Quantum Training of Neural Networks

We are witnessing an explosion in the use of machine learning (ML) algorithms with significant impacts on the world’s economic and social activities. The backbone of a machine learning algorithm is a deep neural network which is composed of hundreds to thousands of neurons. To make the neural networks (NNs) functional, they need to be […]

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AI Based Video Assessment of Walking Speed (Gait)

Aging adults want to age in place in their homes to remain in their community of friends, family and activities. This independence for many depends on the support of family care givers such as spouses or adult children that may live separately or work outside the home. The use of ambient sensors in the home […]

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High-throughput linguistic content comparison and sentiment analysis

Scrawlr is a platform for unconstrained, global interaction with all internet content and users. Scrawlr allows for user evaluation and unconstrained classification of any Scrawlr-hosted or non-Scrawlr content. For non-Scrawlr content, this evaluation and classification allowance will be first at the URL level but will subsequently be provided at the individual content component level. Scrawlr […]

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Bioprocessing strategies for enhanced production of heme in Escherichia coli

Ardra Inc. has sustainably produced many high-purity chemicals that are used for various flavor, perfume, and cosmetic applications. Combining industrial/business expertise provided by Ardra with academic/research skills provided by Dr. C. Perry Chou’s lab, we are aiming to effectively produce high-value heme compound using engineered E. coli host organism. Major efforts will be dedicated toward […]

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Opportunities for Sino-Canadian Collaboration in Global Health Governance and Multilateral Pandemic Response

The coronavirus pandemic has elevated global health governance from a “low politics” position in foreign policy practice to an economic and security priority of international importance. Conventional foreign policy approaches to pandemic management have proven ineffective in the time of Covid-19, as states struggle to fulfil public health obligations in an increasingly globalized world. Canada’s […]

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Automated Driver Drowsiness Control Technology Using Artificial Intelligence-based Decision Support System

The main purpose of this project is to develop the methodology to detect and predict driver drowsiness at the early stages using physical and physiological variables. A feasibility test is conducted to evaluate the accuracy and performance of the proposed methodology. The existing databases are leveraged to extract the required data. Signal processing, image processing, […]

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Developing advanced techniques for denoising Low-dose CT Images

Computed Tomography (CT) is one of the most widespread non-invasive imaging modalities in medical diagnostics. Recent concerns regarding radiation induced cancer, has drawn a lot of attention to reduce the radiation dose used during CT scanning. However, the signal to noise ratio of scans taken at lower radiation dose is considerably lower than at higher […]

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The ParticipACTION App: Disability Content Development and Knowledge Translation

The objective of the proposed internship is to help support the launch of disability inclusive content for an app created by ParticipACTION, Canada’s leading non-profit physical activity organization. The goal of the content is to motivate inactive Canadians with a disability to sit less and move more, with the aim of achieving Canada’s Physical Activity […]

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The Literary Economy of Migration in Postcolonial E-fraud Literature

The project examines internet fraud as a practice engaged in by individuals who are economically disadvantaged, are unable to find regular jobs, and are not able to migrate to developed countries where work might be found, often because of border restrictions that exclude them. It proposes to study how literary writers have been thinking about […]

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Development of an isobar separator for anions for accelerator mass spectrometry

Accelerator Mass Spectrometry is a highly sensitive technique for measuring the concentration of certain long-lived isotopes, such as carbon-14. Recently, the use of an ion-gas reaction cell before the accelerator has been shown to enhance this sensitivity, particularly for smaller accelerators, and to extend the application of this technique to more isotopes. Isobarex Corporation has […]

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