The Government of Canada is in the process of reviewing legislation and procedures related to environmental processes, e.g. the Canadian Environmental Assessment process (CEAA) and the National Energy Board process (NEB). Indigenous groups across Canada have participated in engagement sessions, and made formal written submissions which have been made publically available. This research project will […]

This project aims at evaluating whether recent results in deep learning models, trained to exploit weak labels (Hwang, 2016) can serve to extract meaningful lesion localizations from image-level labels, either from individual scans or given a (longitudinal) sequence thereof. To this end, we will scale up existing models that have been shown to work on […]

The performance of non-precious metal catalysts (NPMCs) for proton exchange membrane fuel cell (PEMFC) has now reached a stage at which they can be considered as possible alternatives to expensive Pt, especially for low power applications. However, despite significant efforts on catalyst development in the past, only limited studies have been performed on NPMC-based electrode […]

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, […]

The project aims to translate developments in ultra-sensitive MRI sensors to a clinically-relevant setting. To create high-sensitivity sensors for better images, we aim to create a tight-fitting system which places the sensors—akin to antennas—closer to the brain. This will improve the quality of the signals that we can extract from the brain, and allow us […]

Yeast are used on a massive scale in many industrial settings, such as production of food and beverages, nutrient supplements, pharmaceuticals, and others, totaling over $5 billion dollars in annual market value. Most yeasts currently used for industrial purposes are taken directly from nature and not optimized for the specific process requirements of industry. Currently, […]

This project will evaluate the Civic Accelerator program in Guelph and research key features of the program. The Civic Accelerator is an innovative approach to economic development, using public sector procurement and challenge competitions to support “civic tech” entrepreneurs, startups, students and companies. This project will support the on-going development of the Civic Accelerator program […]

Building integrated photovoltaic–thermal array (BIPV/T) incorporated within a building structure is a system that combines the roof/facade, photovoltaic cells and thermal collector as an all-in-one product instead of installing each individually. BIPV/T effectively replaces conventional building materials and is more cost-effective than having several separate products, and installation of the BIPV/T system can be implemented […]

This project will focus on researching Cell Broadcast solutions for Machine-to-Machine (M2M) communications (command and control operations). As an alternative to the Internet, Cell Broadcast is expected to offer great advantages to both Utility providers as well as Commercial/Residential HVAC consumers due to its characteristics and it’s broadcasting nature over cellular control channels. Adopting Cell […]

The B vitamin requirements of cattle were traditionally satisfied via rumen microbial synthesis. However, the B vitamin demands of the modern high producing dairy cow now exceed the synthesis rate by rumen microbes, leading to sub-optimal milk production and efficiency. An increased understanding of dietary factors driving ruminal synthesis and use of B vitamins will […]

Recent advancement in computer vision and sensing technology has shown great potential for autonomous vehicles. This work aims to studies using an Augmented Reality heads-up display to improve the reliability of Advanced Driver Assistance Systems (ADAS). The algorithms developed will help drivers detect obstacles e.g. pedestrians crossings, improve current lane departure warnings to allow a […]

This is a research and development (R&D) project. The primary objective is to develop a Smart Learning and Course Management System with a pilot demonstration of an entrepreneurship development course. The target audience for the course is students interested in learning the fundamentals of running a startup company. The secondary objective is to document and […]