High-fidelity robotic simulation framework for artificially intelligent medical robot

There is a great need and benefit to integrate artificial intelligence, robotic simulation, and robotics technology into Canada’s medical industry, hospital environment, and healthcare system. Robotic simulation technology, which has been successfully used for space rover missions such as NASA’s Curiosity rover and the Mars Pathfinder and Sojourner mission, provides the ability to create and […]

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Predictive analytics for inventory planning and control

Business Intelligence (BI) describes the analysis of commercial data for optimizing business strategies. SimpleBI is focused on changing the way people use BI. They strive to make BI accessible, affordable, and manageable for every size of organization. With decades of experience specializing in enterprise-level BI solutions using industry-leading tool-sets, plus an intimate familiarity with the […]

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Using Machine Learning to Optimize a Workflow Management System.

Workflow management frameworks support the creation of task dependencies and make efficient use of resources while running those workloads. Typically, these tasks can be long running processes like machine learning algorithms or access data from databases. Workflow management consists of mapping tasks to suitable resources and the management of workflow execution in a cloud environment. […]

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Investigating How Teachers Learn and Customize Digital Classroom Tools

Our proposed research investigates how K-12 teachers learn and customize digital classroom tools and learning management systems and how they share this information with each other. In particular, we will be working with our partner Microsoft to investigate the use and customization of the recently developed OneNote Class Notebooks software that is increasingly being used […]

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Shoppers Persona Analysis: Statistical Learning of Shoppers’ Behaviour

The project is to break down shoppers into different groups. Shoppers have different preferences, for instance some shoppers tend to buy online in the morning, some might prefer purchasing online at night. If one could group together shoppers based on their different shopping behaviours, one would then be able to come up with personalized sales […]

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Insurance Vehicle Damage Claim Price Prediction

The main purpose of the internship is to research and create a product that can be used by insurance companies to streamline their claim processing pipeline. The task is to take images and text provided in an insurance claim and generate a prediction for the cost to repair the damage that is closer to the […]

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Mobile Location Based Insights

Pelmorex (Owner of the brands TheWeatherNetwork and MeteoMedia) operates weather information services accessed by all Canadians on desktop computers, mobile apps and Television. The mobile app is one of the most downloaded and used app in the country in both Apple/Google ecosystem of smart phones/tablets. Continous and accurate location data is collected from the apps […]

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3-D imaging of plants and vegetables

The agriculture industry is a labour intensive industry. Using a reliable method of plant monitoring can greatly help farmers to reduce their labours and consequently their production costs. Creating an accurate 3-D model of each plant or vegetable provides farmers with more information about the growth stage of the plant which helps them to make […]

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Data Science Search Engine Optimization

Search is an important way people get the information they want. Whether we want to find more content about a specific topic, or get general information on a subject, search engines lie at the core of this process. At Flipp, search plays a crucial role in the overall user experience and drives relevant content to […]

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Temporal Framework for Natural Language Processing with Convolutional Networks

In this research, we propose a model learning documents to fixed-length embedding vector space. This is meaningful, because in vector space, we can find similar documents or measure the relations between documents by simple linear algebra calculation. One of state-of-the-art methods is to apply deep Convolutional Neural Network on language sequences and thus learn different […]

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