Cities Adapt to Climate Change: Celebrating Local Leadership

The risks of natural hazards in Canada are increasing, and studies have shown many disaster risk reduction projects have benefits greater than their costs. However, municipal climate adaptation projects face limited resources that support implementation. This Project will research and write two books of case studies about successful municipal climate adaptation projects in Canada, extending ICLR’s “Cities Adapt” series.

Impact of Lystek Process Treatment on Co-digestion of Food Wastes and Municipal Wastewater Biosolids

The problem is that currently food waste and municipal wastewater biosolids are produced in abundance, which necessitates a proper treatment rather than disposal to landfills, and increasing CO2 emissions. In this research proposal, the main goal is to enhance both biomethane production and biodegradability of organic solids by applying subsequent Lystek thermo-alkaline hydrolysis technology followed by anaerobic digestion/co-digestion (mixing different organic wastes at different mass ratios) of organic solids such as food waste and municipal wastewater biosolids.

Explorations into the mechanism and potential of the antiviral activity of BOLD-100 as a treatment for COVID-19

BOLD-100 is a promising new drug that initial studies have shown has potent activity against the SARS-CoV-2 (the cause of COVID-19) in cell culture experiments. Before being able to start clinical studies with BOLD-100, additional research into the mechanism of action is required, plus testing the safety and efficacy of BOLD-100 in animal models of COVID-19. The purpose of this project is to utilize a range of cell culture and animal models to test BOLD-100 against COVID-19 to better understand the drug.

Cloud Native Big Data Engineering and Automation

XLScout is a startup engaged in democratizing innovation and connecting research and development with intellectual property (IP) departments across the world. The company is developing proprietary algorithms, using Artificial Intelligence and Machine learning, to mimic the behaviour of an expert searcher.
XLScout hosts a data vault of about 130+ million patent documents which occupies approximately 8TB of storage. Searching such documents is a cumbersome process requiring extensive effort, time and strategies that a novice searcher might not be aware of.

Machine Learning Methods for Behavioural Biometrics- ON-372

The objective of this research is to create a data architecture and a state-of-the-art machine learning algorithms to build a robust user-profile system that (i) extracts, stores, builds, and analyses synchronously up to 1 million user profiles generating at least 50 behavioral data (alpha-numeric value of 64 bytes) per second, (ii) provides over 5 millions user-profile recognitions per day through predictive modeling and REST API call, (iii) authenticates continuously to detect suspicious activities and anomalies without using cookies, location, and hardware information, and (iv) tolerates ef

A Review of Indigenous Early Learning and Child Care Centre Frameworks for the Nshwaasnangong Child Care and Family Centre in the City of London, Canada

The Nshwaasnangong Child Care and Family Centre in partnership with Western University and CityStudio London provide an internship opportunity for a Western University graduate student to research, what the tensions and debates are when establishing an early learning and child care framework from an Indigenous perspective.

Development of Nickel-Rich and Lithium-Rich Layered Cathode Materials for High-Performance All-Solid-State Pouch Cells

This project will aim at developing all-solid-state pouch cells (ASSPCs) based on atomic layer deposition (ALD) derived cathode surface modification, ultrathin solid-state electrolyte sheets (USESs) and flexible electrodes preparation.

Development and Optimization of a Multiple Slice Cardiac Dynamic Contrast Enhanced MRI Method for Monitoring Perfusion within Infarcted Tissue

Each year approximately two out of every 1,000 Canadians experiences a heart attack. These patients are at increased risk for heart failure, a serious condition in which the heart cannot pump enough blood to meet the body’s needs. Heart inflammation that lasts too long following a heart attack may increase the risk of heart failure. The development of an imaging method to monitor this inflammation will help scientists develop and apply therapies. Dr.

Improving the collection performance and reducing the complexity of cyclone systems using a rotary classifier in a dynamic cyclone particle separator

Global pollution emissions contribute to climate change and are damaging to health. In many industrial applications that produce particulate matter, devices such as cyclones are used to separate and capture the particles from the exhaust gas. However, these do not capture the very small, but hazardous, particles and so expensive and energy-intensive secondary systems have to be added to the process. The industrial partner is developing a novel dynamic cyclone separator that has rotating vanes which improve the particle separation efficiency and allow capture of the fine particles.

Integration of Hybrid Distributed Resources in Three Different Systems With and Without Global Adjustment

The use of hybrid distributed energy resources (HDERs) has grown rapidly during the last decade as a way to reduce the stress placed on the utility grid by society’s ever-expanding power consumption. They consist of fossil fuel generators, battery energy storage systems, and renewable energy systems and can be designed to interact with the grid in various system architectures to supply end-user loads. It is important to size and integrate HDERs appropriately so that they can meet load demands, while still being cost-effective.