This goal of this project is to develop a business plan for a searchable and interactive neighbourhood website that aggregates information obtained by journalists and other sources. Theoretically, the grad student researcher will explore how to incorporate the philosophy of “failing fast” into the confines of a traditional business plan. To do this, specific case studies will be chosen for analysis.
This study will investigate the process of information technology adoption within the Canadian health care system in order to uncover the underlying promoters and barriers to technology implementation. The knowledge gained from this study will assist McKesson and other health IT companies to adjust their technologies and deployment strategies for effective technology implementation. Ultimately, more effective technology implementation will result in more efficient workflows and health are delivery.
Positron Emission Tomography (PET) images need correction for the loss of photons. This loss, or attenuation, is due to interactions with patient tissues. Corrections are currently done with X-ray Computed Tomography (CT), however we are proposing a method whereby Magnetic Resonance Images (MRI) are used. This will be done by creating an attenuation map(?-map). The construction of ?-maps can be divided into two categories, patient specific ?-maps by MRI segmentation, and registration of a predefined atlas to an MRI.
Christina’s Accelerate project, under the supervision of Dr. Danielle Marceau and Dr. Marco Musiani, developed a computer model to assess the impact of natural resource development on Alberta’s caribou population. With nearly two years of research experience on the project, Christina gained a first-hand understanding of the working climate for resource-extraction companies.
“While I was working on my PhD, that’s what I was focused on. I needed time to foster industry relationships after my PhD, but I was still in an academic mindset. The Elevate program gave me the technical and practical skills to move to the next level.”
And he’s doing just that in the second year of his Mitacs Elevate postdoctoral fellowship. Gurjit is working with partner company Unitron Hearing, in collaboration with the Toronto Rehabilitation Institute and the University of Toronto to make hearing care accessible through the internet.
Financial markets today are monitored and controlled by machine learning algorithms. The primary objective of this project is to further develop the algorithm for financial market analysis and prediction that the partner possesses at the moment. The algorithm currently demonstrates high accuracy, subject to certain constraints, among which: a small time interval between a prediction and the actual event and not highly efficient computation of indicators. In addition, the current algorithm is missing any form of analysis of the dynamics of distances to training clusters.
Crosswell seismic tomography is a geophysical survey method in which the propagation of sound waves through the Earth’s crust is used to infer geological structure. An array of acoustic sources and receivers are placed into two separate boreholes, and full waveform recordings are made of the response to each source, measured at each of the receivers, the objective being a ―cross-section‖ of the geology between the two boreholes. Two attributes are extracted from this survey: i) the measured arrival times, and ii) the frequency domain components of the waveforms.