This project will develop and test a new method of integrating geospatial measurement data in order to support a Measurement-Based Data Management System. This method and the data management system that can be built from it will have the ability to improve the operational efficiency of Land Surveying firms across Canada. The partner organization expects […]

Games have often used the concept of using an AI to direct gameplay in a way that would be more enjoyable by players in the game. This has most often been targeted at dynamically adjusting the difficulty of encounters so that players will be more successful when playing through a game. However, the general concept […]

Biba is a company that creates interactive experiences for families on playgrounds and provides data for playground owners. This research project explores how can we leverage third party data sources and machine learning to confidently determine how many people are in a playground at a given time and how long they spent there. This kind […]

Transportation systems are evolving towards intelligent transportation systems and ISR Transit is a leading provider of these systems providing solutions in fleet management. In these systems, one of the enabling technologies is wireless sensor networks in which sensors are used to obtain information about the fleets. For example, sensors are deployed on motor, brake modules, […]

COVID-19 has significantly impacted the health of the global population. Although timely detection and isolation are important, vaccination is probably more effective in fighting against COVID-19. Our proposed ex-vivo can help the validation of the COVID-19 vaccine and produce antibodies for COVID-19. The benefit to the Canadian community and the industry partner is palpable.

More than 400 million people are suffering from diabetes mellitus in the present world. Till date, there is no cure for diabetes; however, it can be controlled by regulating the sugar intake in blood. Hence, diabetic patients need to monitor their blood sugar level regularly for few times a day. The conventional techniques are invasive […]

The proposed research will allow any device to contribute its computing capabilities to the general distributed computer. Combined, these devices become a super-computer — providing resources for researchers and scientists in their quest for discovery. This research focuses on the finely calibrated aspects of scheduling slices of computing on this computing network. The intern will […]

Data collection over time is a common practice in many large organizations- including financial institutions and health care providers- often with the goal of using this data to predict future challenges and opportunities. While this data may contain valuable information, it is often unstructured, coming from different sources and recorded at different times. This lack […]

Present navigation applications rely mostly on the integration of Global Navigation Satellite Systems (GNSS) and Inertial Navigation Systems (INS). However, GNSS signals are prone to interruption due to various disturbances, including signal interference and jamming. On the other hand, Low Earth Orbit (LEO) satellite constellations from several providers are becoming rapidly accessible. LEO-based communication systems […]

Public safety personnel (PSP; e.g., police officers, firefighters, paramedics, 911 communications) work to keep the Canadian public healthy and safe. Yet, as part of their jobs, PSP experience events that can be traumatic, making it more likely that PSP will develop mental health disorders compared to general people. Public safety communicators (e.g., 911, police, fire, […]

The research described in this project proposes a very realistic and Quantum Computing resilient key distribution networking protocol to enable highly secure and efficient information flow. On one hand, the protocol provides unconditional one-time-pad based encryption; on the other hand, it is based on information-theoretic concepts that can be cost-effectively implemented today to establish Quantum […]

Bell Media receives content from different providers, including content it produces in-house. There are standards for tagging audio tracks with metadata however many facilities (including Bell) do not adhere to these standards. Currently Bell uses a manual approach to classify unlabeled audio tracks, which is inefficient, and time consuming for massive digital media that Bell […]