Technologies de guides d’ondes pour applications dans les réseaux d’alimentation d’antennes en ondes millimétriques

Le projet consistera à concevoir et analyser un sous-réseau d’antenne qui devra s’intégrer à une grande antenne réseau, formant le cœur d’un radar à synthèse d’ouverture (RSO). Ce RSO sera utilisé sur une satellite à basse orbite et sa mission sera d’obtenir des images de la couverture, et plus spécifiquement de la masse de neige […]

Read More
STRAT: Efficient Expander Data Center Network Architecture

Today, data centers are playing an essential role in the explosion of cloud computing services and the Internet. However, the current architectures of data center networks have not been optimized to transport traffic dynamically. In this project, we will develop a new architecture, which is based on the theoretical concept of Expander graph, for data […]

Read More
Preventive Maintenance for Cable Networks

In this project, we build on these preliminary works and explore the capabilities of different machine learning techniques anomaly detections and predictions of network degradation issues. We also plan to develop ap-proaches to help Cable Network Operation teams triage and diagnose cable network issues efficiently. The results of this project will help Cable Network companies […]

Read More
Portable Device for COVID-19 Nucleic Acid Tests

We have seen the recent surge of COVID-19 because we cannot afford another massive shut-down. A portable and timely detection device for the COVID-19 nucleic test is more desirable. In this proposal, we propose to develop an impedance-based nucleic acid testing device. Our LOC devices are low cost, user friendly alternatives to centralized lab tests. […]

Read More
Using Machine Learning to Predict 30-Day Risk of Hospitalization, Emergency Visit or Death Among Albertans Who Received Opioid Prescriptions

When utilizing and implementing ML for prediction using administrative health data, two key issues are ML algorithm evaluation and generalizability21. Current approaches evaluate model performance by quantifying how closely the prediction made by the model matches known health outcomes. Evaluation metrics include sensitivity, specificity, and positive predictive value, as well as measures such as the […]

Read More
Development of digital technologies for wild blueberry cropping system to lower production costs and increase berry quality

Artificial intelligence coupled with machine vision agrochemical sprayers can replace traditional uniform applications. Novel advancements utilizing high resolution images with deep learning techniques are required to develop new algorithms for advanced real-time automated classification. Fields will be surveyed, and a digital library database of images will be acquired for the major target weeds that are […]

Read More
Intern

Through my work with the Women of Windsor, I hope to inspire more women to become a part of this organization that does a great job of uplifting women all around. It is important, especially in these times, to support each other when we can encourage one another to take on leadership roles in the […]

Read More