Efficient Data Representation for Wildfire Predictions

Wildfires continue to pose severe threats to ecological systems, communities, and economies worldwide. Early and accurate prediction of wildfire occurrences is crucial for effective preparedness and response strategies. This study investigates the application of machine learning methods to predict global wildfire events, utilizing the SeasFire Cubes dataset — a scientific datacube designed explicitly for seasonal […]

Read More
Automated Data Analyzer

The objective of this project is to develop an automatic data analysis tool that allows users to query datasets using a natural language interface. The project aims to incorporate external knowledge sources via knowledge graph integration, thereby enhancing the accuracy of the analysis. The knowledge augmentation will be reference based using REALM or Toolformer inspired […]

Read More
Imaging Fibrosis in Peyronie’s Disease with Photoacoustic Ultrasound

Nearly 1 in 10 men are affected by Peyronie’s Disease (PD), a disorder that occurs when excessive scarring builds up in the penis leading to abnormal curvature, pain, and erectile dysfunction. Currently, a photograph of the patient’s erect penis is used to measure the curvature angle, which can be very inaccurate and can be both […]

Read More
AI-Driven Pneumothorax Detection in X-ray Imaging

This project aims to enhance the accuracy of identifying health issues in chest X-ray images. The team will develop a specialized tool, known as a “chest-tube detection model”, which will initially examine all X-rays to identify cases where patients have already received medical assistance, making it unnecessary to flag these cases. Subsequently, the remaining X-rays […]

Read More
Using a digital health platform for concussion rehabilitation in Olympic and Paralympic athletes

Due to the complex nature of a concussion recovery trajectories, rehabilitation must be tailored to the individual athlete. In high performance sport, athletes have access to world-class integrated support teams (IST) to guide concussion recovery. However, there are often barriers met, including decentralization from the team and/or travel throughout the competition year. In addition, there […]

Read More
Development and implementation of a genomic sequencing workflow to enhance laboratory diagnostics and routine reporting of respiratory viruses

Respiratory diseases caused by viruses that are frequently evolving have placed significant strains on Canadian healthcare systems. Traditional methods of diagnostics can detect the presence of viruses in clinical specimens but do not always distinguish them at the variant level. Next Generation Sequencing (NGS) is a high throughput technique that is used to determine the […]

Read More
Building a Complete Community for Downsview’s The Hangar District By Applying Advanced Design Methods and Tools

The Downsview redevelopment is one of the most significant projects to occur in the history of Toronto, led by Northcrest Developments (Northcrest). Northcrest is wholly owned by the Public Sector Pension Investment Board (PSP Investments), one of Canada’s largest pension fund managers. The goal is that over the next 30 years, the 370-acre Downsview Airport […]

Read More
3d design for fabrication: real world meets screen world

Newly available technologies for 3D fabrication — notably hobbyist 3D printers — are widening the user base for 3D design software. Autodesk, currently the industry leader in 3D design software, is broadening the scope of their activities, seeking to reach amateur users and to encourage their use of Autodesk software solutions. One of the most […]

Read More
Regeneration of ABS material by compounding from recycled SAN produced via a solvent-base green recycling process

This project is associated to the creation of a circular economy around styrene-based plastics such as polystyrene, acrylonitrile-styrene copolymer (SAN) and ABS (acrylonitrile-butadiene-styrene) terpolymer. Polystyvert has developed a technology that transform ABS post-consumer materials that come from electronics, car parts, toys ect. in a recycled SAN (rSAN) of high purity. This solvent-based technology is green […]

Read More