To make mining more efficient and environmentally friendly, transportation of rock should be minimized. Ideally we would only transport those rocks that contain economically extractable amounts of minerals. MineSense has developed sensors that can detect the level of minerals in rocks and, in particular, can detect very low levels with high accuracy. This proposal is […]

This project involves the development and implementation of a visualization, analysis and exploration prototype for a parametric CAD tool. The prototype focuses on the design process; that is, the collection of actions taken by designers as they develop solutions. The visualization will allow designers to analyze, understand and make better decisions based on single actions […]

Ensuring efficient and effective disease testing during a pandemic requires the integration and automation of complex, versatile assessment, scheduling, and planning tools. Project ABC, funded by Canada’s Digital Technology Supercluster, will deploy technologies that enable the BC health system to deliver a high volume of COVID-19 tests to the patients who most urgently need them, […]

Ultimately, the goal of this project is to develop an innovative mobile training platform that provides residents and surgeons-in-training introductory exposure to laparoscopy (MIS – minimally-invasive surgery) with improved interactive endoscopic media and Augmented Reality capabilities, than existing mobile applications. As a result, we hope to bridge the gap that exists in training and skillstransfer […]

Greenlight Analytical Inc. has developed a highly sophisticated device for spectrographic analysis of a variety of substances. There are various factors that make the application of this analysis complex. First, the results must be able to be used in high stakes situations (e.g. police inspection of suspected contraband, marijuana growers ensuring a product within narrow […]

Companies must not harm species at risk around their fixed infrastructure and need a way to detect and monitor at risk fish. However, a species at risk cannot be tagged and studied using conventional surgically implanted fish tracking technology. Innovasea is therefore developing a platform to monitor fish using a combination of sensors such as […]

A geospatial query is a question where the concept of location is necessary for formulating the answer. Furthermore, we are not simply interested in spatial relationships, but also with the ways in which people can possibly move through space given the goals that they want to achieve. We therefore want to predict the behaviour of […]

L’utilisation de méthodes d’ensemble, dont l’usage est très répandu, permet souvent d’obtenir des résultats de haute précision mais sont beaucoup plus difficilement interprétable que les modèles d’apprentissage automatique traditionnel (arbres, régressions logistique/linéaire, ect). De plus, les méthodes d’ensemble sont généralement appliquées de façon relativement naïve, avec des méthodes d’agrégations des estimateurs telle que la moyenne […]

Netflix recently released an interactive movie that brings the concept of interactive media from video games into movie form. In contrast to the passive viewing experience with conventional movies, the interaction brings viewers into the movie scenes for an immersive experience. However, existing interactive movies are still scripted. Though there have been proposals towards freeform […]

Smart-city platform developed by B-CITI company stores sensitive information of platform users (citizens) in a database to provide them services. The proposed research project’s aim is to build a system that records each user interaction with the database. The records are immutable and, easily linkable and traceable. The records can be used as forensics evidence […]

This project seeks to develop a fluid solver that is capable of simulating the interaction between low viscosity fluids and solid objects, such as pouring down water from a water pitcher onto the ground. Fluid effects such as splashing water are widely used in video game and film industry. As a visual effect solution provider, […]

The problem of accurately predicting the onset of sustained postoperative atrial fibrillation (AF) in patients undergoing coronary artery bypass grafting (CABG) remains open. Investigators have reported many clinical indices currently associated with postoperative AF following CABG. Contemporary machine learning techniques are well-suited to recognizing underlying trends in ‘training’ data consisting of several labeled examples, and […]