There has been a noticeable interest across Canada to deploy new approaches to help address our growing energy needs. Second generation bioethanol production from agricultural and forest residues (named as lignocellulosic biomass), can pave the way for achieving this sustainable bio-economy. Regardless the efforts by ethanol producer companies to develop the technologies of generation of […]

Crop yield is increasingly important for feeding the global population and making Canada a more self-sustaining country. Active AgriScience is a BC based company that is developing novel technologies and formulati,ons for improving yield in many types of crops including canota, wheat, com, barley, and others. One of the key services that !clive AgriScience offers […]

Geostatistical techniques offer a means of mathematically approximating the spatial patterns of geological parameters. The geostatistical interpolation and simulation methods are commonly used for modeling ore bodies. The accuracy of these models has significant impacts on the reliability of mine planning and design. The proposed research project aims to apply advanced machine learning methods, geared […]

The proposed research project aims to develop a multi-modal stethoscope, containing superior digitized heart and lung sounds, telemedicine capabilities and assistive diagnostics. This is achieved by leveraging new advancements in piezo, microphone, wireless and machine learning technologies. The project will investigate these technologies and integrate them into custom made electronics and mechanical designs to achieve […]

CAE Santé a besoin de fournir rapidement des simulateurs médicaux à ses clients et de concevoir des prototypes fonctionnels. L’objectif du stage est de mettre en place un outil d’aide à la décision en intégrant les procédés de fabrication additives afin qu’elle puisse diminuer ces cycles de développement de produit. L’outil permettra d’évaluer les pièces […]

The main objective of this project is to investigate, develop and evaluate state-of-the-art color image/video analysis and machine-learning algorithms, which are suitable for accurate modeling and recognition from large-scale image datasets that are weakly labeled. In particular, we will focus on investigating and developing interactive (partially-supervised) algorithms for annotating massive sets of color images, while […]

Electrospinning technique will be used as a new mixing method to disperse nanofillers into the epoxy base polymer in this project . The single-needle electrospinning scheme has been successfully used in the preparation of nanofilled silicone rubber composites. However,its low volume product has limited the industrial applications,so another electrospinning scheme will be investigated to scale […]

Data centers (DCs) in network softwarization and 5G eras are significantly different from those operated nowadays by public cloud providers. They are massively distributed, closer to end-users, heterogeneous (e.g., multi-access edge, central office as a data center, etc.) and rely on much more complex technologies (e.g., Network Functions Virtualization [NFV] and Software-Defined Networking [SDN]). This […]

Data centers (DCs) in network softwarization and 5G eras are significantly different from those operated nowadays by public cloud providers. They are massively distributed, closer to end-users, heterogeneous (e.g., multi-access edge, central office as a data center, etc.) and rely on much more complex technologies (e.g., Network Functions Virtualization [NFV] and Software-Defined Networking [SDN]). This […]

The objective is to develop the best practices for the determination of manoeuvring coefficients by solving RANS equations. The commercial CFD package, Star-CCM+, will be employed. Results will be used to develop mathematical manoeuvring models. Studies will be carried out for three ships with and without appendages. Various scales will be used to investigate the […]

The project builds upon prior work done by Prof. Katherine Kuchenbecker’s former Ph.D. student Naomi Fitter and current Ph.D. student Mayumi Mohan in the field of human-robot interaction. They investigated ways of using an upper-body humanoid robot (a Rethink Robotics Baxter Research Robot) to play physically interactive games with elderly adults in order to motivate […]

Power systems are becoming more open, stochastic and dynamic nonlinear as the integration of renewable energy sources are keeping increasing. On the other hand, power systems are usually confronted with various weather conditions and fortuitous events that may lead to incidents causing instability of the networks. This research will propose an on-line transient stability prediction […]