Multimodal Representation Learning for Pregnancy Care

Machine learning for healthcare promises to improve our diagnostic ability, to plot optimal treatment plans, and to smooth clinical operations and lower costs. But, central to these promises is a strong, generalizable numerical representation of a patient’s prior medical history that is reflective of clinical similarity and amenable to modeling. Learning such a representation is […]

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Synchronous Collaboration in Multi-user CAD environments

Advances in cloud computing have enabled the Computer-aided design industry to develop fully-synchronous, collaborative CAD. Synchronous CAD is unique in that it allows multiple users to manipulate the same CAD model at the same time, and saves changes in real time—much like a “Google Docs” document. These new design environments engender real-time collaboration and are touted to be the […]

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Observations of Pedestrian Interactions with Driverless Cars

Automakers are investigating the autonomous vehicle as a replacement for traditional driving, not only to free up drivers from the task of driving, but in conjunction with a transition from owned to shared cars. In this scenario, people need no longer own cars or hire taxi/uber/lyft, but rather will be able to hire an autonomous […]

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Improving quality of life with right hemisphere stroke patient with neglect

The overall objective of our project is to develop a better understanding of the positive effects of prism adaptation in patients with spatial neglect. Remarkable, long-lasting changes have already been found using paper tests; we aim to take this one step further and test for changes in activities that are important in every-day life. We […]

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Non Linear optical studies of diamine based hybrid perovskites

Developing energy efficient materials for new age technology is an area of extreme interest in academics as well industries. Hybrid perovskites are have proved to be rapidly growing to be promising materials in the field of solar cells with efficiencies reaching 23%. The versatile nature, simple synthesis route, tunability, dimensionality effects and other interesting features […]

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Studying Magnetic field structures in ISM scattering screens

Galactic Magnetic Fields (GMF) have always been an intriguing topic to astronomers: they play a big role in star formations, Galactic structures, interstellar medium (ISM) distribution, etc. Therefore, understanding these structures becomes a crucial part to unravel the mystery of our Galaxy. A main signature of magnetic fields is that they can rotate polarized light […]

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Tip-a: A New Carcinogenic Factor of Helicobacter pylori

This research project involves investigating how Helicobacter pylori is causing gastric cancer. We will be investigating proteins which have been shown to target the nucleus and cause a cancerous microenvironment, as well as epithelial-mesenchymal transition cells in their recombinant forms. Currently, there is little known about the effects of these proteins in their endogenous forms. […]

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A Conceptual Aerodynamic Design for a High-Lift Electric Hybrid Airship

Hybrid airships with vertical take-off and landing (VTOL) capability have the potential to drastically simply the commercial transportation system by picking up payload from the pick-up points and delivering it directly to the pre-set destinations. Development of new electric hybrid airship designs for the Canadian and global transport industry will lead to lower shipping costs, […]

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Optimization of group equivariant convolutional networks

The explosion of popularity of deep learning owes a lot to the success of convolutional neural networks, widely used in diverse fields including computer vision and natural language processing. Recently, the group equivariant convolutional neural network (G-CNN) was introduced, where equivariance of symmetries inherent in the data set is built in the architecture of the […]

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Hybrid Testing of an Steel Frame Structure under Earthquakes

Steel structures are commonly considered highly ductile and less sensitive to seismic effects provided that adequate seismic detailing for ensuring sufficient energy dissipating mechanism are guaranteed. However, many existing steel residential framed buildings have been designed before the implementation of modern seismic structural design codes. These buildings show low energy absorption and inadequate dissipation capacity […]

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Advanced Battery Modelling in Electric Bus Platforms to Enable Next-Gen Low-Carbon Public Transit

With the ever-increasing growth of the consumer Electric Vehicle (EV) market and environmental awareness of federal and provincial governments, electrification of public transit systems has come under the spotlight in recent years. Currently, there is limited practical knowledge on how to efficiently deploy EV buses across different Canadian regions, which results in a wide gap […]

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