Machine Learning to Predict Temporomandibular Disorders Risk from Genotypes

The goal of this project is to develop new machine learning methods and computational strategies to mega-analyze data from well-characterized datasets on chronic pain conditions to develop a genetic predictive tool. This tool will be implemented in an online interactive dashboard and used by the Quebec Pain Research Network (QPRN) community. This collaboration with Plotly […]

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Development of machine learning and artificial intelligence based tools to improve efficiency in financial services

Our interactions with actors in the financial services industry, including our partner company, uncovered that they possess large amounts of data pertaining to investors and markets, but have yet to extract/learn information of significant value from that data such as expected actions by clients. The industry is conscious of this, but while they are making […]

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Development of machine learning and artificial intelligence based tools to improve efficiency in financial services – Year two

Our interactions with actors in the financial services industry, including our partner company, uncovered that they possess large amounts of data pertaining to investors and markets, but have yet to extract/learn information of significant value from that data such as expected actions by clients. The industry is conscious of this, but while they are making […]

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Simeio: Anomaly Detection for Building Automation System

Buildings are an important energy consumer and are equipped with hundreds of sensors and control systems. The analysis of such massive data can reveal insights for building owners to optimize the building infrastructure. Currently, usage of such data is limited to traditional control systems, energy commissioning, and maintenance on a regular basis. Real-time monitoring and […]

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Simeio: Anomaly Detection for Building Automation System – Year two

Buildings are an important energy consumer and are equipped with hundreds of sensors and control systems. The analysis of such massive data can reveal insights for building owners to optimize the building infrastructure. Currently, usage of such data is limited to traditional control systems, energy commissioning, and maintenance on a regular basis. Real-time monitoring and […]

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Optimization of specific Frizzled Receptor-targeted antibodies signalling responses

Therapeutic antibodies have been developed against a variety cancer cell surface proteins. These antibodies activate immune surveillance mechanisms that lead to destruction of cancer cells. Therapeutic antibody efficacy can be enhanced or might have unforeseen detrimental effects due to activation or inhibition of intracellular signaling pathways. Recent evidence suggests that the targeting of subtypes of […]

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Optimization of specific Frizzled Receptor-targeted antibodies signalling responses – Year two

Therapeutic antibodies have been developed against a variety cancer cell surface proteins. These antibodies activate immune surveillance mechanisms that lead to destruction of cancer cells. Therapeutic antibody efficacy can be enhanced or might have unforeseen detrimental effects due to activation or inhibition of intracellular signaling pathways. Recent evidence suggests that the targeting of subtypes of […]

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Analysis and Design of Fast Charging System with Flywheel Energy Storage Platform

This project is aiming at the design and analysis of high-performance fast charging system (FCS) to decrease charging time and reduce the high demand effect in the power grid. Besides, the target fast charging system will support transportation electrification infrastructures, maximize customer satisfaction, reduced operational costs and CO2 emissions. The analysis of the FCS system […]

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