Edge computing is expected to play a transformative role for future AI applications in 5G networks by bringing cloud-style resource provisioning closer to the devices that have the data. Instead of running resource-intensive AI applications at the end devices, we can consolidate their execution at the edge, which brings many benefits, such as eliminating the […]

A seizure is a medical emergency. 1 in 10 people will be hit by at least one seizure in their lifetime. 1 in 26 people continue to be hit by seizures recurrently: this is epilepsy. When medications do not work, surgery is needed to cut out seizing brain tissue. Unfortunately, many people cannot presently benefit […]

We can deal with the daunting challenges of depleting fossil fuels as-well-as the toxic and greenhouse gases emitted from the gasoline/diesel driven vehicles by replacing their internal combustion engine with rechargeable batteries. This project focuses on the development of an all-metal-free and biocompatible rechargeable battery system that will compete with the existing counterparts (Lithium-ion batteries, […]

The proposed Mitacs cluster project aims to apply advanced artificial intelligence (AI) technologies to attack challenging video quality-of-experience (QoE) assessment and quality assurance problems that are critical in real-world large-scale video distribution systems. Six internship students will work closely with the technical staff members at SSIMWAVE INC, a deep-tech startup company based in Waterloo Ontario, […]

Carbon dioxide is produced from the combustion of fossil fuels and as a by-product of many chemical processes. The increasing concentration of CO2 in the atmosphere has now been decisively linked to global climate change. The use CO2 as a carbon-building block has attracted much attention due to its low cost, ease availability, and its […]

Water lentils (duckweeds) are small aquatic plants that naturally found in ponds, lakes, and streams. Water lentils have been consumed by human populations for decades, and are a plant-based and sustainable source of proteins, potassium, iron, and fatty acids. Fifty years of ecological studies on the effects of abiotic factors on plant nutrients have shown […]

A survey, comprised of 20 questions, and organized according to the following four categories/themes: 1) Patterns of use; 2) Perceived health risks; 3) Access to e-cigarettes; and 4) Exposure to cultural content (i.e. marketing and advertisements) will be distributed to a minimum of 100 students from grades 7-12 in the Ottawa private school system. The […]

The use of fossil fuels for energy has led to the significant emission of greenhouse gases from the stationary and automobile sources. Methane (CH4) is an abundant source of fuel found in large quantities in natural gas reserves or produced synthetically is an alternative fuel for motor vehicles, large track transportation, marine application because of […]

The project will foster high-quality analysis of taxation and other public policies in Canada. We will assemble data on public finances of governments in Canada and, to make them more useful for policy analysis, we will transform the data to make them consistent over time and across geographic units of Canada. We will make the […]

This Mitacs project addresses a significant barrier the partner company (Fibos Inc.) is facing with their current customers in manufacturing of fibre optical sensors that can be robust and cost effective for the high temperature and pressure environments. The market is aimed at sensing of rotor assemblies in turbines where electrical and other means of […]

This project aims at experimentally validating the commercial viability of a new silicon photonics design which provides state of the art monolithic integration of various CMOS control electronics and BiCMOS high speed RF drive electronics which may be combined with high bandwidth non-hermetic SMT packages capable of withstanding standard high volume solder reflow processes. Combining […]

This research helps to automate ontology development in order to support semi-supervised and active learning chatbot as much as possible, so that the overhead of chatbot training that requires human supervision is minimized, while relevant knowledge management activities become more efficient. The research objectives are both to refine the quality of the chatbot interactions and […]