The broad goal of this project is to create and implement a system which is able of assessing and classifying skin burns (and other types of skin lesions/wounds) using different state-of-the-art machine learning models and techniques such as EfficientNets, Reinforcement learning, saliency mappers, CAM, etc… The work that will be completed during this internship will […]

The goal of this industry partnered project is to develop accessible online cognitive tests for children with neurodevelopmental disorders such as autism spectrum disorder or attention deficit hyperactivity disorder. Presently, Cambridge Brain Sciences is a leader in offering on-demand cognitive testing for typically-developing children and adults. An intern who is a graduate student in school […]

Stories are powerful. They weave us together and shape how we see the world. This project invites ALL Canadians to be storytellers for a common cause: the health and sustainable use of the global ocean, and all waterways leading to it. In Canada, the ocean can be understood as an interconnected expanse encompassing coastal areas, […]

Electrification connects renewable, low-carbon energy sources to the energy services that power modern society. Delivering this energy in the form of electricity is a formidable challenge, as the current electrical transmission network is not structured to deliver the amount of electrical energy needed to propel our vehicles, heat and cool our homes, and power industry […]

The purpose of this project is to innovate how businesses market in the energy efficiency and building industries. The challenge lies in the fact that many businesses in these industries have continued to thrive using minimal or traditional marketing methods. During the course of the internship, the intern will work with the A&J Energy Consultants […]

To prevent accidents and reduce risk checking the integrity of industrial tools is very vital in some industries such as oil and gas facilities, Nuclear powerplants, aerospace industries etc. These inspections are generally done manually by hand and visual inspection. Which is both time consuming and error prone. Inspection of some complex tools might require […]

This research is being conducted by a team of forensic psychologists working on a project to advance the way expert witnesses evaluate interrogations for coercion and risk factors for false confession. There is a solid base of research on coercive interrogation practices and on factors that may result in individuals being more vulnerable to coercion […]

The construction industry is moving towards automation using 3D concrete printing (3DCP) technology. The 3DCP technology has many advantages including a positive impact on our environment. Current 3D printing material uses a large amount of Portland cement (PC) and natural resources (sand and crushed stones). These printing materials are environmentally harmful because the production of […]

Trocars are specialized medical devices which are commonly used in laparoscopic surgery, a minimally invasive procedure used to examine and/or operate inside the abdominal cavity. While morbidity and complications using this approach are significantly lower than open procedures, over half of all laparoscopic complications are attributed to trocar-related injuries during entry into the body. Additional […]

Improving and optimizing a full scale prototype which is being used to develop electric vehicle control software

Using Simmunome simulations, researchers and companies can predict the likelihood of success or failure before embarking on, or continuing with, costly clinical development programs. We focus on understanding the biological system and applying this towards higher accuracy in disease simulations. We achieve this by using different types of data from various public and proprietary sources […]

This research aims to develop an efficient machine learning model to detect COVID-19 patients by using their cough signals. The model is trained using thousands of audio recordings of cough signals from different subjects. The audio signals can be converted into spectrogram images that can be visually inspected to determine relevant regions of interest. There […]