The main objective of this project is to provide a testing and optimization platform that will accelerate the availability of smart systems for seniors’ home healthcare. The interns from this program will start developing a novel versatile connection protocol that will connect different devices and sensors to the hub provided by our industrial partner SMARTONE. […]

The Centre for the Commercialization of Antibodies and Biologics (CCAB) is working with Empirica Therapeutics (Empirica), a Canadian start-up company focused on developing data-driven treatments for cancer, to address the unmet medical needs of glioblastoma (GBM), the most common adult malignant primary brain tumor. Current therapies are only partly effective, with frequent relapse and poor […]

Machine learning for healthcare promises to improve our diagnostic ability, to plot optimal treatment plans, and to smooth clinical operations and lower costs. But, central to these promises is a strong, generalizable numerical representation of a patient’s prior medical history that is reflective of clinical similarity and amenable to modeling. Learning such a representation is […]

Advances in cloud computing have enabled the Computer-aided design industry to develop fully-synchronous, collaborative CAD. Synchronous CAD is unique in that it allows multiple users to manipulate the same CAD model at the same time, and saves changes in real time—much like a “Google Docs” document. These new design environments engender real-time collaboration and are touted to be the […]

Automakers are investigating the autonomous vehicle as a replacement for traditional driving, not only to free up drivers from the task of driving, but in conjunction with a transition from owned to shared cars. In this scenario, people need no longer own cars or hire taxi/uber/lyft, but rather will be able to hire an autonomous […]

The overall objective of our project is to develop a better understanding of the positive effects of prism adaptation in patients with spatial neglect. Remarkable, long-lasting changes have already been found using paper tests; we aim to take this one step further and test for changes in activities that are important in every-day life. We […]

Developing energy efficient materials for new age technology is an area of extreme interest in academics as well industries. Hybrid perovskites are have proved to be rapidly growing to be promising materials in the field of solar cells with efficiencies reaching 23%. The versatile nature, simple synthesis route, tunability, dimensionality effects and other interesting features […]

Infectious salmon anemia virus (ISAV) causes severe anemia in salmon and has mortality rates that approach 100%. Over the last 30 years, ISAV has caused major disease outbreaks in farmed salmon in Canada, the US, and Chile. In 2012, a confirmed outbreak in Newfoundland prompted the destruction of 450,000 farmed salmon. The virus has caused […]

Galactic Magnetic Fields (GMF) have always been an intriguing topic to astronomers: they play a big role in star formations, Galactic structures, interstellar medium (ISM) distribution, etc. Therefore, understanding these structures becomes a crucial part to unravel the mystery of our Galaxy. A main signature of magnetic fields is that they can rotate polarized light […]

This research project involves investigating how Helicobacter pylori is causing gastric cancer. We will be investigating proteins which have been shown to target the nucleus and cause a cancerous microenvironment, as well as epithelial-mesenchymal transition cells in their recombinant forms. Currently, there is little known about the effects of these proteins in their endogenous forms. […]

Hybrid airships with vertical take-off and landing (VTOL) capability have the potential to drastically simply the commercial transportation system by picking up payload from the pick-up points and delivering it directly to the pre-set destinations. Development of new electric hybrid airship designs for the Canadian and global transport industry will lead to lower shipping costs, […]

The explosion of popularity of deep learning owes a lot to the success of convolutional neural networks, widely used in diverse fields including computer vision and natural language processing. Recently, the group equivariant convolutional neural network (G-CNN) was introduced, where equivariance of symmetries inherent in the data set is built in the architecture of the […]