AI-based Machine-Learning Trading Algorithms

EquitySoft Investments is a private wealth management firm in Vancouver BC specialized in machine-learning trading algorithms. Our Mitacs internship’s objective is to determine which machine learning system works best under certain financial conditions using our proprietary trading algorithms. EquitySoft benefits from this research by being able to leverage expertise on applied machine learning to AI-based […]

Read More
Extraction automatique d’information pertinente contenue dans des rapports de sites contaminés à l’aide de techniques d’extraction de relations

Les rapports de sites contaminés contiennent une multitude d’informations pertinentes pour les experts en environnement. Ces rapports décrivent les caractéristiques d’un site contaminé et les technologies utilisées pour réhabiliter ce site. L’extraction des informations pertinentes de ces rapports volumineux exige des ressources qualifiées importantes. Ces informations permettent notamment aux experts d’appliquer cette connaissance à de […]

Read More
Network Traffic Classification for Cyber Threat and Malware Detection

Bell’s Cyber Threat Intelligence (CTI) team is collaborating with academic institutions in order to further research and develop cyber security analytics for the protection of critical infrastructure and data. The focus of this research is to create and leverage a traffic classification project specifically for network security purposes. This research to design distributed algorithms fast […]

Read More
Construction of a Genetic Variant Store

This project proposes to explore and implement a method of storing and retrieving data relating to genetic variation across a population of individuals. Due to the large amount of genetic information each person possesses, such a database requires special attention to minimize the amount of data stored and to create efficient methods of accessing the […]

Read More
NLP Techniques for Automated Entity Recognition

The primary goal of this project is to explore a variety of new and existing Natural Language Processing (NLP) techniques to improve the performance, and further the automation of, Knote’s text analysis software – specifically with entity recognition. Entity recognition is the process of identifying all groupings of words in a collection of documents that […]

Read More
Applied Machine Learning for Malware and Network Intrusion Detection

Wedge Networks is a leading cybersecurity solution provider in Canada. In this project, we aim to investigate the application of statistical machine learning and deep learning to cyber threat detection, aiming to detect both network intrusions and malware binaries transmitted in the network. Based on the big data collected from Wedge’s system logs and anonymized […]

Read More
Prediction Improvement on User’s Consumption

The goal of the research is to implement different data mining algorithms in order to improve the prediction on a user’s electricity consumption. The research will be dedicated to improve the existing algorithms or implementing new algorithms for the improvement of the prediction accuracy. Besides application of the prediction algorithms, different data pre-processing methods will […]

Read More
Interactive preference elicitation application for book recommendations

Kobo is an online e-book retailer that provides recommendations for future purchases to its user base. One difficulty that recommendation systems face is what is known as the “cold-user” problem. In this scenario, when we know so little of a user’s preferences (for example, if they are new to the platform), we do not have […]

Read More
Découpe virtuelle interactive de corps élastiques déformables par une méthode de particules

La simulation chirurgicale offre un environnement de pratique sécuritaire pour la formation de nouveaux chirurgiens. De nombreux défis techniques doivent être relevés pour élaborer un environnement virtuel réaliste et utile. Ce projet aborde en particulier la simulation du comportement biomécanique des organes lors de leur interaction avec l’utilisateur, avec une attention particulière apportée au problème […]

Read More
Investigating Distributed Ledgers for IoT and Connected Vehicles

With the fast-moving pace of the auto industry moving to more and more computing units, connected infotainment, pairing of on-board equipment to mobile devices, cloud connectivity, V2V, V2X, and autonomous functions, architects and developers need all the help they can get to address security and safety concerns in the systems. This internship will look at […]

Read More
Machine Learning methods for Nova Scotia property value prediction

This project will develop and apply machine learning techniques to predict the valuation of the properties in Nova Scotia. The techniques will help Property Valuation Services Corporation (PVSC) assessors with more efficiently and accurately valuing properties. The ultimate goal is to help PVSC reduce the number of annual appeals – which is a costly undertaking. […]

Read More
Smart Oceans:Instrumented,Interconnected,Intelligent Systems for Efficient Data Analysis and Querying

Title of the Project: Smart Oceans:Instrumented, Interconnected, Intelligent Systems for Efficient Data Analysis and Querying This project proposes three main objectves. The first two objectives serve to provide a deeper investigation of the problem space while the third objective will build on this investigation by exploring the application of new technologies to this problem domain. […]

Read More