Wedge Networks is a leading cybersecurity solution provider in Canada. In this project, we aim to investigate the application of statistical machine learning and deep learning to cyber threat detection, aiming to detect both network intrusions and malware binaries transmitted in the network. Based on the big data collected from Wedge’s system logs and anonymized […]

Upon completion of the project the interns work will allow the partner organization to better understand how inventory management is handled in small businesses. The project will also help understand what inventory levels should be for small businesses based on predictive analytics. With this knowledge the partner organization can better understand how it can help […]

This research initiative aims to develop more accurate mathematical models of human energy metabolism. The company FitMyLife Health Analytics aims to use the models to help its customers establish behaviour patterns to achieve health goals, such as increased fitness, increased health and weight loss. The models ensure that customers’ decisions are rooted in an accurate […]

The aim of the project is to predict future customer demand for repeat-buying items based on available customer purchase records. However, the purchase history for a single customer may not be sufficient to base predictions on. Also, some purchase records might be missing due to sales events at competitors’ locations. Thus, treating each customer as […]

Future wireless networks demands ubiquitous coverage and higher data rates at low infrastructure cost. The novel network deployment where macro base-stations overlaid with low power nodes referred as picocell is the most promising solution towards this goal. The proposed research project intends to evaluate the system-level performance of the picocell wireless network. To quantify the […]

Graphics Processing Units (GPUs) are increasingly used to accelerate applications and to reduce their energy use. GPUs are particularly attractive for mobile platforms, where battery life is important. However, GPUs are hard to use, requiring developers to apply optimizations to their code to realize the performance and energy benefits of GPUs–a tedious and error prone […]

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, […]

Colostrum is the initial secretion from the mammary gland after parturition and it is a crucial source of immunity and nutrition for newborn calves. Because of the placental barrier to immunoglobulin transfer in ruminants, colostrum provides the neonate with immunoglobulins (mainly IgG) essential for passive immunity that plays a key role in the prevention of […]

Cancer will affect 2 in every 5 Canadians in their lifetime, with just over 25% representing new breast cancer diagnoses in women. Despite significant progress in the treatment of the most common cancer in women, resistance to chemotherapeutic agents remains a consistent obstacle in terms of the successful treatment of many types of breast cancers. […]

Agriculture/ Agri-Food Canada (AAFC) and Campbell Scientific Canada (CSC) have been operating an “eddy covariance” (EC) meteorological tower near Lacombe, Alberta that measures the flux of carbon dioxide (CO2) between agricultural fields and the atmosphere. This tower provides data that is used to assess plant growth and decomposition across fields which is critical for understanding […]