Prédiction intelligente des défaillances dans les structures mécaniques et procédés

L’une des orientations majeures de la quatrième révolution industrielle est de rendre intelligents les systèmes de contrôle des structures et des processus industriels, par l’intégration de capteurs au cœur du procédé. L’installation d’un nombre considérable de capteurs à travers les endroits les plus à risque a permis d’obtenir des bases de données, structurées, massives et […]

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Computer-Aided Detection of Kidney Tumors using MRI Images and Deep Learning

Renal cell carcinoma (RCC) is the most common type of kidney cancer, accounting for 3% of all cancers diagnosed in adults. Medical Imaging is essential in diagnosis and treatment of kidney cancers. Magnetic Resonance Imaging (MRI) is now increasingly used in diagnosis and treatment of kidney cancer because of its ability to provide more insights […]

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Development and Prototype of Safe and High-Energy Electric Double-Layer Capacitors – Part 4

Supercapacitors are electrochemical energy storage devices that allow electricity to be stored for later use and play an essential role in utilizing intermit renewable energy. This collaborative project between Dr. Jian Liu’s group at the University of British Columbia (UBC) and Atlas Power Generation, a Vancouver-based clean tech company, will develop a high-energy, safe, and […]

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outil innovant, supportant l’amélioration continuelle, sur le plancher des opérations dans le domaine médical et hospitalier

Ce projet, réalisé en collaboration avec Polytechnique et la société FLEXGROUPS. Le projet MITACS, vise la production d’un outil pour supporter et favoriser les démarches type Kaizen dans les organisations. Il propose de mettre en oeuvre une démarche outillée permettant une gestion simplifiée en utilisant les technologies modernes, de collecte de données (capteurs), d’enregistrements ergonomiques […]

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Development of a textile-based sensor for measuring body fluid

Heart failure (HF) is the third most common reason for hospitalization in Canada, where, the direct health care costs of HF are $2.8 billion. HF affects 600,000 Canadians with median survival of only 1.5 years after diagnosis. HF patients stay longer at hospital. Even after discharge, 1 out of 5 of patients returns to the […]

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Using low-cost, wearable, sensors to detect driver state: Towards development of new algorithms for real-time detection of driver fatigue

Driver drowsiness is one of the leading causes of road-based crashes. Using a driving simulator study, I plan to help with the collection of data on drowsy drivers, analysing drivers’ physiological metrics, such as eye-tracking, heart rate variability and skin conductance, using low-cost consumer grade sensors. Using sensor fusion of the physiological data, I will […]

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Sensor development for in-situ microplastics monitoring in water bodies

Plastics are all around us, and unfortunately, they either do not go through decomposition or take decades to decompose. Consequently, tiny plastic particles, called microplastics, are found in oceans, rivers, and even in drinking water. Living species in the oceans consume them, and these microplastics enter to our food chain and pose significant health concerns […]

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Development of Smart Structural Control System for High-Rise Buildings Along the Coastline to cope with Extreme Loads

Civil infrastructures, particularly high-rise buildings, Along the Coastline are susceptible to damage when subjected to extreme loads like earthquakes, hurricanes, and tsunamis. These loads are associated with the tragic loss of life and high structural repair costs. Current research trends focus on developing design techniques to mitigate the adverse effects earthquakes have on structures. However, […]

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Unilever Canada Collective Intelligence Platform

Research project “Prophet” aims to build a demand forecasting pipeline that collects data and applies machine learning models to make accurate predictions of future demands under unstable scenarios. In particular, this project will focus on efficient forecast of Unilever’s base SKUs and involve model development based on time-series, machine learning and possibly combinations of the […]

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Economical production of polyhydroxyalkanoate (PHA) copolymers from biosolids and/or hemp stems

The objective of the research is to validate and enhance production of polyhydroxyalkanoate (PHA) biopolymers from hemp stems, agricultural waste. Two interns will carry out the proposed work to upcycling hemp stems into the biopolymers with advanced biotechnologies of fermentation and PHA synthesis. The final biopolymers produced from hemp stems will be characterized for physical, […]

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