Between 1888 and 1958, several hundred government surveyors worked across the mountainous regions of what is now western Canada to create topographic maps. To do so, they used a made-in-Canada technique employing photography and a transit. Left in the wake of their map-making are more than 120,000 photographic negatives. Today these images are used to […]

One promising approach for the advancement of both fuel cells and electrolyzers is the incorporation of anion exchange membranes. These would provide many potential benefits, such as a significantly decrease cost as they do not rely on expensive precious metal catalysts. However, anion exchange membranes still face multiple challenges, one of them being their chemical […]

Form Athletica Inc.’s augmented reality swim goggles (FORM goggles) are on the leading frontier of augmented reality sport technology. With their see-through display and ability to track and display numerous swimming performance metrics in real-time, swimmers have the opportunity to train in a smarter and more efficient way. Exploiting data from the FORM goggles will […]

JavaScript is widely used today to create interactive web applications that replace many traditional desktop applications. However, understanding the behaviour of web applications is a challenging endeavour for developers. Despite its importance and challenges, there is currently not much research dedicated to supporting program comprehension for web applications and popular industrial tools, such as Firebug […]

Additive manufacturing (AM), also known as metal 3D printing, can revolutionize the way we make things by ‘printing’ parts one layer at a time using a laser and metal powder. However, AM is an inherently expensive process. One of the major costs of the process is the metal powders, with some powders costing hundreds of […]

The objective of this research project is to build capacity among Indigenous Nations and the conservation sector to catalyze reconciliation through the establishment of Indigenous Protected and Conserved Areas (IPCAs). To do so, this we will investigate how knowledge and evidence-based research can be effectively communicated in cross-cultural and Indigenous contexts. While the field of […]

This project will help to design and develop the user interface and an image picture archiving and communication system (PACS) for mobile teledermatology for use in an application of skin imaging. This will enable both patients and specialists to acquire, archive and manage dermatological images for further diagnosis, triage and follow-up purposes. The project goals […]

Numerous Machine Learning (ML) tasks are forecasting problems, used to make downstream decisions. Acting on ML forecasts however can changes the distribution of observations relevant to the forecast. The implication is downstream decision optimization procedures implicitly expect the ML model to generalize outside of the observational distribution. Unfortunately, this is often not the case, and […]

Canada is a multi-cultural nation that welcomes immigrants from around the world, many of whom present a high prevalence of chronic medical conditions and its risk factors. To minimize this burden, it is essential that individuals at risk of such diseases are connected to evidence-based health information. Therefore, there is a need for strategies that […]

The goal of this proposal is we aim to develop an injectable drug delivery system for intratumoral delivery of a combination of an AXL-inhibitor and FDA-approved chemotherapy drug (e.g.Dox). AXL inhibitors in combination with chemotherapies that target the DNA of cancer cells is a promising approach for treating cancers. The device is integrable to a […]

Photoacoustic (PA) imaging has shown great potential in cancer detection, tissue characterization, and therapeutic applications. Laser diode-based PA imaging is a new development in this field that can be used for image guidance, nerve or cancer imaging, and the localization of a needle target during biopsy procedures. The PA imaging requires very accurate time synchronization […]

Tensor networks are a quantum inspired technique that provide useful mechanisms for solving hard problems, usually in the realm of quantum mechanics and many-body systems, through the manipulation and operation of tensors. The main challenge underlying this project is the productionalization of a quantum-inspired deep learning algorithm which currently exists as a proof of concept […]