Brain wave investigation of the neural monitoring measurement stability

Brain wave technologies allow researchers and clinicians to monitor the brain at work. Our team has developed a new technology that uses electroencephalography (EEG) to provide an online record of different brain functions in a very short period of time. The brain waves recorded by this technology may change normally as time passes and we […]

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CADSIM Plus simulator, evolutionary algorithms, rule based expert system, neural network

In industries, chemical processes involve different plants running in parallel with different production rates under the strict constraints on available resources. Therefore, events like shutdown of one or more plants, operating plants with different production grades with flexible run length time, equipment utilization rates of different plants etc. are vital to be studied, scheduled, and […]

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From visual analysis to visual analytics

Visual analytics “the science of analytical reasoning facilitated by interactive visual interfaces” is a new approach to the timely and effective analysis of complex technical and operational systems. Our previous MITACS internships at Aeroinfo applied this scientific approach to mixed-initiative human/computational analysis to improve aircraft safety & reliability analysis and business planning, resulting in changes […]

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Novel Molecule Analysis

NovoBind, in partnership with Dr. Finlay will determined the efficacy of a number of novel molecules capable of neutralizing various pathogens including enterobacteriaceae. These studies will demonstrate the mechanism of action and viability of a new approach to pathogen control. These key assays which characterize the efficacy of our technology in an in-vitro setting will guide their […]

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Improving user engagement with a social network gaming platform: Identifying and adapting to significant user traits and behaviors

This project will involve leveraging existing work completed from a previous MITACS grant, by using statistical modeling and machine learning techniques in order to identify significant player behaviour in terms of the effectiveness of multiple communication/messaging channels. This project aims to build, evaluate, and expand on an existing prototype system already running which has established […]

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Managing Shared State for Video Games in a Networked Multi-core Environment Renewal

Video Games require a vast array of different computations to present the desired experience. These computations must be completed consistently to make the software responsive to the user. The industry trend towards many separate processors (multi-core) in the same physical device and the emergence of network based 'cloud' computing have created many opportunities, but also […]

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Optimal Numerical-Weather-Prediction Parameters for Wind-Power Forecasting

BC Hydro purchases power from four independent wind farms in British Columbia to supplement their hydropower. But wind is not steady, so BC Hydro must compensate for shortfalls or excesses in wind power to provide steady, reliable, economical power to its customers. To achieve this reliability, BC Hydro uses wind forecasts provided by the University […]

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Nurturing Landscapes: Bringing together ecology, education and design in the creation of stormwater management systems on school grounds

This research looks to explore the collaboration of ecology, education and design in the creation of built and natural systems to sustainably manage and educate about storm/rain water on school grounds. The research will be conducted through the analysis of 3 key case studies of schoolyard storm/rain water management projects that represent a successful, progressive […]

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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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Decision Making Using Multi-Criterion DecisionAnalysis

This project is to enable groups of people to better brainstorm decisions in which people can have divergent opinions. Building on ValueCharts that lets people input their utility, we will build a tool that lets decision makers explore the space of the expressed opinion to see where there are differences and whether they matter to […]

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