Hybrid Testing of an Steel Frame Structure under Earthquakes

Steel structures are commonly considered highly ductile and less sensitive to seismic effects provided that adequate seismic detailing for ensuring sufficient energy dissipating mechanism are guaranteed. However, many existing steel residential framed buildings have been designed before the implementation of modern seismic structural design codes. These buildings show low energy absorption and inadequate dissipation capacity […]

Read More
The Future of Learning

Today’s technological advancements are changing job requirements and skills expectations at a rapid rate. Businesses are consistently striving to investigate these trends and prepare for upcoming “disruptions.” In terms of job automation, there are many barriers that people experience when trying to access learning platforms such as online learning tools and micro learning sessions, as […]

Read More
Cultivating Ethos in the Tech Sector

The rapid development of technology and its ubiquitous integration with modern society has clarified for business and technology leaders the need for ethical conversations about the role technology can and should play in our lives. By interviewing primary stakeholders in the technology sector and putting their ideas in conversation with literature about the role of […]

Read More
Toronto’s City Diplomacy: Arts, Culture, and Heritage

Our project, Toronto’s City Diplomacy: Arts, Culture, and Heritage, brings together scholars and practitioners in the cultural disciplines to consider how the Greater Toronto and Hamilton Area (GTHA) engages in cultural diplomacy and cultural networks locally and globally. With Hot Docs Canadian International Documentary Festival (Hot Docs) as our non-profit partner, this project examines how […]

Read More
An investigation of Canadian companies’ orientations towards modern slavery and extreme human exploitation in global supply chains

Slave labour continues to be used in business settings around the world and is often linked to society through the supply chains for consumer goods. Yet, the issue of slavery in modern society (“modern slavery”), despite its ties to business settings, has received very little attention in societies around the around. While countries such as […]

Read More
National Smart Vehicle Demonstration and Integration Project

This Mitacs research project will help develop a data collection strategy by identifying key variables such as the kinds of data sets and frequency of collection required. In addition, this Mitacs project will help determine what types of databases are required for data storage and which analytical procedures should be used on the data sets. […]

Read More
Advanced Battery Modelling in Electric Bus Platforms to Enable Next-Gen Low-Carbon Public Transit

With the ever-increasing growth of the consumer Electric Vehicle (EV) market and environmental awareness of federal and provincial governments, electrification of public transit systems has come under the spotlight in recent years. Currently, there is limited practical knowledge on how to efficiently deploy EV buses across different Canadian regions, which results in a wide gap […]

Read More
Delocalization excitation and radiation

This project is to investigate a subtle new mechanism by which particles can be produced. The new mechanism, which has first been proposed by the applicant and her supervisor, is expected to occur for well isolated, small quantum systems, such as single atoms, molecules or ions, which are left to evolve freely. When such quantum […]

Read More
Thermally Compensated Fabry-Perot MEMS Pressure Sensor

Pressure sensing during plastic injection molding is critical to the quality of manufactured consumer and commercial goods and need to be able to operate up to temperatures of 350°C and pressures up to 10,000 psi. In this case, pressure is measured using a membrane to infer displacement and depending on the conditions, the membrane may […]

Read More
Jordan Shapes for Deep Learning

The proposed project aims to develop a systematic approach for improving deep-learning-based computer vision systems by augmenting the local pixel data with the global shape data (more specifically, Jordan curves) and by adjusting system architectures to accommodate the augmented input. Three canonical computer vision problems will be investigated in this project. They are respectively image […]

Read More