Probabilistic based Ultra-low Supply Voltage Noise Tolerant Circuits and Systems Design

As very large scale integrated circuit (VLSI) technology progresses, power consumption and power density of VLSI circuits increase when design complexity and transistor density increase. Low-power design becomes a major design challenge. Lowering the supply voltage is one of the most efficient ways to save power because power consumption is proportional to the square of […]

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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 […]

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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 […]

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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 […]

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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. […]

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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 […]

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