A limited number of fully funded fellowships are available. However, Mitacs strongly recommends that you confirm the availability of $5,000 per year from your academic supervisor or university before applying.
Fellowships will be awarded competitively.
People with an amputation at the hip or pelvis have the most difficulty returning to walking because their artificial limb (prosthesis) must replace the hip, knee, and ankle joints. Current prosthetic hip technologies barely meet the person's needs, leaving these amputees with few options. This project will build from current powered prosthetic knee technology (Össur POWER KNEE) to create a new level of prosthetic technology that powers both the hip and knee.
The proposed project would seek to develop a technology and identify adsorbents that are better able to remove impurities such as carbon dioxide (CO2), nitrogen (N2), and oxygen (O2) from biogas (mostly CH4, also referred to as natural gas) produced from landfills, using adsorption technology. Interns will be carrying out adsorbent screening, by determining kinetics and binary and multi-component adsorption behaviour. Promising adsorbents will then be selected and tested under cyclic conditions to determine their life cycle.
Mental health changes over time, even more so than physical health. It is deeply influenced by our relationships with our friends, family, colleagues, and our general environment — making each person’s concerns unique. According to the B.C. Ministry of Mental Health and Addictions, suicide has become the ninth leading cause of death in Canada, with British Columbia holding the highest rate of hospitalization due to mental illness and substance use. Research suggests that the social stigma that surrounds mental health prevents 40 percent of people from seeking proper care.
Carbon capture and sequestration (CCS) technology provides a promising avenue to reduce carbon emissions. CCS works by capturing and storing carbon dioxide preventing it from contributing to climate change. Pressurized Chemical Looping Combustion (PCLC) is a promising next generation CCS technology that use a metal catalyst to react hydrocarbon fuels in an efficient way allowing for cheap and simple capture of carbon. PCLC has been shown at small scales to capture upwards of 90% of carbon dioxide emissions.
The main objective of the project is to upgrade the existing system at Cheetah Networks to make use of Canadian cellular CAT M1 monitored network data to develop innovative QoE analytics that can be used to provide actionable insights. The system will explore applying new techniques to capture in real-time QoE visibility into experiences locally, regionally and nationally. The primary methodologies that we will be employing are based on machine learning and deep learning techniques for data classification, clustering and analysis.
Women are disproportionately affected by neuro-degenerative disorders compared to men. For years, research has attempted to identify why this phenomenon occurs. The answer may be found in the gut. The intestinal tract contains millions of bacteria that are colonized from birth; These bacteria are essential for keeping the brain and immune system healthy. Changes in the proportions of bacterial species during critical periods of development can have lasting impacts on neuro-inflammation and degradation.
Research into child safety applications using Artificial Intelligence (AI) methods is a new area of investigation. SafeToNet is continuing to develop AI monitoring tools together with a team of researchers at the University of Ottawa. These tools, when used over time, will take advantage of outgoing text-based communications from devices to detect the early onset and progression of developmental and mental health issues in youth.
Lead scoring is essential for lead management. The result of lead scoring is a list consists of leads with scores assigned indicating how likely each lead can be converted into the next stage of sales process. The Lamb or Spam and the Rule-Based are the two lead scoring methods that have been discussed in the literature. As various machine learning algorithms and artificial intelligence started to reemerge, predictive lead scoring models seem to be the next promising solution for lead scoring activity.
With the increasing popularity of digital assets such as cryptocurrencies, many financial technology (FinTech) systems have become safety critical. However, current FinTech system development approaches often lack the rigorous safety practices found in the aerospace, nuclear, automotive, and military industries.