Advancing Fatigue Risk Mitigation with EEG Fatigue-Detection: A Field Study

Fatigue has been acknowledged as a priority issue in human factors contributing to injury in most industries. Of significant concern are drivers operating haulage equipment in the mining industry, who are exposed to monotonous working conditions. This risk exposure might be mitigated if fatigue can be detected and managed. Recent advancements in wearable technologies proport […]

Read More
Investing in Recovery: Strengthening Employer and Policy Roles in Labour Market Integration of Canada’s Immigrant Women in STEM

The goal of our project titled Investing in Recovery: Strengthening Employer and Policy Roles in Labour Market Integration of Canada’s Immigrant Women in STEM will be to produce new research rooted in a power analysis around the specific challenges that Canada’s immigrant women in STEM face, including the perspective of STEM employers on the opportunity […]

Read More
Operator space situation awareness in space object tracking tasks

In the field of space operation and monitoring, there is an increasing need to build space situation awareness (SSA). That is, how well an operator can understand the position and operation of all space objects and satellites. It is critical to organize and present all the data in a proper way to support human understanding […]

Read More
Modeling the Grid Impact of Long Haul Electric Vehicles (LHEVs) in Ontario

Electric Long Haul (LH) Transport Trucks may feature batteries that are 10 or more times the capacity of passenger electric vehicle (EV) batteries. Charging these enormous Trucks could put a major strain on our electric grid. Conversely, these massive batteries could offer valuable services and put power back onto grid at strategic times and places. […]

Read More
How to set up effective incentivization to scale open banking usage in Canada

When making purchases or carrying out daily banking tasks, consumers (individuals and small businesses) generate a stream of information based on their transactions. This financial transaction data is currently held and controlled by individual financial institutions. Open banking is a framework where consumers and businesses can authorize third party financial service providers to access their […]

Read More
Cozy Games and Character-Driven Narratives as an Effective Tool for Pediatric Voice Therapy

This project explores the development of new media and technology to aid speech-language pathologists (SLPs) specializing in voice therapy. Existing vocal therapy resources lack effective game interactivity and compelling character-driven narratives, both of which are known to increase motivation and engagement in learning. Clinicians do not have the expertise or know-how to utilize game mechanisms […]

Read More
Conditional Flow-based Speech-Driven Gesture Synthesis

Speech-driven gesture synthesis is the process of automatically generating relatable and realistic gestures given speech and high-level attributes such as speaker’s style. It is an active research area with applications in video games, animated movies, communicative agents, and human-computer interaction. Commonly, a database of gestures is manually created which are then triggered at different times […]

Read More
Opportunities for Sino-Canadian Collaboration in Global Health Governance and Multilateral Pandemic Response

The coronavirus pandemic has elevated global health governance from a “low politics” position in foreign policy practice to an economic and security priority of international importance. Conventional foreign policy approaches to pandemic management have proven ineffective in the time of Covid-19, as states struggle to fulfil public health obligations in an increasingly globalized world. Canada’s […]

Read More
Developing computation tools for the rational design of cyclic peptide therapeutics

The majority of drugs that enter the market are discovered by screening millions of random chemical compounds until a desired effect is achieved. With the recent explosion in available biological data and raw computing power, it is now possible to develop drugs through bottom-up design rather than trial-and-error testing. Bottom-up drug design has the potential […]

Read More
Anomalous DNS Query Detection Using Machine Learning Approaches

For organizations that use the Internet, their employees will visit thousands of websites every day. However, there is a chance that the destination website is not safe to visit. Such websites may be fraudulent, phishing, or even data-stealing related. On the other hand, determining if the target website link is suspicious or not could help […]

Read More