Modeling of wall-pressure fluctuations induced by pressure gradient turbulent boundary layer

The wall-pressure fluctuations induced by turbulent boundary layers (TBL) can be an important source of noise and vibration in different applications. These fluctuations yield the trailing-edge noise, dominant source of wind turbine or marine propeller noise, and others. A correct modeling of the generated wall-pressure fluctuations is the first issue in analyzing this phenomenon. The […]

Read More
Investigating commercial impact of applied research funding in NB (CONTINUED)

In an atmosphere of dwindling research funding availability, making sure that the limited money is wisely invested is of critical importance. In our study, we propose to investigate how applied research has been funded in NB over the last decade, and how this funding has impacted economic growths. This study will attempt to make a […]

Read More
Development and evaluation of semi-passive biological water treatment processes for water impacted by resource extraction

One of the most vital challenges within the mining and oil sands industries is management of water impacted by resource extraction. Semi-passive biological treatment systems (PTSs) treat water close to the source of contamination and often prevent contamination from occurring in the first place, making them suitable options for management of water impacted by resource […]

Read More
Analysis of the cryptocurrency market microstructure: role of smart order routing

Over the recent years, cryptocurrencies have attracted tremendous amount of attention from both general public and professional investors as a new asset class. However, trading activities of cryptocurrencies are extremely fragmented and unregulated in most of countries around the world. The proposed research project aims to empirically study the microstructure of cryptocurrency exchanges in order […]

Read More
W?SÁNE? Law and Governance: Marine and Terrestrial Management in the Southern Gulf Islands

The proposed research project will explore the question: How can existing mechanisms (National Marine Conservation Area Reserve (NMCAR), Indigenous Protected and Conserved Areas (IPCA), and Management Agreements with Parks Canada in the Southern Gulf Islands (GINPR)) be used to uphold Indigenous W?SÁNE? laws, governance structures, values, and responsibilities within W?SÁNE? territory? Exploring the benefits, limits, […]

Read More
Prototyping and Characterization of TLC Photovoltaics

Solar panel cost has decreased dramatically over the year, but to fully displace fossil fuels from the power sector panels must further decrease in cost, and must increase in efficiency and durability. TLC is a novel solar panel design that combines high efficiency, high durability and low cost. TLC uses three very-low-cost optical stages to […]

Read More
Towards a Theory of Blockchain as a Socio-Informational-Technical System

Blockchains operate as perhaps the most promising system of trust for any type of digital transaction of value — everything from cryptocurrencies to patient medical records. But a number of barriers — involving social institutions, data and identity management and technological processes — stand in the way of broader adoption. These challenges also ultimately speak […]

Read More
Drone hélicoptère de surveillance maritime

Le projet, affilié au projet CRIAQ UAS MaSu mobilise deux PME canadiennes appuyées par deux universités spécialisées en génie, soit l’Université de Sherbrooke et l’École de technologie supérieure, afin de développer plusieurs concepts et technologies dans le domaine des drones maritime. Les partenaires feront la démonstration à la fin du projet d’un système sans pilote […]

Read More
Toward an understanding of how YB-1 regulates drug resistance in glioblastoma multiforme through epigenetic regulation governed by BMI-1.

Glioblastoma (GBM) is the most common and aggressive form of brain cancers and is the second most common cancer in children only behind leukemia. Conventional therapy consists primarily of surgery, radiation, and chemotherapy, and while these approaches have slightly improved the length of patient survival, there remains no cure for this disease. With the emerging […]

Read More
Hybrid and multi-device quantum machine learning models

Over the past 2-3 years, commercial quantum computing hardware has begun to come online. While emerging quantum processing devices (QPUs) are still small and noisy compared to ideal quantum hardware, they are nevertheless expected to demonstrate quantum supremacy soon. During the same period, quantum machine learning (QML) has emerged as a rapidly expanding research field, […]

Read More
Predictive Analytics for Charitable giving

Machine learning in the charitable sector is only beginning to be used successfully. Fundmetric Inc has applied various machine learning algorithms to predict donor behaviour, such as who will become a major ($10,000+) donor and which lapsed donors will return if stewarded correctly. There is ample opportunity for research in this domain, including building a […]

Read More
Intelligent control of space cameras

The intelligent control of space cameras project is concerned with development of the next generation of space cameras. Currently, there is a large gap between the onboard capabilities of standard commercial cameras and those currently in space (examples include image resolution, onboard storage, advanced scene understanding and exposure control). Closing this gap for space camera […]

Read More