This MITACS project between the University of Waterloo (UW, host supervisor: Prof. Na Young Kim) and Yonsei University (YU, home supervisors: Prof. Jong-Souk Yeo and Prof. Chae-Yeun Park) aims to develop a room-temperature exciton-polariton quantum simulator. The room-temperature system can contribute to solving a complex many-body problem, since it does not require cryogenic cooling that […]

This project aims to make assistive robots smarter and easier to use for people with limited mobility. Researchers will develop a new type of control system for a wheelchair-mounted robotic arm that helps users complete everyday tasks like grabbing objects, opening drawers, or pressing buttons. Using advanced artificial intelligence, the system will learn through realistic […]

Vision-language models (VLMs) are considered augmentations of text-only large language models (LLMs) with additional access to the visual world. However, it is known that VLMs typically perform worse than text-only LLMs on reasoning tasks that involve only text (e.g., math word problems), raising the question of whether the benefits of visual augmentation justify the loss […]

Despite numerous system interventions, emergency department (ED) wait times at Waterloo Regional Health Network (WRHN) remain a critical challenge. As part of an Innovation Partnership Procurement by Co-Design initiative led jointly with the University of Waterloo under the CareNext Coalition, WRHN is now engaging vendors and internal stakeholders to co-develop novel interventions that improve patient […]

Haiqu Inc. focuses on building a quantum software stack enabling more efficient development and execution of quantum applications on near-term and early fault tolerant quantum computers. Simulations of quantum chemistry and condensed matter models are one of the primary early uses cases for quantum processors (QPUs), with benefits for chemistry and materials science. Important open […]

This project will train the intern in using artificial intelligence (AI) and computer vision to improve aircraft tracking in airports. Specifically, the intern will work on automating the measurement of the Runway Occupancy Time (ROT) in aircraft, reducing the need for manual tracking and increasing accuracy. The project involves designing a multi-camera system to track […]

The project’s goal is to investigate the use of a 2D reduced graphene oxide (rGO) based microfluidic channel driven electrochemical biosensor to detect AMI biomarkers. The device could be able to identify heart attacks before they happen. Therefore, it may be beneficial to reduce the enormous number of deaths brought on by this illness worldwide. […]

The COVID-19 pandemic had a great impact on the mental health of Canadians. Surprisingly, as of April 2022, self-rated levels of anxiety and depression were comparable to the ones observed during the worst periods of the pandemic, according to data collected by MHRC. Therefore, it is important that we continue to monitor the mental health […]

This research project seeks to develop the Ultrasonic-Electrical Concrete Assessment Method, an innovative approach for early detection of micro-cracks in concrete structures within nuclear power plants. These micro-cracks can compromise the structural integrity of concrete, increasing vulnerability to damage and potentially affecting safety and performance. By integrating advanced technologies—including ultrasonic waves, electrical measurements, thermal imaging, […]

Many organizations feel unsatisfied with the results of leadership training programs. To tackle this problem, this research project explores new ways to make leader training more engaging and effective. Drawing on theories about human motivation and self-views, the project tests three different intentions to improve leader training. The first study investigates whether focusing on personal […]

Waste heat boilers provide an important function in many industries, taking hot process flows and cooling them down while at the same time creating valuable steam which can be used to save power in other parts of the plant. This project will use Computational Multiphysics Simulations (CMS) to model the inner workings of these important […]

In this project, the effective life of advanced Li-ion batteries will be assessed using experimental tools and predictive modeling. Li-ion batteries have emerged as an alternative source of energy on-board cars, i.e., electric vehicles (EVs). Unlike internal combustion engine (ICE) vehicles, EVs suffer from performance degradation over driving and idle time posing limitations on their […]