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 […]

Perovskite solar cells are a specific type of solar cell that has become popular in recent years due to their low making cost and higher ability to produce electricity from sunlight. My research project aims to train a neural network that can help predict different characteristics of a perovskite solar cell, thus helping to increase […]

Charities and nonprofits provide essential programs and services and improve the quality of life in communities. However, anecdotally we know that accessing consistent, non-burdensome funding to support these activities is a major challenge for many organizations. Ultimately, the funding nonprofits are able to access impacts the individuals and communities they serve in a variety of […]

Aluminum alloys are widely used in many industrial applications, including automobile industries, thanks to their outstanding thermal conductivity, lightweight, and low cost. However, the varied range of metal impurities contained in aluminum alloys from different suppliers makes it difficult to control the quality during manufacturing processes. This problem is exacerbated by the lack of a […]

Today’s automobile is more than a mechanical tool; it contains a myriad of computers, sensors, IoT, and embedded nodes. The embedded system is the heart of a vehicle’s electronic system because of its versatility and flexibility. Furthermore, these systems are becoming increasingly sophisticated and interconnected, both to each other and to the Internet. However, with […]

This proposal aims to examine the potential of laser powder bed fusion additive manufacturing (AM) in producing rare earth magnetic materials and open the door for manufacturing such components via recycled materials. The AM sector is the fastest-growing area within advanced manufacturing and presents a unique opportunity to boost economic profiles at both provincial and […]

3D modeling is crucial for effective left ventricular assist device (LVAD) implantation by providing surgeons with precise, personalized visualizations of the patient’s heart anatomy. The proposed technology will allows for detailed preoperative planning, optimizing the placement of the LVAD within the left ventricle. The accuracy and individualized approach afforded by 3D modeling will contribute to […]