Programmable Transport in Hardware

As network speeds reach hundreds of gigabits per second and beyond, there is increasing interest in using programmable Network Interface Cards (NICs) to improve network performance. A key area of focus is accelerating transport protocols, which significantly impact network performance. Transport protocols are continuously re-designed and updated, especially in large-scale networks, to optimize network performance. […]

Read More
Development and validation of an algorithm forsegmentation of the cochlea from medical images

A cochlear implant (CI) is a complex electronic device designed to provide the sensation of sound to profoundly deaf or severely hard-of-hearing individuals. Imaging of the implanted CI electrode would assist manufacturers in verifying the efficacy of their designs and would also provide important information to clinics for programming CIs post-surgery. However, the size and […]

Read More
Enhancing Food Safety and Quality: Implementing Advanced Machine Learning and Data Analytics to Develop Predictive Models for Best-Before Dates

Griffith Foods, a recognized leader in food science and innovation with a rich history in enhancing food safety and quality, is focusing on the project “Enhancing Food Safety and Quality: Implementing Advanced Machine Learning and Data Analytics to Develop Predictive Models for Best-Before Dates” in Canada. This initiative aims to improve the accuracy of best-before […]

Read More
The potential of LCA models to assess the carbon intensity of fuel fractions produced after coprocessing biogenic feedstocks at Parkland’s refinery

In this proposal by assessing the assumptions/data used to impact regulatory credits in programs such as BC-LCFS and the federal CFR, the LCA models will be refined to be more representative. This research will build on past Parkland/MITAC’s supported work which tracked the “green molecules” distribution both within the refinery and in the final fuel […]

Read More
Planning paired-watershed scale biomass boiler ash utilization trials to support bioenergy waste diversion, forest regeneration, and aquatic ecosystem health

Wood ash is the residual from biomass boilers at forest products mills and stand alone energy facilities. In Canada, residual ash is often landfilled, which can be costly and pose environmental risks. However, considering that the components of the ash are derived primarily from soils and trees, and there is increasing interest to return wood […]

Read More
Environmental monitoring, camera data collection and modelling in CEA

Controlled environment agriculture (CEA) is progressing toward innovative solutions specifically with remote monitoring instrumentation and artificial intelligence, can predict and detect physiological plant characteristics that will improve crop yield. The overall objective of this study is to design and build a test growth chamber to evaluate and remotely monitor environmental conditions and plant health. Environmental […]

Read More
Hepatic encephalopathy outpatient quality metrics

Hepatic encephalopathy is a major cause of morbidity and mortality. As an initial part of her thesis, the intern will contribute to determining priorities for the development of an outpatient cirrhosis database inclusive of hepatic encephalopathy quality measures. The findings will be disseminated through the intern’s thesis, peer-reviewed publications, and conference presentations, contributing to the […]

Read More
Stabilisation géochimique des fosses remblayées et ennoyées avec du Bauxsol

Ce projet de recherche porte sur l’étude approfondie des propriétés du Bauxsol™, un produit dérivé de résidus de bauxite, pour améliorer la qualité de l’eau dans les fosses de mines à ciel ouvert. Ces fosses sont généralement remplies d’eau après la fin des activités minières et contiennent des résidus miniers et des stériles susceptibles de […]

Read More
Remote Wireless Charging and Energy Harvesting

The main objective of this project is to offer efficient and commercially viable solutions for wireless power transfer to portable devices such as Recon’s wearable units. The first phase of the research is dedicated to determine pros and cons of various such techniques and the maximum power and distance for wireless power delivery to such […]

Read More
Developing Strategic Approaches to Enhance PVC Recycling: Addressing Additive Complexity and Improving Plastic Waste Stream Management for a Circular Economy

Polyvinyl Chloride (PVC), a widely used plastic, often includes a variety of additives like plasticizers and stabilizers to meet specific performance needs. However, these complex blends complicate recycling, limiting the ability to produce high-quality recycled PVC (rPVC) that meets current regulatory and environmental standards, and having manufacturers incorporate it into production. To address this, Oligomaster […]

Read More
Accelerating Sustainable Product Development in the Plastics Industry: A Machine Learning Approach for Polymer-Additive Interactions

Oligomaster Inc. is developing a Sustainable Product Development Tool that leverages molecular simulation and machine learning to streamline the formulation process for plastic and chemical manufacturers. As industry moves towards sustainable alternatives and faces tighter regulations on certain chemicals, including harmful plasticizers, traditional trial-and-error methods of formulation are no longer efficient or economically viable. This […]

Read More
Development and testing of canine and human positioning devices for phase contrast CT imaging at the Canadian Light Source Synchrotron

The purpose of this research is to develop improved diagnostic and treatment tools for prostate cancer in humans through the use of a canine (dog) model and a synchrotron-based x-ray source for imaging and therapy at the Canadian Light Source (CLS). Novel techniques in synchrotron x-ray imaging, specifically in-line phase contrast CT (PC-CT), will be […]

Read More