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, […]

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 […]

A novel laser surgery method has been recently developed at the University of Toronto based on the excitation of the ultrafast broadband acoustic fields in tissues by means of the picosecond infrared laser (PiRL) pulses. By using sufficient laser power, the propagation of these fields through tissues efficiently creates incisions with minimal collateral damage. Initial […]

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 […]

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 […]

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, […]

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 […]

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 […]

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 […]

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 […]

The aim of this project is to develop a computer-based algorithm that will integrate a planning model with a scheduling model to improve operations management for analytical service facilities. An iterative decomposition algorithm that can provide optimal production scheduling sequences (in acceptable computational times) based on changes in the strategic planning decisions will be provided […]

Plastics are the prime contributor to the global litter crisis. Every second, a quarter tonne of non-degradable plastics enter the world’s oceans. Despite this, petroleum-based plastic production continues to increase, with more than 300 billion kilograms of virgin plastic produced annually. Our team is slightly altering the metabolism of a strain of bacteria to efficiently […]