In this project, charging and driving data of 1000 electric vehicles (EVs) across Canada will be monitored and analyzed to figure out the impact of EVs on the electrical power grid, and their potential capability to reduce CO2 emissions. For this purpose, the degree to which a particular electricity grid profile, the vehicle type and […]

As Canada’s infrastructure grow older every year, the inspection and maintenance of these capital intensive assets becomes more challenging. Most deterioration mechanism occur over a long period of time. Certain defects remain unnoticed during regular inspection until it is too late. Unfortunately, delayed diagnosis of defects can significantly increase the annual cost of maintenance. Inspectors […]

Safety-critical systems are pervasive throughout our society with everyday objects such as airplanes, cars, trains, or medical devices. The requested functionality and expectations from these systems are growing rapidly and consequently, they become more complex. The complexity is usually handled by breaking the system into manageable smaller components and parts. Factories then integrate these parts […]

Currently, no Canadian-based companies are involved in the manufacturing of state-of-the-art research tools for atomic layer deposition (ALD). Angstrom Engineering is a leading manufacturer of similar technologies – physical vapour deposition and chemical vapour deposition – and have identified an opportunity to produce the first ALD research tool manufactured entirely in Canada. ALD is a […]

Hazelnuts are a new crop being explored in Ontario by Ferrero Canada with the potential to reach significant acreage (10,000 hectares). Hazelnuts currently only occupy less than 300 acres in Ontario and this project will investigate how hazelnuts can transition from a niche product to achieve major adoption in Ontario’s farming community. Interviews will be […]

Reusable plastic crates (RPC’s) are being adopted by the food industry due to the perceived benefits of reduced waste (i.e. paper board), economics and sustainability. However, by reusing crates there is a possibility of distributing contamination from one user to the next if the RPC’s are not sanitized after leaving retailer. Evidence collected over the […]

Voices.com, the largest online marketplace of voice talent, have identified Machine Learning as an enabler for future growth. In particular, incorporating Natural Language Processing (NLP) into structured queries and automatic classification of sample recordings. The first phase of this research will use machine learning to identify and train an NLP learnable parser. The second phase […]

The goal of this project is to design computationally-efficient solvers that can be used for autonomous vehicle control developments. Because autonomous cars have complex mathematical models, it is usually hard to perform their necessary control computations on-line and when the vehicle is running. Therefore, it is required to come up with much faster solvers for […]

Organic light emitting diodes (OLEDs) are thin layers of organic chemicals with that emit light. As a novel form of technology, OLEDs can be used to manufacture flexible and ultrathin visual screens for mobile phones and televisions. They are extremely efficient; they produce very bright lights while producing very little heat. Designing better and cheaper […]

Infections acquired through long-term catheter use are a major problem for nearly 20% of all patients. This project seeks to apply Econous Systems’ anti-fouling MEG-OH coating to biomedical plastic catheters to see if they prevent the 3 most common microbes: E. coli, C. Albicans and S. Aureus, from growing. This will initially involve in vitro […]

Pain is among the top 3 most common reasons for seeking medical help. ManagingLife has developed a mobile-based app, called Manage My Pain, to help chronic-pain patients by providing a simplistic, customizable and comprehensive interface to track pain symptoms and pain experience at a frequency chosen by the users. ManagingLife is interested in understanding the […]

System performance can be analyzed by measuring its operation, and by studying a performance model. Each has advantages: measurements have fidelity to the actual system, while models have predictive power. This work will join the two approaches, by creating a model from data collected from traces. If successful, this model will help Ciena to understand […]