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University of Manitoba

Project Leader(s): 

Postdoctoral fellow: Dr. Ali Ashtari, Mechanical and Manufacturing Engineering, University of Manitoba

Lead faculty member: Dr. Eric Bibeau, Mechanical and Manufacturing Engineering, University of Manitoba

Non-academic participants: 

Of the total primary energy consumed in Manitoba, 34% is spent on heating with the majority supplied by imported natural gas while Manitoba has considerable solar and biomass resources. Similar to the use of electricity as an energy carrier to distribute renewable power, investigating the use of water as an energy carrier to distribute renewable heat and cooling is of interest to Manitoba Hydro.

Project Leader(s): 

Postdoctoral fellow: Dr. Ian Jeffrey, Electrical and Computer Engineering, University of Manitoba Lead faculty member: Dr. Joe LoVetri, Electrical and Computer Engineering, University of Manitoba

Non-academic participants: 

Among the core components of Magnetic Resonance Imaging (MRI) systems are the radio frequency (RF) transmitter and receiver coils responsible for acquiring the signals used to create images. Specialized imaging techniques typically include the use of custom RF coils to maximize signal-to-noise ratio and localize the area within the body being imaged. The design of such RF coils requires sophisticated electromagnetic (EM) algorithms that include, for example, the modeling of interface circuitry and cabling used to drive the coils.

Project Leader(s): 

Postdoctoral Fellow: Dr. Daniel Flores-Tapia, Department of the Mathematics, University of Manitoba

Lead faculty member: Dr. Kirill Kopotun, Department of the Mathematics, University of Manitoba

Non-academic participants: 

Breast Microwave Radar is a promising new technology for breast cancer detection. Nevertheless, current image formation methods face issues that limit the use of this technology in clinical scenarios. The goal of this project is to use mathematical modeling and analysis to develop a novel image formation method for breast microwave radar suitable for use in realistic breast imaging settings. This technique will be capable of generating accurate and high contrast images for a specific patient in real time.