Hypatia-Learn: State of the Art Mathematics Learning and Tutoring System

The project revolves around reading and understanding students solution to various mathematical problems. We wish to analyse the work done by students and the solution to these problems and provide math checking capabilities to various types of problems. Furthermore, this project looks to construct a virtual tutor that can analyse students work and provide feedback […]

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Modeling and Optimization of roof based BIPV/T with air source heat pump

Incorporating the Air Source Heat Pump (ASHP) into Building Integrated Photovoltaic/Thermal (BIPV/T) system has the potential to reduce building heating and cooling costs and dependence on non-renewable heating fuels. ASHPs could boost the quality and quantity of heat output of a BIPV/T system by delivering a seasonal Coefficient of Performance (COP) of between 2.0 and […]

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Real-time Bidding Using Contextual Targeting

Ads keep the internet free. But, to keep them from becoming spam and degrading the user’s online experience, they need to be relevant to them. The traditional way the industry does this is by collecting a lot of information about every user and creating profiles that can be used to target users based on their […]

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Autonomous Navigation for Small UAV in Indoor GPS-denied Environments

With the evolution of unmanned aerial vehicles (UAVs) in recent years, more and more researchers are setting their sights on the application research of the indoor environment. Indoor applications include industrial facility inspection, warehouse inventory management, health sector, search, and rescue, among others. However, the use of UAVs in these applications requires continuous high-accuracy positioning […]

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Automated code fix suggestions based on source code syntax tree analysis

AMD manages a very large code base that supports multiple graphics products, operating systems, and customers with multiple releases per year. With a high rate of innovation and corresponding code changes it is a daunting task to ensure a given change works correctly on all applicable configurations for every release. It is therefore imperative to […]

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Identifying Risk Factors for Hazardous Driving and Accident Propensity

Road safety affects everyone, Geotab has several years of driving and environmental data from over 2 million connected vehicles providing the opportunity to make customers safer, as well as our communities and cities. This project will leverage data and existing methods to build a model that can identify causal risk factors for hazardous driving and […]

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Statistical and Ethical Implications of Pimavanserin Drug Trials Published with Unexplained or Missing Datasets on Parkinson’s Disease

This project looks to examine the safety of the medication Pimavanserin, marketed under the brand name Nuplazid. Pimavanserin is prescribed to manage Parkinson’s Disease Psychosis, a common side effect of Parkinson Disease medications. This medication has already received regulatory approval in the United Stated by the Food and Drug Administration under a special program called […]

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Visual Semantic SLAM using Bottlenose Camera System

Simultaneous Localization and Mapping (SLAM) is useful in multiple applications such as autonomous driving, augmented reality, and surveillance. Visual SLAM is a popular and widely used SLAM technique due to simplicity of the sensor network. Semantics and machine learning are used widely in recent research to achieve better robust real time SLAM performance. Hardware acceleration […]

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Multi-modal machine learning for business-critical insights in video conversations

The team is building a machine learning platform and solution to extract meeting insights from online meetings. Meeting insights denote moments from these meetings that may impact the company’s future product features, revenue, and customer satisfaction. This platform is driven by the market created by the widespread adoption of online virtual meetings as the main […]

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Towards Development of a Decision Making Tool for Owners, Designers and Municipalities: Surveying Current Domestic Water Conservation Technologies and Tools for Single Family Residential Dwellings

The proposed project will survey “best-in-class” decentralized water conservation technologies and approaches such as rainwater harvesting systems and greywater recycling systems for use in single family residential dwellings in Canada. The proposed project will also survey all tools and resources provided by water conservation authorities such as CMHC to homeowners, building designers and municipalities. The […]

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Automatic Machine Learning for Recommender Systems

Crossings Minds provides machine learning-based recommendation systems that allow companies to integrate their data and easily obtain on-demand personalized recommendations for their users. Currently, onboarding a new customer requires significant work on the behalf of Crossing Minds engineers to create and polish a machine learning model for that specific customer. The research project will explore […]

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Mobile Electroencephalography and Mobility in Parkinson’s Disease

Attention, an important aspect of human cognition, is needed for safe mobility and navigation through the environment. With age, the ability to move and navigate through the world requires greater cognitive resources. Previous brain imaging research has shown that mobility impairments are associated with reduced attention. However, previous work was limited to assessing attention while […]

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