Geotechnical performance of field-scale cross-laminated timber basement walls in cohesive soils

Basement walls are traditionally built with reinforced concrete in Canada. However, concrete may not perform adequately in the long term and concrete has a huge carbon footprint – more than 8% of global man-made CO2 emission comes from the cement industry. The research project is aimed at timber panel walls, a sustainable material, to replace traditional concrete in the basement construction. The research will primarily be carried out on an existing large-scale experimental timber basement wall on the university campus.

Design of modular soil sensor for batteryless IoT application

The rapid growth in population and environmental concerns, demands for efficient energy production, precision agriculture, and effective system monitoring. Soil, air, and water ecosystems are the most critical natural resources that if not properly maintained, will have a direct impact on agriculture and human lives. Efficient energy production and smart agriculture are essential to fulfill the increasing human needs and to protect the surrounding environment by using a more advanced type of sensor technology.

Assessing Regional Extrathoracic Drug Deposition for Pressurized Metered-Dose Inhalers

Pressurized metered-dose inhalers (pMDIs) are widely used to deliver drugs to the lungs for treatment of respiratory diseases. However, targeting delivery of inhaled drugs to the lungs is not straightforward. The airways of the mouth and throat present a barrier through which inhaled particles must penetrate in order to reach their target sites in the lungs.

An Application of Machine Learning to Mortgage Prepayment Modeling

The business partner is interested in expanding its understanding of prepayment. Specifically the goal is to predict prepayment risk for mortgages as a function of mortgagors’ characteristics (including data from previous interactions with the bank), and the local economy. In recent years, with the improvement in efficient computing and data storage, the relying on a wide range of mortgagors’ characteristics to predict prepayment risk has become more prevalent in the industry.

Banks and Their Debtors: Evidence from Credit Bureau Data

This project will allow the Postdoctoral Fellow to undertake important research, by accessing highly confidential Credit Bureau data in the possession of the Bank of Canada. The Postdoctoral Fellow will examine various issues which have important academic as well as policy implications. For example, the Postdoctoral Fellow will examine whether the characteristics of the customers of a specific bank branch (e.g. aggregate profitability or risk) impact the decision of a bank to close that branch.

Understanding Energy Use in Comminution

This project will be used to assist the mining industry in predicting the best possible practices for designing and operating mines. By developing an understand of how comminution tests represent the machinery we can predict what is required to breakdown the raw rocks from the ground into valuable products we can make mining both more economical and more environmentally sustainable.

Test-based Fracture Criteria for Pipeline Steels

Steel pipelines as key Canadian infrastructure are often exposed to various geological and environmental conditions that cause defects such as cracks, dents, and gouges in the pipe wall, which can lead to pipe fracture in pipelines, compromising the entire pipeline's functionality and resulting in significant economic losses, environmental issues or even fatalities. There are several methods to predict the fracture capacity, including experimental testing, analytical approaches, and advanced numerical methods.

Hamlet of Pangnirtung Community Socio-Economic Framework Planning and Development

The Hamlet of Pangnirtung is exploring ways to improve the socio-economic development within the community. In preparation, and with the help of two Mitacs interns, the community would like to research various economic development models, the legal and social requirements for business development, existing local businesses, and explore other northern community socio-economic models, both in northern Canada and internationally.

Statistical methods for data generated by biotechnologies

Rapid advancements in biotechnologies made possible novel studies to tackle chronic diseases such as breast cancer, or provide new insights into the role played by gut bacteria in a variety of chronic conditions. Data generated by biotechnologies comes with many analytical challenges: high number of candidate biomarkers measured compared to the number of patients, correlations across biomarkers leading to computational challenges. Computationally efficient and powerful quantitative methods addressing the complexity of new data are needed.

Microporous polymeric coatings for Li-ion battery electrodes

Lithium-ion batteries (LIBs) are commonly used for electric cars and portable electronic devices. In order to make these devices cheaper, lighter and more accessible, high capacity LIBs are needed. Lithium or silicon are ideal materials for LIBs due to their high specific capacity. However, they cannot be used to substitute the graphite anode in the current commercial LIBs due to the stability issue related to the lithium dendrites growth and the extreme volume change.