Sustainable functionalized magnetic particles for efficient treatment of marine oil pollution

Oily wastewater production and discharge from different sources such as industries and daily human activities are the main sources of marine oil pollution. More importantly, accidental oil spills occurred in oil extraction/production, refining, and transportation stages can cause detrimental impacts on the aquatic ecosystems and marine environments. In this Lab2Market project, we apply a special […]

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lnfluence of odour presentation on panelist response variability

Olfactometry is the science of using human subjects to measure odours without bias, as no instrument yet can replace the human nose. Recently, the method presenting odours to panellists has been identified as a potential element affecting response and measurement variability. Furthermore, the sensitivity of electronic noses also developed to measure odours remains an issue. […]

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Design and optimization of low-frequency piezoelectric energy harvesters

Portable electronic applications are typically powered by batteries, which have limited lifespan and size constraints. Energy harvesting from the spatial environment is a promising solution to sustainable power supplies for low-power portable devices and sensor networks. Vibration-based energy harvesting has received much attention due to the recent advances in microfabrication of piezoceramic materials. These smart […]

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Development of an effective process with aid of micro-organisms and fungus for reduction of environmentally destructive effect of spill oil toward ocean ecosystem protection.

The risk of an oil spill in the marine environment always exists during offshore oil production and transportation. The oil spill can affect the marine ecosystem, including seabirds, aquatic organisms and even humans health, both directly and indirectly. The best solution to the oil spill incident is collecting the spilled oil, extracting that from the […]

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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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