Reducing Municipal Water Loss and Energy Consumption through Field-based Analytics, Predictive Modelling and Pressure Management

Water loss through background leakage in water distribution systems is increasingly plaguing municipalities. As the cost of energy to treat and transport water steadily rises, and the scarcity of fresh water in communities becomes more prominent, action to replace deteriorating water infrastructure is critical. The proposed research aims at providing water utilities a cost-efficient method […]

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Surveillance and big data on the home front: voice-controlled technology in domestic space

The central research question of this project is: how does the normalization of voice-controlled technology in domestic space change the meanings attached to home? The project will focus specifically on Amazon’s Alexa-enabled smart speakers by analyzing how online discourse surrounding the device and software impacts understandings about traditional domestic values, such as privacy and the […]

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Stochastic analysis of infiltration facilities for storm water control

Infiltration facilities are an effective storm water management practice. The conventional continuous simulation models are widely used in the hydrologic analysis of infiltration facilities in practical engineering practices. However, these continuous simulation models are often time-consuming and data-demanding. The previously proposed analytical probabilistic models can also be used for analyzing hydrologic performance of infiltration facilities, […]

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Refinement of a leadership development impact assessment toolkit

CHLNet identified the need for valid, reliable tools to determine the impact of these health leadership development programs. This project will develop a practical, easy to use toolkit to facilitate the measurement of program outcomes and impacts. The toolkit will be pilot tested and evaluated across the country according to defined selection criteria. The finalized […]

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RBC-Toronto Quantum Key Distribution Network Development

The interns will develop a quantum communication network built on RBC’s optical fiber infrastructure and perform secure commercial transactions using quantum-generated secure keys in the integrated classical communication network. The quantum communication network will be based on the measurement-device-independent quantum key distribution technology, which is developed by Prof. Hoi-Kwong Lo’s and Prof. Li Qian’s groups […]

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Practical recommendations for effective engagement of Canadian Standards Association with Non-governmental Organizations in the standard development process

The proposed research project will explore how CSA can optimally engage NGOs in consensus-based standard development projects. It will culminate in a paper that will itemize ways to increase the effectiveness of NGO involvement by identifying the obstacles to effective participation in CSA standard development, providing practical recommendations on how these obstacles can be reduced […]

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Automatic Approach to Design Efficient Deep Neural Networks

Deep neural networks have demonstrated state-of-the-art modeling accuracy on a wide range of real-life problems, with some cases surpassing human performance. Despite the promise of deep neural networks as an enabling technology for a large number of industries and fields, there are two particular key challenges in the design of deep neural networks in real-world, […]

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Biomechanical modelling of tissue stiffness following exposure to sub-concussive head trauma in collegiate athletes

In this project, we propose integrating well-known neuroimaging algorithms to model axonal integrity of the white matter over the course of a full season, in collegiate football players. Using these findings as a basis for further investigation, we intend to develop a novel imaging processing tool that will integrate information from different neuroimaging methods to […]

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Photonic Quantum Computing for Machine Learning

In the recent years, the advances of machine learning, and more precisely deep learning, have lead to incredible progress in areas such as computer vision, speech recognition and natural language processing. Training algorithms based on deep neural networks can take a huge amount of time and computing resources. The first generation of quantum computers currently […]

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Parenting an adult child with autism spectrum disorder: A qualitative examination of the lived experience

Parenting an adult child with autism spectrum disorder and an intellectual disability (ASD-ID) presents unique challenges, which often leads to parental distress, anxiety, depression, and uncertainty of their child’s future. To date however, there has not been an intimate, authentic account of this parental experience. Moreover, this strength-based approach will provide an important addition to […]

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Framework for Enterprise IT DevSecOps Governance to enable Continuous Security

In today’s business context, companies need to release software quickly in order to remain competitive. This requires internal teams to work closely together from the outset. Unfortunately, security is typically considered only at the very end. This means if any issues are discovered by the security team, it requires extensive rework. Typical responses are to […]

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