Companies rely on financial reports which are generated through various transactions such as sales and expenses to understand the discrepancies between actual performance and financial forecast. Accordingly, generating commentaries on financial data might be considered as a routine operation for many companies. The previous studies indicate that machine learning algorithms can be used to automate […]

The ongoing outbreak of COVID-19 has increased the demand for critical supplies such as test kits, protective equipment, and, most importantly, mechanical ventilators. The injection moulding process is well suited to manufacture various components of mechanical ventilators. Improving mold designs is a key factor in the mass production of the injection molding of parts. In […]

In light of the national emphasis on climate change and clean growth, the federal and provincial governments have set key goals for developing and implementing globally sustainable production and consumption models in ways that improve the environment. The agricultural industries are seeking innovation and new technologies to develop more choices and alternatives in the raw […]

There is recent evidence that surviving COVID-19 (particularly following ventilator use) could result in changes to how well your brain controls functions important for daily living. Currently, however, there are few choices for clinicians to test these functions prior to hospital discharge and at follow-up. This project will develop a web-based cognitive-motor integration assessment tool […]

As a global leader of industrial footwear insoles, MegaComfort is actively engaged in developing innovative products to maintain healthy workers and prevent injuries. The goal of this research project is to provide a system that is able to scan a human foot from a single image or sequence of images (video) and be able to […]

Ce projet vise à démontrer la faisabilité technique et économique de déploiement d’une politique de maintenance axée sur le prévisionnel sur une ligne de production de sciage soigneusement choisie. Sur un horizon de 2 ans, le projet vise à développer, déployer une méthodologie normalisée de mise à niveau pour les scieries afin de migrer du […]

In the COVID 19 vaccine and anti viral therapy development, advanced optical imaging is used to measure the interaction of virus and the host cell Current microscopes is relatively slow and lacks required customization specific for COVID 19 research To address such a challenge, we plan to develop 3D print ing technology to build a […]

In the project, we will use an advanced microscope instrument, called a focused ion beam, to capture 3-D datasets of a coronavirus analogue and SARS-CoV-2 infecting cells to understand its biomechanical relationship at the cellular level. The intern will work on sample preparation, imaging of infection and turning those images into a computerized model to […]

The main goal of this project is to develop a more advanced version of the Robotic Stairclimbing Assistant (ROSA), a stair-climbing domestic service robot developed by Quantum Robotic Systems. ROSA can carry heavier household items (e.g., laundry baskets, bins, etc.) between rooms and up stairs. ROSA is meant to help seniors, people with compromised mobility, […]

When blood-vessels in the brain are damaged, substances can leak from the blood into the brain. Such leakage can affect cognition and mental health, however there are currently no clinically-available tests for detecting such leakage. In this project we are developing a method for diagnosing blood-vessel leakage using MRI. We believe that this technology may […]

Surgical training is increasingly being done using simulator technology in order to teach basic skills to residents without risking patients’ lives. However, neurosurgery lags behind other surgical specialties in the adoption of simulators. Since there are no commercial simulators in this domain, the National Research Council has embarked on a neurosurgery simulator development program, in […]

Hospitals in Ontario are operating at congestion levels that translate into long wait times, staff burnout, and inefficiencies. Decisions coping with problems are made based on incomplete data which may be days out of date because the data is collected, processed and delivered manually in an ad hoc manner. Furthermore, these decisions may be optimal […]