Increasing the Reliability of Design and Production of TMotion

Recent increased enthusiasm towards Computer-Integrated Manufacturing (CIM) coupled with developments in smart sensor technologies and advances in communication systems have resulted in simultaneous incorporation of several advanced monitoring and sensing technologies within manufacturing and industrial sectors.

Flood and drought prediction, simulation, and monitoring for the City of Terrebonne

The increasing frequency of flooding has driven research to improve near real-time flood mapping from remote-sensing data. In Quebec, in
the spring of 2017, several regions experienced severe flooding caused by consecutive record-setting rain events during snowsmelt from early
April to mi0-d-May. The current project aims to provide real-time monitoring tools not only for flooding but for drought as well, i.e.,
visualization and simulation tools using both remote sensing data, but also data collected from an Internet of Things network.

Optimizing return on investment using artificial intelligence: A recommendation system-based solution

The main goal of this project is to develop an artificial intelligence based approach for recommendation to improve Videotron marketing solutions. We aim to focus on improving Vidéotron return on investment (ROI), engaging more users and retaining subscribers using advanced artificial intelligence techniques. The proposed system will be based on a collaborative filtering technique that involves state of the art deep learning and reinforcement learning techniques.

Determining the physiological mechanisms behind the ObeEnd device on (1) hormones associated with weight loss and (2) recovery from exercise

In Canada, approximately 1 in 4 adults are living with obesity. Obesity is cause by a complex interplay of genetic, behavioural, and environmental factors that can increase the risk of developing non-communicable diseases such as Type 2 diabetes mellitus, coronary heart disease, asthma, several cancers, and disability in adulthood. Restricting caloric consumption and increasing physical activity levels are used in efforts to induce weight loss. However, using these methods alone may not be sufficient in sustaining long-term weight loss.

Develop an AI-backed geospatial data collection and analysis platform as a marketable software package

The ubiquity of smartphones and their embedded technologies today can provide transportation agencies with affordable travel survey methods which place less burden on respondents and enables collection of continuous, high quality travel data. Such technologies, however, have not yet made the leap from speciality tools of academia to industry, primarily due to the specificity of domain knowledge required to produce useful information and gaps in the literature due to the difficulty of implementation.

A Social Welfare Maximization Matching Framework for Supplemental Nurse Staffing

The adequacy of hospital nurse staffing in Canada is essential for the delivery of quality health care to Canadians. In light of permanent nursing staff shortage in most of Canadian hospitals, using of supplemental nurses to bolster permanent nursing staff is widespread. Having suitably qualified staff on duty at the right time is a large determinant of service organization efficiency in providing continuity of care. On the other hand, attractive schedules are an important factor leading to successful recruiting and retaining valuable nursing personnel.

Understanding the Path from Real to Virtual Economy Adoption: The Unity Engine, Design Theory & Future Directions

This project examines virtual economy design practices within Unity Technologies Canada Company’s software engine/editor. Analysis of game design choices found within proprietary data from the company is used to determine the predominant design practices within the system and identify underlying ideological assumptions that affect the design, creation, and maintenance of virtual economies.

Development and simulation of the GreeNovel invented plastic recycling and gas cleaning process

The main objective of this project is to design a novel plastic recycling technology invented by GreeNovel Incorporation. The process is based on microwave pyrolysis of the wastes at high temperatures and in the absence of oxygen to be decomposed to pyrolysis-oil and gas. The modelling of the novel microwave pyrolysis system and the product processing section will be performed. The process simulation tool will be provided to determine the properties of the products and operating conditions of each section.

What athletic therapists need to know about pain and pain medication: an evidenced based approach

The Canadian Athletic Therapy association (CATA) is the governing board for athletic therapist, health care professionals who rehabilitate athletes who are injured or in pain. Over-the-counter and prescription medications are often used by athletes as a pain management strategy, although they can have negative impacts on their health if misused. Since Athletic therapists follow athletes on the field and in the clinic, they are likely their most available health care professional. They should therefore be able to accurately educate and answer questions regarding pain medication and management.

Qualitative assessment of breast asymmetry using 3-Dimensional modeling, with Computer Vision and Deep Learning

Breast asymmetry is a condition affecting over 50% of all women and often not a cause for significant concern, but asymmetry due to life-saving invasive surgeries like mastectomy are severe and known to have a profound impact on a breast cancer survivor’s emotional well-being and quality of life. Despite the growing demand for aesthetic and reconstructive breast surgeries in recent times, there is a lack of reliable tools for assessing patients’ breast morphology perioperatively.