The fellowship mainly investigates an analysis of the state-of-the-art approaches, design and implementation of cutting-edge deep neural network models to be used on a mobile platform. It explored ways to optimize the deployment of these machine-learning models for prediction tasks on the mobile devices which requires energy efficiency and accuracy.

Rapidly increasing amounts of mass spectrometry (MS) data pose new opportunities as well as challenges to existing analysis methods. Novel computational approaches are needed to take advantage of latest breakthroughs in high-performance computing for the large-scale analysis of big data from MS-based proteomics. In this project, we aim to develop new applications of deep learning […]

As a result of recent advances in high-throughput technologies, rapidly increasing amounts of mass spectrometry (MS) data pose new opportunities as well as challenges to existing analysis methods. Novel computational approaches are needed to take advantage of latest breakthroughs in high-performance computing for the large-scale analysis of big data from MS-based proteomics. In this project, […]

Financial markets today are monitored and controlled by artificial intelligent algorithms. Developing these artificial intelligent algorithms requires a large amount of testing against complex patterns and phenomena observed in stock market. The main objective of the proposed project is the development of a market simulator. This is highly challenging and yet promising direction that will […]

Financial markets today are monitored and controlled by machine learning algorithms. The primary objective of this project is to further develop the algorithm for financial market analysis and prediction that the partner possesses at the moment. The algorithm currently demonstrates high accuracy, subject to certain constraints, among which: a small time interval between a prediction […]

Title of the project: Exploring document navigation and interaction on mobile devices Sponsor organization: PDFTron Systems Inc. Intern: (AMY) Xiao-Ming LI Supervisor: Hao (Richard) Zhang School of Computing Science, Simon Fraser University Description: PDFTron Systems Inc. specializes in PDF, SVG, XPS and other graphics technologies. Based on the success of its product – PDFNet SDK […]

The proposed research project focuses on the development of a novel model for the computation of sea ice parameters in near real- time relying on satellite data. The interdisciplinary team will investigate solutions for high performance computing to monitor sea ice and calculate ice parameters with the high spatial resolution. This project includes R&D activities […]

People often find it difficult to motivate themselves to perform activities that are beneficial, such as exercising, adhering to a diet, or educating themselves about their health. In contrast, digital games motivate players for hours at a time. As such, there is increasing interest in serious games that motivate behaviour and retain attention in serious […]

3v Geomatics (3vG) processes tens of thousands of radar satellite images annually to measure ground stability over time. The image processing pipeline demands very high storage and computation resources. The goal of this project is to enhance this pipeline so it can deliver better results faster. First, the project will profile and identify efficiency bottlenecks […]

In this internship we aim to develop an analytics system that targets quick conversion of game data to knowledge that allows game designers to quickly grasp the sources of engagement and disengagement of users while interacting with video games. This proposed system can benefit Blackbird Interactive Inc. by providing a method to tune their designs […]

Medtronic is a global leader in medical technology and biomedical engineering, working towards non-contact vital signs detection. This technology would be especially helpful in the case of high-risk or premature newborns. Continuous or at least frequent monitoring of newborns outside of clinical environments improves quality of life for parents and newborns recently discharged from the […]

Medtronic is a global leader in medical technology and biomedical engineering, working towards non-contact vital signs detection. This technology would be especially helpful in the case of high-risk or premature newborns. Continuous or at least frequent monitoring of newborns outside of clinical environments improves quality of life for parents and newborns recently discharged from the […]