Data analytics on city 311 information requests

In the current era of big data, huge volumes of a wide variety of data are generated and collected at a rapid rate. Embedded in these big data is implicit, previously unknown and potentially useful knowledge and information. This calls for data science—which use techniques like data mining, machine learning, etc.—for social good. With popularity […]

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Improving the collection performance and reducing the complexity of cyclone systems using a rotary classifier in a dynamic cyclone particle separator

Global pollution emissions contribute to climate change and are damaging to health. In many industrial applications that produce particulate matter, devices such as cyclones are used to separate and capture the particles from the exhaust gas. However, these do not capture the very small, but hazardous, particles and so expensive and energy-intensive secondary systems have […]

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Integrated Logistics Network Design at Hydro-Québec

This partnership project with Hydro-Québec focuses on optimizing the integrated logistics network planning. The Hydro-Québec existing network has a building stock of average 37 years old, and is mainly based on the geographic and demographic needs of the 1980s. This project will adapt the network to the modern needs and prepare it for the future. […]

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Evaluating green roof performance and design in the Toronto area

Green roofs minimize stormwater runoff, building cooling costs, and provide other social, economic, and environmental benefits. Green roofs are also highly-proprietary, with the industry having many components to suite different applications, all influencing green roof survival and performance. With a green roof by-law and construction standard in Toronto, green roof coverage is consistently among the […]

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Development of a noncontact PPG (ncPPG) system for oxygen saturation clinical analysis to increase the data reliability of SpO2 detection through consumer-level cameras

Sterasure Inc. in its current mission to provide biomedical tools to reinvent the clinical decision support, partners with the University of Waterloo to work towards the development of cutting-edge contactless vital sign monitoring systems. The technology studied in this research will allow the advance in the detection of oxygen saturation levels through cost-efficient systems. Although […]

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Using causal probabilistic fuzzy logic (PFL) rules integrated with Deep learning algorithms (DLs) to analyze Electroencephalography (EEGs)

Major Depression Disorder (MDD) is a big problem in our society. About 8% of Canadians may suffer from depressions in their life. Major depression can cause suicide and take families apart. Canadian governments spend more than $51 billion a year in the mental health sector. When treatment with medications fail, mental healthcare professionals, use Electroconvulsive […]

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Developing an Efficient Ensemble Machine Learning Model for Evaluating Construction Project Bidding Quality and Optimal Winning Strategies

PledgX is interested in building a solution that aims to optimize the bidding process to maximize key performance indicators for contactors and vendors. For bidding optimization, several strategies and methods have been proposed; however, with the massive amount of available bidding datasets, the quality and performance of such methods are questionable. Machine learning introduces intelligent […]

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Open Data Guidelines and Policy

The intent of this project is to provide the policy and guidelines in support of the Districts Open Data program. The Open Data Guidelines and Policy will provide a framework for data governance across the organization, in order to improve access to and use of data to empower community decision making. Our objective is to […]

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Stochastic Optimization Approach for the Multi Depot Vehicle Scheduling Problem

Vehicle scheduling is one of the main planning problems for transit agencies. While it is relatively simple to solve in the deterministic and single-depot setting, these assumptions are unrealistic in real-world applications. Specifically, ignoring major sources of uncertainty (such as travel times) and making decisions over average predictions can lead to inferior schedules that incur […]

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Freight consolidation and container loading optimization

This project investigates a complex freight consolidation and loading problem faced by Frontline Carrier Systems Inc., a leading transportation and supply chain provider in North America. Frontline seeks to optimize their transportation costs by minimizing the number of trucks required to ship a set of customer orders within a finite planning horizon. The problem integrates […]

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Ecology and Conservation of Grassland Songbirds in the Waterton Park Front Area

The objective of this project is to establish a long-term study on the ecology of grassland songbirds in the Waterton Park Front Area (just outside of Waterton National Park), Alberta. The student will examine how different grazing regimes and other management actions influence birds. Fieldwork, which will occur from approximately May to July each year, […]

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Optimising Green Rainwater Infrastructure for Rain City Strategy Targets

The City of Vancouver’s Integrated Rainwater Management Plan and Rain City Strategy provides rainwater management targets and design standards for public spaces (streets, public spaces, parks) and private spaces (private property, City-owned property) in the City of Vancouver. To reach these targets, the City has adopted several Green Rainwater Infrastructure (GRI) approaches to achieve the […]

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