This work aims to explore software and hardware co-optimization for deep neural network (DNN) inference applications. Once a model is trained to sufficient accuracy, the model is used to make inference or predictions based on this trained model. With increasing performance, more people are using these models for tasks such as translation, self-driving cars and […]

Tendencies towards workaholism have been linked to poor health and increased risk for diabetes and other chronic condition. A health improvement program that is interwoven within the workplace and leverages the ubiquitous use of smartphones has good potential of benefiting the workforce. The aim of this research project is to evaluate Transform, a digital health […]

Ce projet vise à répondre aux besoins des industriels canadiens aérospatiaux d’aujourd’hui, spécialisés dans la fabrication de composantes en matériaux composites. Ces besoins ont été définis avec plusieurs PME et donneurs d’ordres, dont Bombardier Aérostructures et Services d’Ingénierie, Hutchinson Aéronautique et Industrie Canada, SphèreCo, Texonic, Lubricor, Génik et PCM Innovation. Ce projet se concentrera sur […]

The proposed research is a collaboration between Persistant Studios’ PopcornFX and SFU’s iVizLab to collaboratively work on ways to understand the processes involved in content creation using a real-time particle system. The iVizLab’s research focuses on using real-time visuals with the biodata from the users as one of the main interfaces to create affective systems […]

Health disparities arise as a result of long-standing societal disadvantage and discrimination. As machine learning models become more popular in the healthcare sector, understanding of current health disparities becomes even more critical. Without careful management of existing biases, the models can inherit and amplify health disparities, leading to highly undesirable clinical outcomes. This project focuses […]

Based on the user’s geo-location, timestamp and other attributes (eg. time of day, past visit history and app behavior categories, etc.), a machine learning algorithm can be developed to find which cluster the users belong to. Overall, the data of geo-location and timestamp are used to roughly locate the potential clusters. This project will involve […]

Question Answering (QA) system automatically answer questions raised by users in natural languages, and it is a crucial component of a human-machine conversation system. A typical QA system collects human written question-answer groups and structures them in a database system. However, in order to answer questions that are semantically similar to the questions stored in […]

The aim is to understand how fibroblasts, the most common connective tissue in animals, and cancer cells interact with each other through image analysis. These co-culture imaging screens, containing fibroblasts and cancer cells, will help identify novel signaling mechanism involved in cancer. The objective is to apply deep learning techniques to these image-based assays to […]

Currently, mine water treatment systems within the Sydney Coalfield extract and treat mine water from depth with the aim to gradually ‘flush’ the mine pools of its acid-generating products and achieve good water quality over the long-term. However, since the deep, lower quality mine water is always being treated, significant annual operational costs (>$1 million) […]

As the urgency for action against climate change increases, local governments around the world are committing to reducing greenhouse gas emissions through deep decarbonization targets. Cities are the largest place-based sources of GHG emissions and therefore have great potential to reduce emissions on a global scale. In order to reach meaningful reduction levels, transformative change […]

Voltage instability is one of the major causes of many blackouts such as Canada-United State blackout (2003), Sweden-Denmark blackout (2003), India blackout (2012), and Turkey blackout (2015). If reliable methods are available for online voltage stability assessment, operators can be warned and automated corrective actions can be initiated to prevent voltage collapse. Although, a large […]

This research proposal is about investigating and evaluating different technologies in order to ensure the security of a wireless device such as a tablet that is used to play games in retail and/or casino type of environments. In this context security not only includes legitimate users to use the devices and play the games but […]