deep neural network (DNN) is a class of machine learning algorithms which is inspired by biological neural networks. Learning with deep neural networks has enjoyed huge empirical success in recent years across a wide variety of tasks. Lately many researchers in machine learning society have become interested in the generalization mystery: why do overparameterized DNN […]

Read More
Resili, a case study: An evaluation for improved user experience in DBT skills apps

This project seeks to build the body of academic understanding on how to effectively deliver a mental health skills-based intervention through a mobile app. The analysis will be done through retrospective and live analysis of the Resili app, a publicly available mHealth app which promotes strong mental health through the administration of a Dialectical Behaviour […]

Read More
Digitized neuroanatomical map of the human saphenous nerve

Overactive bladder (OAB) is an incurable, chronic medical condition that is characterized by symptoms of urgency, frequency, nocturia and urinary incontinence. It affects approximately 18% of adults and over 30% of the elderly population. Saphenous nerve stimulation is a novel therapy aimed at treating OAB patients. It offers an alternative to bladder medication, which can […]

Read More
Next-Generation Precision Medicine Solutions – Diagnostics

As personalized medicine approaches aim to tailor treatments to individuals, improvements are needed in the detection of existing biomarkers and genomic, epigenomic, and proteomic changes that occur during disease development. This would have potential impact on medication selection and targeted therapy, reduce adverse effects, improve cost effectiveness, and shift the goal of medicine from reactive […]

Read More
Enabling next generation cardiac therapeutics with genetic engineering and novel in vivo models for cardiomyocyte transplantation – Year two

The development of cellular therapeutics is acutely dependent on the ability to evaluate the functional characteristics of the cells in predictive animal models. This forms the basis of key pre-clinical data packages that are key for regulatory submissions preceding human clinical trials. The development of appropriate model systems, the execution of the surgical techniques to […]

Read More
An exploratory study of Asian International Students‘ experiences in Ontario Schools

A rapid increase in the number of Asian international students attending K-12 schools has led to the investigation of the complex, multi-layered aspects of the life experience and needs of Asian international students in Ontario schools. Working closely with View-Wide International Education Group and using multiple case studies, this study will explore the factor of […]

Read More
Nutrition, Genetics and Athletic Performance – Year two

This project will result in the expansion of an athlete-focused genetic test to include additional genetic markers and algorithms for the purpose of personalized caffeine advice for endurance and other forms of exercise (strength, power, anaerobic-power) through continued analysis of 23 caffeine-associated genes that affect an athlete’s response to caffeine (positive, negative or no effect). […]

Read More