Modeling water temperatures in the Fraser River watershed network

Rising river temperatures, partly driven by land-use and climate warming, threaten the future of Fraser River salmon. It is vital that fisheries managers acquire tools that will aid their understanding of how rising river temperatures will impact salmon in the Fraser River. With my industry partner, I will build a novel mathematical temperature model for […]

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Evaluation of Online Urban Futures Survey for Metro Vancouver

This project will expand upon the underlying research conducted with the 2012 Urban Futures Survey of Greater Vancouver. The intern will evaluate a survey that was the third similar survey approximately 20 years apart to inform planning policies in the Metro Vancouver region. The last survey, in 2012, used an online consultation platform instead of […]

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Pay for Performance Intervention Funding

Social impact bonds (SIB) have the potential to fund proven social innovation projects that governments have to date, for a variety of reasons, been reticent to fund. Through a SIB, private investors fund innovative social intervention work that is carried out by a non-profit. If the non-profit achieves certain social outcomes previously agreed upon by […]

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Business Modeling for Fisheries Monitoring at Ecotrust Canada

In the past, Canada’s fisheries have been improperly managed, which has led to overfishing and general downturn of fisheries economics. Because of this, the federal government has mandated that all fisheries be monitored to ensure that the proper regulations and quotas are being followed. Recently, the onus for this monitoring has been transferred to the […]

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Automatic Blind Spot Detection Systemfor an Urban Vehicle

Amidst various causes of car accidents, those which result due to unseen vehicles or objects play an important role. Automatic Blind spot detection system is, therefore, one of the solutions which can improve the safety feature of a vehicle. Moovee Innovations, Inc., our partner company, is developing a light-weight vehicle designed to travel at urban […]

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Evaluating grid modernization pathways, opportunities and emissions impacts

Across Canada, electricity is becoming a scarce resource as there are increasingly urgent calls to electrify fossil fuel loads. Furthermore, even if ample generation is present, the electrical grid will be unable to accommodate the increased demand. This research project will propose and investigate tangible solutions to optimize the power flow and usage within the […]

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High Performance Regular Expression Matching Using Parallel Bit Stream Technology

Regular expressions can be thought of as a mini programming language that has a general pattern notation that allows you to search texts for occurrences of string patterns. Recently, a prototype compiler for regular expressions was introduced that provided a 5x or better performance advantage over its closest competitors. The prototype implemented a novel new […]

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Transfer learning for semantic segmentation of fungal growth images to accelerate high-throughput fungicide development

There is a growing need to develop new crop protection products that are more effective against fungal disease and mitigate pathogen resistance. The fungicide product development process is time consuming and expensive and there is a great opportunity to reduce costs and time by using machine learning. In this project, an existing deep learning algorithm […]

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Optimization of low-temperature carbon electrodes for efficient hole extraction from perovskite absorbers with variable bandgap

The project involves the investigation and optimization of carbon electrodes to achieve efficient perovskite photovoltaic devices for indoor and outdoor applications based on a method that can be used for industrial production. The intern will first study the optimization of carbon electrodes for solar cells, which will involve materials and device engineering. Then, the intern […]

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Programming Techniques for QUBO Compatible Processors II

The main problem this internship project explores is the selection, conversion, and encoding of mathematical models that pertain to the finance industry for processing on available types of analog optimization processors. This research investigation aims to develop new algorithms and code that take advantage of an analog optimization process which acts as an “oracle” for […]

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Data management on future hardware and cloud environments

Data management systems are the backbone of the modern society powering many impactful applications. As data volume and the need for fast data processing continue to grow, it is paramount for data management software to evolve and provide high performance. This in turn must be done by co-designing data management software with the underlying hardware […]

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