This project will recruit an intern to develop appropriate methodologies in order to assess the effectiveness of an occupational mental health promotion program that uses a blended format of in-person sessions and online learning. The intern will work closely with the industry partner to review, develop, and pilot assessment tools, oversee the data collection, analyze […]

The Neurotracker training requires participants to follow and identify holographic tennis balls moving randomly in a 3D environment. The company developing this training, CogniSens, inc. claims that it can improve sports performance by enhancing, among others, selective attention and working memory. This research project tests the efficacy of the NeuroTracker training to improve sports performance […]

Decreasing operational costs is a key criterion for organizations that manage compute clusters, such as Amazon, Microsoft, Google, Alibaba, etc. One way to decrease costs it to improve resource utilization in the cluster [13, 14]. Yet, high resource utilization can negatively affect workload performance and thus user satisfaction. Performance degradation happens when workloads running on […]

Glaucoma is the second leading cause of blindness in the world, mainly induced by increased pressure in the eye. Marijuana has been shown to reduce such pressure, thus benefit glaucoma patients. In this project, we test several components from marijuana extracts that are unlikely to cause psychoactive symptoms, for their therapeutic effects on glaucoma. This […]

Skyplan Services Ltd. is a company active in the air traffic management domain. The company is interested in expanding their current working application by benefiting from advanced technology to develop an integrated environment and solutions for air traffic management in order to provide better service at the international arena. Students to be involved in this […]

This project’s objective is to develop a capability to detect and describe anomalous situations in ground vehicle traffic. Anomalous situations are described as substantial/important changes from the traffic frequently observed for a particular route and/or time. In this sense, anomaly can be quantitatively measured by the degree of predictability of current traffic given historical observations. […]

The emerging techniques of machine learning and artificial intelligence are making revolutionary changes in all kinds of the industrial world. As a high-tech business solution company, Quartic.ai uses these modern techniques to help industrial manufactory companies work more efficiently. One of the challenging problems is to make the computer automatically recognize the status and behavior […]

This project aims at creating a robust, efficient and reliable tool for Named Entities Recognition (NER) from vast amounts of textual data related to the customer service. Named entities recognition, a subtask of information extraction, seeks to locate and classify elements in text into pre-defined categories such as the names of persons, organizations, locations, expressions […]

Contact lenses are one of the most successful biomedical devices on the market, with approximately 140 million wearers worldwide. Despite their success, these devices still struggle with discomfort, which ultimately leads people to stop using the product. One of the reasons is the buildup of tear film components on contact lenses while wearing them. The […]

Cancer afflicts 1 in 8 people worldwide. Recent advancements in bench-to-bedside translational research has resulted in numerous effective treatments. However, a harsh reality still exists in that only ~20% of patients respond positively to treatment. Not all cancers are created equal, which has led to these clinical complexities undermining treatment options. It is our goal […]

The Barkerville Gold Mine will host an intern to conduct a study to optimize chemical usage to extract gold and treat effluents. The gold mine obtains ore from a range of deposits with different mineralogical properties. The intent is to minimize chemical use and therefore reduce effluent treatment requirements thereby reducing overall environmental liabilities and […]

Protein degradation induced by PROTACs (PROteolysis TArgeting Chimeras) constitutes a novel modality of drug discovery, with advantages over the traditional approach. This approach is still at infancy and there is a lot to learn in this field. The trainees will work under academic supervisors at University of Toronto, who are experts in chemical tool development […]