The goal of the project is to evaluate the effectiveness of video as medium of delivery and consumption of large quantity of digital information. The team will create an automated way to generate videos for properties and rental information so as to reduce costs on manual video creation and build user profiles based on smart […]

The last few years have seen a tremendous increase of the collection and use of LiDAR (Light Detection and Ranging) data for 3D modeling of cities, forest surveys and autonomous driving. In the context of 3D cities, buildings are reconstructed separately, sometimes with the help of aerial images. The accuracy assessment of these 3D models […]

Our industrial partner, LlamaZOO Interactive Inc, publishes the first-of-its-kind digital anatomy study and reference app, EasyAnatomy. For this app, dissecting an animal model and see its internals are important facets of the learning experience. Through our research, we will enhance this experience by designing an interactive 3D visualization of an arbitrarily dissected model, and accelerate […]

This project focuses on using blockchain technology and smart contracts to manage the health care data access. Blockchain is the distributed ledger based on verified transactions, and the smart contract is the programmable part of the blockchain which can automate more complex transactions. Blockchain provides a secure and durable distributed database to store data accesses […]

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 Machine learning for Data Exfiltration on Big Data specifically for network security purposes. This research to […]

Large community hospitals and teaching hospitals in Ontario operate at congestion levels most of the time. This translates into long wait times for the patients, cancelled procedures, undue stress for the clinical staff, and inefficiency in hospital operations. In order to address the bottlenecks in patient flows, decisions are made by the clinical staff based […]

It is known that steel structures exhibit enhanced strength when they experience dynamic loads (e.g. collisions) versus static loads (e.g. bearing loads). A model for this enhanced strength was created by Cowper and Symonds in 1957, however it is currently only applicable to room temperatures. It is the aim of this project to extend the […]

Corporations are under a lot of scrutiny, especially when they annually release their financial reports to the government. If a corporation makes a mistake, or if an employee submits fraudulent information, or if it appears that either is the case, then they risk being asked to amend the filing by the government, which will cause […]

The project is to understand the potential impact of enabling the offline functionalities on progressive web application utilized as e-commerce platforms. For instance, will enabling offline functionalities help increase revenue by providing a more engaging environment when the connection is poor? Traditional evaluation method is to run online controlled experiments by randomly assigning users into […]

By virtualizing all the various appliances in the network, Network Function Virtualization (NFV) became a key enabler for the coming 5G infrastructure and nowadays a major shift is under way bringing an evolution to cloud-native NFV. In the latter operational model, applications are decomposed into microservices running inside containers to enable automated installation, configuration and […]

Influencer marketing is a new and innovative way for brands to target their customers on social media in a highly accurate and trusted way. Brand partners work with hundreds of influencers over a period of time, which is called a campaign, to create marketing material. This marketing material is shared by both the brand and […]

For this project, a data mining, visualization, and modeling technique will be developed and tested specifically for emails, using publicly available datasets. The mining will consist of gathering email and other potentially related datasets and cleaning those datasets. Cleaning will consist of removing duplicate or unnecessary information, as well as labeling data with basic information […]