Crushing and grinding processes are the largest consumers of energy at a mining operation. The High-Pressure Grinding Roll (HPGR) has gained popularity because it is much more energy efficient than conventional processes. The HPGR product is then ground in ball mills to prepare ore for mineral separation. These processes are controlled to optimize their performance […]

The proposed research project to be undertaken is to develop a fully functional online RFP management application that is secure, intuitive, and is well positioned for acceptance and adoption by the biopharma industry, with focus on the Innovator (sponsor) and Provider segments. The expected benefit to the partner organization is the ability to provide a […]

In this project the intern will work with time series data containing different parameters from a flight simulator. The intern will take these data and assess different learning as well as change point detection algorithms that can identify and segment pilot reactions to malfunctions and assign these reactions a proficiency metric. One of the possible […]

In many cities, fleet operators are evaluating the potential environmental benefits of replacing gasoline-fuelled vehicles by alternative vehicles, particularly electric vehicles. In this process, reductions in energy consumption and greenhouse gas emissions can be achieved. In this project, the company HDR proposes to partner with the Transportation and Air Quality (TRAQ) research group at the […]

Analyzing parking behavior and usage in large open-concept retail centers enables owners and managers to better understand how their parking facility is being used. Most large, open-concept shopping centers are experiencing a parking oversupply problem. Current parking allocation is inefficient and contributes to urban sprawl, large concrete pads that trap solar heat and a waste […]

Rural communities and regions throughout Canada struggle with economic restructuring. Influences of globalization and technological advancement contribute to the continually shifting economic reality confronting rural communities. This research focuses on understanding the economic implications of changes in federal policies related to cannabis legalization to rural regions, specifically the Kootenay Region of British Columbia. Through discussions […]

Cancer is one of the leading causes of death worldwide. In Canada, cancer accounts for 30% of all deaths, and half of all Canadians will develop cancer in their lifetime. Many cancers can be prevented or controlled through early detection, but the availability of such tests is scarce and a reliable general biomarker for different […]

An area of exploration that can lead to a critical improvement in the way first responders can better respond to situations (e.g., fires, shootings, etc.) in indoor scenarios is in the development of intelligent indoor mapping systems that provide critical navigation details to the first responders. This enables first responders to not only plan out […]

The objective of the research project that is the subject of this proposal is to simulate autonomous flight for the purpose of risk-based safety assessment using machine learning applications. Simulation methodologies are developed and implemented for the purpose of extracting data from real-time, publicly-accessible sources to create a virtual environment that represents actual airspaces including […]

Breast cancer is the fourth most frequent cancer in Canada, and affects one in X women during their lifetimes. A variety of different treatments have been tried, some of which damage cellular DNA of the quickly growing cancer cells. High-level DNA damage causes cells to die, and can shrink the tumour and arrest cancer growth. […]

The proposed research project is a novel addition to a larger funded trial evaluating a substance misuse intervention program for university students, Univenture, that is being carried out at five universities across Canada. The postdoctoral project is experimental in nature and aimed to investigate whether the personality-targeted psychological intervention for substance misuse also results in […]

The neural network method (NNM) is a relatively new way of solving mathematical problems called partial differential equations (PDEs). PDEs are used as mathematical models for a wide range of phenomena in science, engineering, finance, and elsewhere. Recently, the NNM is receiving attention because several studies have shown that it can solve certain PDE problems […]