This research project aims to develop AI based models for predicting visual saliency in gaming videos. Visual saliency refers to identifying the most relevant and important areas in an image or video. This technology has numerous applications, including improving video compression and optimizing the backlight dimming of displays, leading to better user experience and power […]

The overarching goal of the project is to seek insights into how teachers use assessment to gather information about student learning and to inform their instruction, and the challenges that teachers face in consistently implementing these assessments in their classrooms. It aims to explore how technologies can be leveraged to address the challenges and obstacles […]

Spinal fusion surgery and the use of spinal implants to mechanically stabilize the spine have significantly increased over the last decade. Octane has developed a proprietary bioactive spinal implant with active remodeling capacity. The immune response to the implant is an important aspect to determine if the implant has any negative (inflammatory response) or positive […]

This project aims to reexamine the relationship between representative institutions, property rights, and long-run economic growth in preindustrial Europe. We argue that (some) early parliaments contributed to growth not so much by restraining the sovereign from violating his subjects’ property rights as by facilitating the elimination of obsolete, anti-developmental property rights. Through comparative case studies […]

Parents, teachers, administrators, and senior governments all recognize the importance of K-12 Computer Science (CS) education in preparing tomorrow’s citizens for both future job opportunities and social issues caused by information technology. For example, Ontario’s 2020 math curriculum adds both coding and Social-Emotional Learning (SEL). McMaster Start Coding (http://outreach.mcmaster.ca) is one outreach program who has […]

Urbanization processes are taking place in the world, so they need the latest research. Spatial orderliness and organization of urbanization forms changes over time, which determines the peculiarities of regional living conditions, its level and quality. A detailed analysis of urban studies in Ukraine and the world testifies to the completeness, significant scientific and practical […]

Teaching medical students and allied healthcare professionals accurate and patient friendly diagnosis of ear, eye and nasal conditions are challenging tasks due to the lack of realistic models and interaction with patients. The OONTTDP is a collaboration between the Hospital for Sick Children and Otosim to improve the teaching results through development of realistic simulators […]

AI tools based on deep learning has recently been suggested for many complex problems where a large amount of data is available. We will be working similar AI tools but problems from very different domains, namely, airport delay management after disruption and predicting prices of fresh produce under challenging climate conditions. Establishing a recovery flight […]

While there have been several literature reviews on the performance of digital sepsis prediction technologies and clinical decision-support algorithms for adults, there remains a knowledge gap in examining the development of automated technologies for sepsis prediction in children. Pediatric sepsis is a major cause of mortality of children worldwide. However, there is still a lack […]

The goal of this research The system will be designed to intelligently propose redactions for court officers to examine, thereby integrating human oversight with advanced technological capabilities.is to engineer an intuitive and user-friendly system capable of automatically scrutinizing and eradicating confidential information contained within refugee court files in Canada. By leveraging cutting-edge language processing and […]

This research project focuses on improving the analysis of hyperspectral images, which capture images with many narrow spectral bands. Hyperspectral images have many challenges due to their high dimensionality and data redundancy. To overcome these challenges, the researchers aim to develop an advanced intelligent analytics framework for hyperspectral dimension reduction (HDR) using disentangled representation techniques. […]

The main goal of the project is to discover if program analysis approaches can be adapted to the context of Gradle build systems. Thus, during the research it is planned to implement support for Gradle build systems within an existing program analysis toolchain that have been developing at the University of Waterloo. (currently specific to […]