The proposed project aims to develop and verify new knowledge, technologies and engineering tools aimed at identifying and mitigating geological hazards encountered on deep cave mining projects. The research will integrate laboratory testing, mine data and advanced computer modelling to better understand the underlying influencing factors. The research will see four interns working closely with […]

L’utilisation d’antibiotiques dans l’alimentation animale permet de promouvoir la croissance des animaux et d’accroître l’efficacité alimentaire, d’où leur utilisation à titre de « facteurs de croissance » et pour la prévention de maladie depuis plusieurs décennies. Toutefois, l’utilisation des antibiotiques comme additifs alimentaires entraine une résistance aux antibiotiques. Dans les nombreuses alternatives disponibles, les phytogéniques […]

Chemical-assisted enhanced oil recovery (EOR) has recently received a great deal of attention as a means of improving the efficiency of oil recovery processes. Since heavy oil production is technically challenging due to its high viscosity and high asphaltene content, therefore, new recovery techniques are often tested and applied in lab-scale. This study will contribute […]

Serpentinites are a type of rock that are reactive with CO2 and convert it to solid minerals that are stable on geologic time scales; this process is known as carbon mineralization. These rocks are often associated with economic mineral deposits in Canada and elsewhere, and mines at these locations can offset, or even have a […]

The laser powder-bed fusion (L-PBF) process is a novel additive manufacturing (AM) technique used to produce metal objects layer-by-layer using a laser source. Aim of this project is to design an optimized heat exchanger with enhanced heat transfer performance with the advantages offered by additive manufacturing (AM) technology such as complex design and lightweight. The […]

Aujourd’hui, le processus actuel de contrôle de la qualité dans les industries alimentaires et de l’électronique imprimée ne répond pas parfaitement aux besoins des industriels. Le plastique, à titre d’exemple, est un contaminant qui est très nuisible et complexe à détecter pour les industriels du secteur alimentaire avec les technologies actuelles. Au cours des deux […]

Wind-tunnel testing allows to verify predicted pressure distributions in various configurations on a specific model. For this verification to be successful, both the model deformation and the air flow needs to be predicted accurately. Modern wings tend to be thinner, thus more flexible and deform more under the loads applied in the wind-tunnel. Current methodologies […]

The industry partner, Metafor is developing a new class of IT system management solution. As part of this project, Metafor is building a product feature that monitors computer and network activities and looks for signs of anomalies. This is an important problem as anomalies are usually associated with abnormal user or system behaviors that can […]

In this project we propose to evaluate the synergistic effects of fatigue and corrosion to further understand the degradation mechanism of the alloys used by our partner. This will help the partner defining their total cost of ownership & develop mitigating corrosion strategies to ensure long term sustainability of their infrastructure. Specifically, we will i) […]

This project investigates whether a user’s entered information in e-commerce sites is fake or real. In order to achieve the goal of understanding and identifying fake users, data are to be collected, managed, and analyzed. In addition to using existing data from the e-commerce partner organization and some third-party data if available, the two major […]

Pour certains types de sols contamines, en particulier dans les cas de contamination mixte, leur encapsulation par stabilisation/solidification au ciment s’avere une approche pratique. L’evolution de l’etude des differentes deformations de ces materiaux est importante autant du point de vue mecanique (par exemple temps de durcissement, evolution des resistances) que du point de vue environnemental […]

This project will develop a loss of balance detection system to enhance the iMD Research Vital Zenzer, which monitors vital user biometrics. Accelerometer signals from both waist and wrist-worn body locations will be analyzed to obtain key inputs for Machine Learning and AI algorithms. Such algorithms will be developed to adapt to changing user conditions […]