Breast cancer was the most common cancer in 109 countries including Canada (excluding skin cancer) in 2020 (WHO). Early detection is critical in prognosis. The standard-of-care in early-stage breast cancer is breast conserving surgery (BCS), typically followed by radiotherapy and/or chemotherapy and/or endocrine therapy. The gold standard for margin assessment for BCS is histopathology. Results […]

Natural history collections and the specimens stored within are vital to our understanding of biodiversity, ecology, and evolution. To both preserve and increase their accessibility, efforts are being made to digitize the world’s natural history collections. In herbariums (natural history collections for plants), machine learning is being used to assist the digitization process by classifying […]

Work-related Musculoskeletal Disorders (WMSDs) continue to be one of the most common lost-time injuries in Canada and South Korea, comprising over a third of all work-related lost-time injuries. Given the continued prevalence of WMSDs despite efforts to decrease their occurrence, a new approach to WMSDs intervention is required. This research project is to validate the […]

Having robots be able to conduct visual searching of objects in their environment is an important step towards building intelligent robotic assistants. Automatic object searching is a useful tool for social, service, and search and rescue robots; such robots would be required to reason about likely locations of an object specified by a user. However, […]

The objective of this project is to construct optimal data structures for the range closest pair (RCP) problem. The RCP problem aims to construct a data structure such that whenever a specific query range is given, the closest point-pair among those inside the given range can be reported efficiently. The RCP problem has been studied […]

Innovation in electric mobility and energy storage from renewable energy resources are two key drivers in the fast growth of a battery industry that is striving to enhance performance of battery systems with great urgency. HQ Center of Excellence is actively working on the development of an advanced battery management system (BMS) and intelligence platform. […]

With approximately 1 million amputations performed per year worldwide, the need for prosthetics has never been more prevalent. In particular, bionic prosthetics provide more freedom and assistance to amputees as it allows them to manipulate their prosthetic with their minds, feel their surroundings, and mimic human-like movements. Unfortunately, the cost of bionic prosthetics can range […]

The past two years have shown increasing distrust through online division, polarizing protests and strikes, and destructive riots. This problem has gotten worse due to our unverified, disorganized, and time consuming citizen and stakeholder engagement systems; especially social media, focus groups and town halls, and voting. In order to solve the problem of increasing distrust […]

This project’s objective is to show the utility of data from passenger cars in developing semi and fully automated driving. The challenge at hand is designing and developing artificial intelligence that can accurately and efficiently filter the most critical driving scenarios detected in a fleet.

Today, there is an abundance of social media and user engagement platforms. However, they are disorganized and unverified which creates unreliable engagement data. To explore new methods of creating an engagement platform, Veras Technologies Inc. will work with intern Md Hasan Tareque to research and develop a verified and secure engagement platform that leverages blockchain […]

The field of responsible investing is rapidly expanding, with even greater attention on the importance of responsible investment in 2021, as seen in the aftermath of the hugely impactful COP26 summit. Directing our financial resources in a sustainable direction has the potential to have a massive impact on helping us meet the Sustainable Development Goals […]

The abundance of electronic health record (EHR) data has accelerated the adoption of data-driven methods to automate various tasks ranging from patient care to resource management in hospitals around the world. The use of specific types of data such as X-ray images, doctor’s note and others have been used individually to implement machine learning models […]