Development and evaluation of an autonomous UAV-photogrammetry system for metric infrastructure inspection

In this project, we will develop and evaluate an autonomous, unmanned aerial photogrammetry system for metric inspection of hard-to-reach vertical infrastructures, such as telecommunication towers and high-rise buildings. Metric inspection means identifying and measuring the facts that may have an impact on health conditions of assets, such as changes in tower alignment or deformations of […]

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The Opportunity Equation

The Opportunity Equation is a multi-year research project that explores trends, dynamics and causes of income inequality in the Greater Toronto Area (GTA). The project aims to produce a comprehensive portrait of the changing income distribution and income gaps among key socio-demographic groups in the City of Toronto, York Region and the Region of Peel […]

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Safe Harbour for Military, Veteran and Family Health Research Data

The Canadian Institute for Military and Veteran Health Research (CIMVHR), affiliated research partners at universities across Canada, and IBM Canada Ltd. have identified a significant and universal issue facing health researchers that applies to Canadian military, Veteran and family health (MVFH) research and health research for the Canadian population at large. Comprehensive and complete medical […]

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Artistic Voices: An Oral History Community Heritage Project at the Tett Centre for Creativity and Learning, Kingston ON

Using oral history interviews, this collaborative project will document and explore the social history of the efforts made by the Kingston arts community to preserve the historic Morton Brewery and Distillery and to create the Tett Centre for Creativity and Learning, a vibrant community arts hub. Supplemented by archival research, I will interview the artists, […]

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Optimization of CT Coronary Angiography for Vessel and Plaque Analysis

The aim of this grant proposal is to address the challenges with current CT Coronary Angiography (CTCA) utilizat ion with a comprehensive series of interrelated but well-defined research themes. This non-invasive technique has facilitated in the detection of significant coronary artery disease and vulnerable plaque. However, the quality is limited to the physicality of the […]

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A reinforcement learning approach to establishing a Q&A symptom checker to evolve the performance of the visual diagnosis system for dermatological diseases

The partner is creating artificial intelligence which can help diagnose over 1,300 skin conditions with dermatologist-level accuracy. They are focused on building the functionality that is to be deployed through their app and web-interface that makes it possible to snap a photo, ask questions, and get an instant diagnosis. The partner is very focused on […]

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System-Level Performance Analysis of Shared Relaying Architecture withRealistic Channel Modeling

Future wireless networks call for seamless coverage and higher data rates at low infrastructure cost. Cooperative relaying strategies are among the most promising of future technological solutions toward achieving this goal. The proposed research project intends to evaluate the system-level performance of a specific relaying architecture called the shared relaying network. To quantify the benefit […]

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Interoperative Performance Measurement of Surgeons using Deep Learning

Surgery is undoubtedly one of the most important events in a person’s life. It is thus imperative that a feedback system is in place to ensure that proper care is provided to patients during surgery. Currently, such systems involve experienced surgeons watching hours of surgery to determine how well the surgery was performed based on […]

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Open-domain Contextual Conversation Generation

The objective of the project is to design a system that is able to generate context-wise reasonable and meaningful responses to open-domain conversation queries. In open-domain conversation generation, the retrieval-based methods and neural network generative models are two main approaches; there are also some recent research about improving the context consistency of conversation generation. In […]

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Using advanced analytics to develop a multimodal signature of concussion and post-concussive syndrome

Concussions are extremely common in deployment and in military and civilian activities (i.e. sports). Persisting symptoms that make up “post-concussive syndrome” (PCS) including headaches, balance difficulties, depression and anxiety can occur in 10-15% of cases. The diagnosis of concussion and PCS is currently based on a patient’s report of their symptoms and a physical exam. […]

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Instituting Composite Knowledge About Living Architectural Systems

This project seeks to accumulate information on several focused research initiatives, either recently completed or currently being conducted by partners of the Living Architectural Systems (LAS) group, and provide analysis of these with respects to their potential contribution to a paradigm of “living systems” in architecture. This project is embedded in the need to transcend […]

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