The proposed project delves into understanding the role of the decision making areas of the brain in street crossing decisions, specifically examining changes that occur in older adults (OA). Age-related changes may impede timely visuomotor integration in OA, potentially increasing the risk of traffic collisions. Utilizing functional near-infrared spectroscopy (fNIRS), a non-invasive neuroimaging technique, the […]

In this project, we study the Unruh-DeWitt (UDW) model, which features a two-level system (an “atom”) coupled to a quantum field. In a previous publication, the UDW model was extended to include a relativistic centre of mass, which was introduced via a first- and second-quantised treatment of the atom’s dynamics. However, an issue with this […]

As Canada advances to a sustainable and prosperous net-zero future by 2050, investment and research into the battery industry can help accelerate progress towards net-zero emissions targets and are a vital resource to support Canadian industry and workers in seizing economic opportunities for next-generation Li-ion batteries. Li metal batteries, as one of the most promising […]

The field of research exploring slippery covalently attached liquid surfaces (SCALS), formed with Polydimethylsiloxane (PDMS) brushes, is fairly new and is proving pivotal in creating economically feasible and non-toxic solutions to resist fouling and prevent ice adhesion. These solutions will contribute to a more sustainable future by lowering the energy expenditure required for optimal efficiency […]

The incidence of dementia, a clinical syndrome marked by progressive cognitive decline, is rising more steadily among Indigenous populations in Canada, mainly due to modifiable risk factors, such as diabetes and physical inactivity. Previous research has found that cultural and social connection and access to healthcare impact the incidence of many of the modifiable risk […]

Smart grid energy systems are considered the future of electrical grid management and delivery. These technologies and programs are innovative ways to ensure a reliable electricity grid, promote renewable energy, increase efficiency, and enhance consumer control. Smart grids operate as automated or computerized systems that centralize electricity grid control and ultimately provide a more resilient […]

Significant demand exists by society for information about how companies are conducting themselves on matters of environmental stewardship, social responsibility, and good corporate governance (ESG). Typically, however, such information is hampered by significant inconsistencies in availability, which hinders access to reliable information. Our goal in this research project is to address these obstacles faced by […]

Next to its essential role of supporting operational and decisional business activities, data also has economic significance. The desire to seek maximum value from their data assets prompts organizations to implement different infrastructures, architectures, governance, and security to facilitate creating and storing huge volume and variety of data. However, these implementations come with challenges as […]

Our novel method enhances low resolution images from surveillance footage and facilitates automatic recognition of license plates. Even if the frames are blurry and unclear, the proposed model can enhance while prioritizing character and text information detection. This will be beneficial to security, law enforcement and investigation agencies.

Ion-exchanged or chemically tempered glass such as Corning’s Gorilla glass was a break-through in the design and production of high toughness glass. However, the pace of improvements brought in by this technology is levelling off. Recently, the industry has turned to another approach to product tough glass: the addition of small crystalline inclusions. However, this […]

Turbulent flows are complex patterns of fluid motion commonly encountered in nature and engineering applications. Turbulence involves various spatial and temporal scales of motion, making it challenging to measure accurately. This project aims to understand the nonlinear, multi-scale dynamics of turbulence. By utilizing an advection-based method, this work proposes a technique to enhance the temporal […]

This Mitacs Globalink Research Award will support a research collaboration involving Imen Hemmedi, a PhD student working in the group of Dr. Nabila Bitri at the Ecole Nationale Supérieure d’Ingénieurs de Tunis and Prof. Jean-Michel Ménard at the University of Ottawa. The project focuses on leveraging the unique properties of quantum materials to explore innovative […]