High-throughput phenotyping of plant health using machine learning and computer vision

Phenotyping is used to develop new strains of plants, understand plant-affecting diseases (phytopathology) and evaluate the effects of various substances on plants. A growing variety of sensors and sensor technology is used to gather data used for phenotyping, in a non-destructive manner, and this overall process of data acquisition and analysis is being automated, leading […]

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Improving Visibility Testing in Terrain Navigation

In this project, the intern will be tasked with improving the visibility testing algorithms in a commercial simulation software product. In the software, a large number of entities (such as military forces or emergency response personnel, including vehicles and people) are moving around on a two-dimensional map. The inter-entity visibility (that is, which entities are […]

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Ransomware Detection through Device and Network Behavior Monitoring

Ransomware consists of malicious software that after infecting a target device prevents the device owner from using effectively the corresponding resources until the demands of the ransomware operator are met usually by paying a ransom, typically using cryptocurrencies. Despite the growing number of ransomware infections, their increasing sophistication, and their significant financial and operational impact, […]

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Étude d’utilisabilité d’un outil de détection de bugs d’affichage dans les sites web

Les sites et les applications web contiennent souvent des bugs d’affichage : boutons mal placés ou non fonctionnels, éléments partiellement cachés par d’autres, etc. Ces bugs peut relever d’un simple problème esthétique, ou, de manière plus sévère, compromettre la fonctionnalité de l’application. Le logiciel Cornipickle, développé par une équipe de chercheurs de l’UQAC, permet de […]

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Interactive Mesh-based Volumetric Visualization

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 […]

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Connecting Healthcare Data with the Blockchain

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 […]

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Predicting and Detecting Data Exfiltration using Machine Learning

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 […]

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Real-time Analytics and Decision Support for Patient Flow Management

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 […]

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