Social isolation is a serious public health issue which has many negative effects on quality of life and well-being of individuals. This research project aims to develop and test a Minimally Viable technology platform (MVP) to tackle population-level social isolation. This platform is designed to collect and analyze surveys from the users and detect socially isolated people and identify individuals at risk of isolation in a community using AI and social network analysis techniques.
The proposed project plans to assist in the development of software that is designed to accompany traditional fitness equipment like stationary bicycles. By utilizing game-design elements in the software, in conjunction with the spin bike, our goal is to show improvements in physical exercise, self-regulation, and learning in children. We also plan to take a closer look at the impacts and implications that COVID has had on physical and mental health outcomes and seek to examine the barriers and opportunities that currently exist in today's shifting education sector.
Client risk is one of the major decisions in wealth management. Many of the client risk assessment methods that are used in wealth management are in-house developed on an ad-hoc basis. The objective of this research is to assess the validity and reliability of the risk assessments methods developed by RiskMetrics. This study will be performed by analyzing the validity of the questionnaire and the reliability of the risk assessment result. The questionnaire will be assessed based on expert opinion and published literature.
As the adverse effects of climate change continue to mount in natural fluvial environments, the balance of river channel characteristics (e.g. ecosystem health and biodiversity, water quality, flow turbulence and riverbed geomorphology) becomes increasingly vulnerable. In fluvial environments, erosion and deposition of bed material can pose a significant risk to channel bank stability, riverbed degradation and stability of hydraulic structures. As a result, sediment-related processes in river channels are an area of significant interest to the hydraulic engineer.
This project seeks to understand the impact of translocation on freshwater mussel communities due to river infrastructure works in the Grand River, Ontario, Canada. We will determine the recovery of mussel communities post-translocation, and place them into context with similar translocations from across the region. The work will involve new empirical data on mussel recovery from the initial relocation in 2020 to 3 years post-relocation.
The structural health and performance of existing infrastructure in Canada has a large impact on the Canadian economy and hence, it is imperative that this infrastructure is kept in good operational conditions. A significant portion of this infrastructure was built during the post world war period, which suggests much of this infrastructure has surpassed their service life. Additionally, Canada’s extreme cold weather conditions give rise to adverse loading conditions such as freeze and thaw cycles, which further leads to damage and making this infrastructure more susceptible to failure.
The focus of this project is to measure the historical and current rates of shoreline change around Point Pelee National Park (PPNP) and Peninsula. This information, combined with survey, climate, land use, and statistical data, will provide a better understanding on the primary causes, locations, and timings of significant shoreline change trends observed within the region.
Fisheries are a fundamental contributor to socio-economic growth in northern Canadian communities and are a management priority considering limited alternative economic opportunities available in the region. The proposed research aligns with core research needs of industry/resource managers to meet three objectives: 1.
Novel coronavirus disease 2019 (COVID-19) is an acute respiratory disease induced by SARS-CoV-2. To date >1,000,000 deaths have been reported worldwide. Although testing capacity has expanded, Canada still faces challenges to realizing wider scale testing. A promising alternative to large-scale population testing in Canada may lie literally beneath our feet in our municipal sewer systems. This Mitacs program will measure SARS-CoV-2 viral RNA signal in wastewater system to track the trends in community infections of Windsor-Essex area and expand into London-Middlesex region.
Due to the potential for significant cost-savings, many companies are turning their attention to digital simulations which produce an enormous amount of data. For companies to realize the benefits of having access to this data they need tools that allow efficient and accurate extraction of information from the data set. The goal of this project is to conduct the research required to develop a framework for the implementation of machine learning algorithms to provide engineering predictions for industrial applications.