Talent Mobility for Innovation & Growth: Case of Shanghai

States worldwide compete in an intensifying race for talent, mainly for professionals in Science, Technology, Engineering, and Mathematics (STEM). This project investigates how government and industry actors at the level of technology clusters (Shanghai) are able to use existing regulatory frameworks to attract and retain global STEM talent. Although China has relied on ethnic returnees […]

Read More
Development and evaluation of an autonomous UAV-photogrammetry system for metric infrastructure inspection

In this project, we will develop and evaluate an autonomous, unmanned aerial photogrammetry system for metric inspection of hard-to-reach vertical infrastructures, such as telecommunication towers and high-rise buildings. Metric inspection means identifying and measuring the facts that may have an impact on health conditions of assets, such as changes in tower alignment or deformations of […]

Read More
Up-res Deformation Field Learning for Highly Detailed Data-driven Liquids

The objective of the proposed project is to procedurally increase the visible resolution of a coarse liquid simulation within a machine learning pipeline for the visual effects (VFX) industry. We introduce an optical flow-based learning approach to model the deformations between a coarse input liquid simulation and its equivalent at a higher resolution. The deformation […]

Read More
WP 3.1.2 Next Generation Product Cost Tracking

Ciena would like to drastically improve its ability to track, analyse and forecast the cost of products. Building on experience with the current tool suite and business practices, Ciena aims to develop a next-generation product cost analytics solution that will run on its existing IT infrastructure and allow capture, analysis and modeling of historical as […]

Read More
Commande non linéaire d’un robot parallèle à câbles dédié à la réadaptation des membres inférieurs

L’utilisation de systèmes robotiques en réadaptation médicale présente un certain nombre d’avantages par rapport à la thérapie traditionnelle, tels qu’une bonne répétabilité de mouvement, une assistance contrôlable avec précision pendant les mouvements et des mesures de performance quantifiables. Récemment, une nouvelle classe de systèmes robotiques, appelés robots parallèles à câbles, a été introduite dans le […]

Read More
Théorie PAC-Bayésienne pour l’apprentissage de réseaux de neurones profonds

De nos jours, l’analyse des données est au coeur de plusieurs nouvelles technologies, surtout avec l’arrivée de l’ère du « big data » et l’essor du « deep learning ». En effet, les réseaux de neurones profonds appliqués à des données massives révolutionnent certains domaines comme la vision, le traitement de la langue naturelle et […]

Read More
Talent Migration for Innovation & Growth: Case of Israel

This project examines how technology firms in Tel Aviv and Haifa, Israel attract and retain migrants with skills in science, technology, engineering, and mathematics (STEM). Israel strongly depends on its innovative technology firms; however, there is a growing awareness that Israel’s economy and innovativeness could lose momentum due to job shortages in the STEM sector. […]

Read More
Integrating Digital Design + Prefabrication Processes into Calgary-based Architecture and Design Firms

Many architecture and design firms in Calgary have a strong desire to incorporate parametric software (BIM) and digital manufacturing (CAD-CAM) technologies into their design processes in order to meet evolving client demands, regulatory requirements, and sustainability performance targets. These are necessary criteria that constitute high-quality built environments capable of meeting the needs of multiple stakeholders […]

Read More
Ergo4All : Comment informer et guider les utilisateurs au sujet des risques ergonomiques associés aux postes de travail?

L’objectif de ce projet de recherche est de déterminer la meilleure manière d’informer et de guider les utilisateurs d’un nouveau logiciel de modélisation numérique de l’humain face aux solutions ergonomiques que ce logiciel propose pour qu’ils comprennent ces solutions, se sentent en confiance vis-à-vis de celles-ci et décident de les appliquer plutôt de décider de […]

Read More
Signal processing of EEG for detection and classification ofclinical brain states

measures the brain activity via electrodes placed on the scalp, or in the case of evaluation for epilepsy brain surgery, intracranially. The EEG measures very complex time varying signals from multiple and spatially complicated sources. Clinically, EEG interpretation relies on visual interpretation of signals less than 30 Hz, ignoring the rich motherlode of information from […]

Read More
Application of Cold Spray Coatings for Repair of Aerospace Parts

There are currently no practical-economical repair methods for many aerospace parts made of aluminum/titanium. The Cold Spray technology produces metal coatings by accelerating metal powders onto the substrate to be coated using high velocity jet at supersonic speeds. Upon impact the particles plastically deform and produce a dense coating. Metals such as aluminum/titanium can be […]

Read More
Investigation of erosion/corrosion resistance/mechanisms and heat treatment effects on themechanical and tribolo gical properties of superalloys and their coatings

Superalloys are a group of high-perfornlance alloys which are widely used for high stress, high temperature, and severe wear and erosion/corrosion environments. Erosion and corrosion constitute one of the most challenging problems limiting the service lifetime of superalloys. However, due to the complexity of testing procedures and multiplicity of affecting factors as well as the […]

Read More