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.
Financial markets today are monitored and controlled by artificial intelligent algorithms. Developing these artificial intelligent algorithms requires a large amount of testing against complex patterns and phenomena observed in stock market. The main objective of the proposed project is the development of a market simulator. This is highly challenging and yet promising direction that will allow the partner to test some of its algorithms locally before running them in the live market.
ATB Financial is a large Alberta based full service financial institution. The Card Services department was formed 5 years ago and is growing rapidly. The Card Strategy team within Card Services is developing models and processes to manage marketing campaigns, credit risk management, collections and fraud effectively. The intern will support the team by providing expertise and assistance with model specification and estimation, model validation and management reporting. These duties require advanced knowledge of statistical regression models and their applications.