The beef cattle industry faces significant challenges in cattle weight monitoring, particularly in free-range systems where traditional methods are labor-intensive, inaccurate, or infrequent. This results in delayed growth, increased feeding costs, and a larger environmental footprint, requiring the development of innovative and sustainable technologies, as well as collaborative efforts. To address this, we propose an […]

SafeSocial is a mobile and web application designed to improve the safety and efficiency of social workers during home visits. By providing real-time monitoring, emergency response, and AI-powered incident reporting, the app helps social workers feel more secure and supported in the field. Key features include a panic button, live location tracking, risk assessments, and […]

Canada’s healthcare system is facing growing challenges, including rising costs, overworked providers, and limited access to preventive care. At the same time, mental health disorders and chronic diseases are increasing, often linked to disrupted sleep and daily activity patterns. Despite their impact, these disruptions are difficult to track because they rely on self-reports, occasional doctor […]

Advanced Persistent Threats (APTs) present a significant challenge to organizations due to their sophisticated, stealthy, and persistent nature. Traditional reactive security measures often do not detect these threats in real-time, leaving systems vulnerable to long-term exploitation. This research project will explore how to automate threat hunting to proactively identify APTs in real time, reducing manual […]

Mobile networks are critical infrastructure and essential in our daily lives. Containerization is the go-to solution for deploying mobile services over cloud managed by third parties. Containerized applications might suffer from unpatched software vulnerabilities resulting in impact on the security and privacy of the end users and the operations, potentially leading to financial and reputation […]

A camera is a device that captures light from scenes. Over the last century, the evolution of cameras has been truly remarkable. Through this evolution, the underlying camera has been improved by using a better optical lens. However, the new improved optical lenses, have been remained fixed in terms of size and weight which makes […]

This study proposes to evaluate the quality of movement in patients with low back pain using a novel device. We are going to measure and compare the movement of people with back pain to that of healthy people. In addition, we plan on correlating the psychological factors associated with low back pain to tissue pathology. […]

The number of biomedical scientific publications available in multiple repositories is huge and rapidly growing. As of April 2014, PubMed, the largest knowledge source for biomedical and life science literature, comprises more than 23 million citations. Querying PubMed with the keyword HIV provides a list of almost three hundred thousand citations. Retrieving data of particular […]

This project aims to help Tankon FRP improve the design of their composite tanks by using computer-based simulations and testing to make the tanks lighter and stronger. The team will update the way Tankon FRP analyzes and builds their tanks, run real-world tests on the materials, and use special software to find the best way […]

The Forum is a Canadian national charity dedicated to empowering self-identifying women, non-binary, and trans-femme entrepreneurs by addressing gender-based inequities in the entrepreneurial landscape. Through its innovative programming, strategic partnerships, and commitment to intersectional approaches, The Forum provides comprehensive support to women entrepreneurs. This research project asks: How can entrepreneurial support organizations like The Forum […]

Two IoUT localization and telemetry sensors with RF antennas and power amplifiers at 915 MHz are achieved. The two sensors were measured in the research laboratory showing a reasonable agreement with the simulation results. However, the two sensors were not measured onsite yet. Therefore, the performance of the two IoUT localization and telemetry sensors is […]

The project entails exploring the use of Machine Learning (ML) techniques to assist in the training of air traffic controllers. The core goal is to train models that help predict if an instruction given by an air traffic controller may put an aircraft at risk of colliding with another aircraft during landing procedures.