COVID-19 has significantly impacted the health of the global population. Although timely detection and isolation are important, vaccination is probably more effective in fighting against COVID-19. Our proposed ex-vivo can help the validation of the COVID-19 vaccine and produce antibodies for COVID-19. The benefit to the Canadian community and the industry partner is palpable.

Ultrasound, an inexpensive, accessible and portable device is gaining popularity in various disease diagnoses. In this project, we aim to analyze the ultrasound images generated for knee joint for diagnosing hemarthrosis (joint bleeding), a common clinical event in patients with severe hemophilia. We aim to analyze the images using machine learning and deep learning techniques. […]

This project is about a novel chip-based wireless power transfer system. Its integrated and flexible design eliminates the need for power cables for any DC device in homes, offices, parkades and power generating facilities. Unlike existing solutions, the system operates simultaneously with multi electricity requirement devices, has extended range, generates no heat, can transfer power […]

Solar power currently makes up a tiny fraction of all global energy needs. The current silicon based solar cell technologies which on average operate at around 15-17% efficiency have low likelihood of being a total fossil fuel replacement. They have very slow energy payback, their mass production cost savings are hitting a wall, and they […]

More than 400 million people are suffering from diabetes mellitus in the present world. Till date, there is no cure for diabetes; however, it can be controlled by regulating the sugar intake in blood. Hence, diabetic patients need to monitor their blood sugar level regularly for few times a day. The conventional techniques are invasive […]

The CTD is a rosette structure which is circular in shape and houses a number of elements. These elements include sensors, water sample bottles, ropes and cables to support the CTD structure. The sensors included in the CTD are not limited to conductivity, temperature and depth, but also include sensors to determine other physical properties. […]

COVID-19 is a highly infectious respiratory disease that is caused by the SARS-CoV-2 virus. RT-qPCR is a nucleic acid testing that is widely adapted to confirm the infection. Point-of-care IgM/IgG testing strips have been adopted in some countries for screening and surveillance. However, these antibody testing strips are restricted to a positive/negative testing result. Because […]

In Canada, as of April 21, only 569,878 people (~1.5% of the population) have been tested, with more than 38,413 positive COVID-19 cases identified; yet most people, including the asymptomatic COVID-19 cases, are not eligible for testing. Given that as many as 45% of all COVID-19 cases lack the known symptoms, or so-called asymptomatic cases, […]

Rail transit and freight rail properties apply rail grinding to maintain rail condition and ensure satisfactory performance of rail infrastructure systems. The proposed research investigates and applies a variety of computationally intelligent algorithms to establish useful relationships between rail corrugation, noise generation, and vibration. These relationships will support more timely and effective rail grinding interventions. […]

The research described in this project proposes a very realistic and Quantum Computing resilient key distribution networking protocol to enable highly secure and efficient information flow. On one hand, the protocol provides unconditional one-time-pad based encryption; on the other hand, it is based on information-theoretic concepts that can be cost-effectively implemented today to establish Quantum […]

Bell Media receives content from different providers, including content it produces in-house. There are standards for tagging audio tracks with metadata however many facilities (including Bell) do not adhere to these standards. Currently Bell uses a manual approach to classify unlabeled audio tracks, which is inefficient, and time consuming for massive digital media that Bell […]

Many of the current greenhouse cultivation processes can be labor intensive, unable to accurately capture all information on a plant, and hard to manage as grower’s operation scale. By proposing a new method of collecting and analyzing data in these greenhouse using computer vision and machine learning, interns will try to improve the efficiencies of […]