In this project, we will collaborate with Actenum our industry partner tackle the challenges of online analytics processing (OLAP) queries on in-memory databases that are updated frequently. Specifically, we will address the technical research issues about how to conduct effective and efficient OLAP on frequently updated data stored in a large in-memory database, and retain […]

Smart, battery-powered connected objects that communicate wirelessly are proliferating. Wireless communication can be challenging with multiple types of impairments that may cause errors in the exchanged messages, e.g., noise, interference, attenuation, and multipath propagation. Ultra-wideband (UWB) radios have emerged as a interesting choice for such operational context. Their distinctive attributes lead low power requisites and […]

This research aims to enhance the 3-Prong Approach to Psychedelic-assisted Therapy (PAT) Learning System hosted between Vancouver Island University’s (VIU) and Roots to Thrive (RTT) PAT service delivery. The program consists of four parallel research programs, each led by one of the interns, that will benefit the partner organization to: 1) Design a quality system […]

Le recyclage des 4 millions de tonnes de déchets plastiques post-consommation produits chaque année est quasi-inexistant au Canada. Alors que les centres de traitement intermunicipaux sont capables de trier ces déchets, ils finissent en très grande partie enfouis faute de solution technique de recyclage mature et compétitive. L’ÉTS et ses partenaires souhaite créer un débouché […]

A new artificial intelligence based markerless motion capture technology could improve care children with difficulty walking. Marker-based gait assessments are often used to help make decisions about treatments. We will explore if this new markerless approach works in kids and specifically if it works in kids with difficulty walking. We will determine if this approach […]

This project centers around what we refer to as “ultra casual” games with the goal of discovering more efficient ways to develop engaging casual video games. The industry partner Victory Square Games has partnered with Microsoft to develop 20 games for the Windows tablet to further expand their Windows 8 app library. The associated internship […]

Canada’s rapidly ageing population has drawn attention to the housing and care needs of older adults. Supporting older Canadians to age in the right place will require innovative housing models and infrastructure that can support their independence, safety, health and social well- being. One such model is Naturally Occurring Retirement Communities (NORCs), which integrate health, […]

This project will develop data-driven models for production performance analysis and optimization for solvent-assisted bitumen recovery operations and related processes. Effective operations of solvent processes are crucial for reducing GHG emissions associated with bitumen extraction processes. Although the recent developments in digital oilfield technologies have enabled real-time surveillance of downhole operating conditions and production data, […]

Microwave Imaging (MWI) is an emerging modality where the goal is to estimate the electrical properties of an object-of-interest. This is done by transmitting a microwave signal into the OI and collecting measurements outside the OI. The measurements are inputs to an optimization algorithm that solves for the unknown electrical properties. It has been proven […]

Quantitative performance analysis of boxing bouts is presently limited by the time it takes to manually process video footage, as well as the expertise that is required. We propose to develop an automatic performance analysis and action classification system for boxing sparring and competition bouts that is based on a computer vision action recognition pipeline. […]

Using fossil fuels in building heating systems is greenhouse gas (GHG) intensive, leading to global warming. Ground-source heat pumps (GSHPs) are cleaner electric alternatives to fossil fuel systems. They utilize and transport heat from the ground to warm buildings. However, prolonged use of GSHPs can lead to a phenomenon known as thermal imbalance, which depletes […]

This project will investigate machine learning methods to organize and discover the vast literature on biomedical science. First, it will focus on named entity recognition–the task of finding and classifying entities in text documents–on large collections of abstracts and full-text of research papers and investigate semi-supervised learning methods to leverage large collections of unlabeled research […]