Renal cell carcinoma (RCC) is a common and aggressive form of kidney cancer, often diagnosed at advanced stages due to the lack of early symptoms. This project aims to improve RCC diagnosis by identifying metabolic biomarkers through a multiomics approach, integrating metabolomics and transcriptomics data. Using advanced mass spectrometry (LC-MS) and computational tools like CAT […]

Neurodegenerative diseases like Alzheimer’s and Parkinson’s cause cognitive decline, motor impairment, and emotional distress. While pharmacological treatments exist, music therapy has shown promise in alleviating symptoms. This project enhances music therapy using AI, making interventions more accessible and personalized. This project aim to develop an AI-powered wearable system that personalizes music therapy based on emotional […]

As the demand for surgical interventions and the complexity of procedures increase, the need for intelligent, scalable solutions for care automation is more urgent than ever. We aim to translate cutting-edge research in neurorehabilitation and functional assessment technologies into a new generation of medical analytics systems. Capable of extracting meaningful insights from surgical procedures, we […]

This project focuses on developing an AI-powered remote energy assessment platform that makes home energy audits more accessible, affordable, and efficient. By leveraging satellite imagery, smart meter data, and AI-driven models, the platform will provide homeowners with personalized energy efficiency recommendations and automatic rebate matching. The partner organization, Springboard Atlantic Inc., will benefit by supporting […]

Canada’s education system is facing mounting challenges. Educators are reporting high levels of stress and burnout, largely due to administrative burdens that take time away from teaching. Simultaneously, students—particularly in STEM subjects—are struggling to keep pace in a system that often lacks the capacity to provide individualized support. These issues are especially pronounced in under-resourced […]

This project will create an AI-powered device that helps shellfish hatcheries keep their larvae healthy by constantly monitoring them. The system uses smart image analysis to catch early signs of disease or stress, sends real-time alerts to staff, and reduces the need for manual checks. This makes hatcheries more efficient, helping them produce more healthy […]

Concussions pose a critical health risk in sports and other high-impact environments, yet timely and accurate diagnosis remains a challenge. Existing tools are expensive, non-portable, and impractical for field use, leading to delayed or missed diagnoses and increased long-term health risks. Concusono is revolutionizing concussion detection with a novel AI-driven portable ultrasound device that provides […]

This project will explore the market potential of a new technology that uses advanced artificial intelligence, powered by both classical and quantum methods, to help companies discover new materials faster and more efficiently. The intern will work closely with mentors and industry experts to identify which industries can benefit the most from this innovation and […]

SenseOn-Pro is a small wearable fingertip device that uses photoplethysmogram (PPG) sensor data combined with advanced algorithms to measure many different health markers and events simultaneously. It enables non-invasive, continuous monitoring of multiple chronic health conditions. The device allows the assessment of blood glucose without the need for blood pricking, which is an important component […]

Land classification is crucial for environmental monitoring, resource management, and urban planning. This research explores using Kolmogorov-Arnold Networks (KAN), a novel machine learning model, for multispectral land classification. Unlike traditional neural networks, KAN utilizes univariate functions as activation mechanisms, enhancing its ability to capture complex spatial and spectral patterns in satellite imagery. The study focuses […]

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 […]