Human activities are linked to mental and physical functions. Critical applications require assurance of human activities to meet target performance and safety measures. The monitoring of human activities is difficult and might not be possible in some situations where brain functions might not be visible and can only be understood by understanding human behavior. The […]

This project is a collaboration between the University of Guelph and the Halton Hills Heritage Foundation for the development of educational programming for the Lucy Maud Montgomery Museum and Literary Centre (LMMMLC). The LMMMLC has the potential to become a social and cultural hub in the Halton Region based in the town of Norval, Ontario. […]

We are at a pivotal time with great opportunity to make positive changes for our planet. The need is urgent as we face the dual crises of climate change and loss of biodiversity. Conserving natural heritage lands is one of the most effective ways to address climate change and provide habitat for some of Ontario’s […]

Home Health Systems has built a sensor and software for Aging In Place monitoring for senior citizens. It supports outpatient care where costs are reduced by 10X and patients get treated at home where they prefer to be. This project will complete the next steps required for Health Canada certification as a class 3 medical […]

Floods are an increasing threat worldwide causing widespread destruction, loss of life, economic damages and social impacts. Contributing factors include population density growth in urban areas and increasing impervious areas which disrupts the natural hydrological cycle. Accurate flood risk assessments are therefore required to help cities and institutions to better prepare inhabitants to the occurrence […]

The abradable rub strip (ARS) material’s main function is to minimize the clearance between blade tips and the fan case, thereby increasing the overall engine efficiency. Under tensile and compressive loading, the abradable material behaves different, and has a significant post-failure compaction under compressive loading. Therefore, its characterization is complex and requires a wide range […]

This project is intended on focusing on the recovery of live music and art events that have been negatively impacted by the affects of the COVID19 pandemic. Enhancing the audience experience is going to be the main focus of Wavelength as they prepare to offer in-person events in spring 2022. The intern will contribute to […]

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 goal of this project is to propose a design of near-zero carbon footprint sustainable community within the designated area. Design constrains will include the available land, target number of housing units, target commercial space, and target emissions of CO2 and effluent water. We will consider as part of the solution: (i) energy efficient buildings, […]

Many overnight workers rely on public transit for commuting to work at night and from work in the morning. However, it is challenging to understand overnight workers’ travel patterns between origins and destinations due to their reverse travel directions compared to traditional daytime workers. This research proposes a methodology to identify the overnight workers’ travel […]

Infrastructures including buildings and bridges show dynamic behaviors due to earthquakes, wind loads, and etc. The excessive dynamic response sometimes leads to structural failure. Therefore, accurate prediction method of the dynamic response for the structures is required to secure the safety the structures. A neural network augmented physics (NNAP) model which is based on deep […]