In-vivo imaging provides a unique opportunity to examine complex cellular activity in live tissue. Images produced by these experiments are difficult to analyze manually, typically applied to mono-layer cell culture assays (i.e. cells in a dish). Recent advances in deep learning enable the opportunity to analyze these in-vivo tissue images with greater efficiency and accuracy. […]

The intra-operative errors that occurs in adverse events have been a major concern in healthcare and surgical industry. Conventionally, error-event assessment is done by peer surgeon review, which is time consuming and costly. With the advances in machine learning and computer vision techniques, it is possible to keep track of the operation surgical procedures based […]

People rely on recommendations from other people, friends’ word, news reports, and travel guide and so forth. Recommendation systems assist people to sift through available books, web pages, restaurants, and grocery products. [16]. We want to build a recommendation flow in the retail industry to serve Canadian citizens better. The system will understand the customers […]

For the past fifteen years, People for Education has surveyed schools about measurable resources in order to understand the impact of policy on schools, and to track changes in the education system. Public education can and should play an important role in reducing the extent to which students’ socio-economic background affects their performance in schools […]

Obstructive sleep apnea (OSA) is a common respiratory disorder in adult popUlation where it increases the mortality risk. The main treatment of OSA is continuous positive airway pressure and although it is effective in most cases, many cannot tolerate it. Therefore, it is important to develop new treatments for sleep apnea. We have proposed that […]

Ineffective diagnosis of bacterial infections leads to excess healthcare costs of $25 billion/year worldwide due to transmission of infections while waiting for diagnosis, unnecessary antibiotic treatments and resulting increased drug resistance, etc. Point-of-care molecular testing can help provide timely and effective diagnoses leading to better (and more cost-effective) patient management. Markets where point-of-care testing would […]

The goal is to create a conversation loop between 3D designers and artificial intelligence programs. This will help the AI provide suggestions to the designer, while the designer provides the AI with feedback. This can help make it easier for designing complicated objects as well as complicated textures that belong to the surface of 3D […]

Cryptocurrency markets exhibit highly chaotic behaviour, differing substantially from securities. This research project looks at the cryptocurrency markets for data–aiming to answer if it possible to create mathematical models which track the overall behaviour of the Cryptocurrency Market, while minimizing risks. Through this research we expect to reconcile the theory developed above with the real […]

Multiple myeloma (MM) is the second most common hematological cancer in Canada, affecting an estimated 2,300 people in 2011. Farm work is most consistently associated with an increased risk of MM. Occupational exposure to pesticides has been linked to increased MM risk in Canadian and European studies. Previous investigations mostly focused on individual pesticide exposures, […]

This research project focuses on the development of software for a device that can diagnose HIV and monitor its severity by taking a small sample of the patient’s blood. The software will count the number of immune cells present in the sample by taking images of the patient’s blood as it flows through the device. […]

Glioblastoma (GBM) is the most common primary adult brain tumor. Even with surgery, standard chemotherapy, and radiation, tumor recurrence and patient relapse are inevitable with a median survival rate of

An artificial intelligence tool that is capable of generating natural-sounding speech can be embedded into many valuable services such as conversational agents for the disabled and conversational assistants. Such tool, when equipped with the capability of mimicking individuals’ vocal characteristics, will improve personalization of these services. In this project the intern will seek to develop […]