The goal of this research project is to identify ways to apply machine learning technology to help communication network operators cope with the vast amounts of data they must process to understand the health of their networks and to quickly resolve problems.

Active vision or perception is one that can manipulate the viewpoint of the cameras in order to investigate the environment, and get better information from it. It mostly encourages the idea of moving a visual sensor to constrain interpretation of its environment. This research in active vision is concerned with determining the 3D pose and […]

A crisis is looming for many Ontario citizens with developmental disability and other challenges that make their support needs especially complex. In recent decades a process of deinstitutionalization moved the Province away from a morally problematic “warehousing” model towards one where people had an opportunity at meaningful lives in their communities. However, many are living […]

The field of plastic waste management is essential for sustainable society that utilizes plastic waste for energy production. Land filing and incineration of plastic waste has large environmental impacts due to GHG emissions. Thus, pyrolysis is considered a low environmental impact process with high value end products. RF thermal plasma technology will help reduce operating […]

This research will measure the effects of the Cycling Without Age program on participants by observing a variety of indicators. An existing program in a long-term care home will be observed, and 50 residents will be recruited: a biking group (n=25) who will be biked twice a week for 12 weeks and a strolls group […]

With the rise in electronic health records, we are seeing more reports of clinician job dissatisfaction that is attributed to the amount of data entry work they are now required to do. Therefore, there is a lot of interest to use a speech recognition system to reduce the burden clinicians have by automating the documentation […]

The project aims to develop the deep learning-based algorithm that translate the image style of specific object to the reference style. Firstly, the proposed research focuses on identifying the accurate region in image for style transfer, and then translating the image style in that region. Current techniques about image style transfer are struggling to focus […]

Simulating the Heating Ventilation and Air-Conditioning (HVAC) system performance in a virtual environment is an integral part of a vehicle development process. Transient system behaviour is captured by modeling refrigerant flow, coolant flow and its interaction with air flow with the use of a one-dimensional tool. In this project, a methodology to integrate the thermal […]

This project will be with Vena Medical that focused on creating a forward viewing imaging microcatheter to provide a real-time navigational perspective for interventional physicians. The Vena Microcatheter will make interventional procedures faster, easier, and safer for both patients and physicians. This project will investigate the novel polymer optical fiber with high flexibility and high-quality […]

The project is to develop a robust shoring design system using Excel software. A shoring system is a group of structural elements used to support/retain earth pressure during the construction of underground structures. Its design is influenced by many variables, such as the intended use of systems, earth pressure selection, performance of different systems, ground […]

Cellulose nanocrystals (CNC), a form of cellulose, shows a lot of promise in the development of sustainable materials thanks to its unique properties such as high performance, large surface area, is readily available, renewable, and biodegradable. Early methods to synthesize CNC have not been very successful. In order to isolate CNC, to make them ready […]

Grasping skill is significant in modern service robot that requires interaction with object under manipulation. Grasping of a new object is a trivial task for human operator while it is challenging for robot manipulators. Inspired by the grasping process of human operators, grasping control algorithms based on the integration of vision, tactile sensing. Deep learning, […]