Automated Runway Occupancy Time Computation Using Multi-Camera Computer Vision Tracking

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 […]

Read More
Optimizing modeling processes though building a AI Digital Twins

Toronto Pearson Airport (operated under the Greater Toronto Airport Authority – GTAA) is Canada’s largest airport in terms of total passenger traffic and North America’s second largest in terms of international traffic. With daily non-stop flights to many of the world’s economies, we move people and goods across the country, the continent and around the […]

Read More
Monitoring the mental health of Canadians

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 […]

Read More
Improving the efficiency of identifying practice ready evidence and generating evidence summaries

EBSCO improves the dissemination of high-quality, clinically relevant content to healthcare providers through DynaMed, their online clinical textbook that is constantly being updated as new research is published. This process includes many experts and has many steps. McMaster University’s Health Information Research Unit’s (HiRU) literature surveillance program filters medical research studies and passes them to […]

Read More
Advanced FLIM-Hyperspectral confocal microscopy

This project aims to develop a high-resolution and high-speed microscope for capturing fast cellular biological interactions and processes. CoVision, a custom microscope instrumentation company, will directly work with the research fellow to develop and build this custom system. This includes designing the commercial grade packaging, sourcing components, and development of the user interface to be […]

Read More
Advancing Vertical-Axis Wind Turbine Design: Development and Optimization

This project focuses on answering a key research question: How can the efficiency and adaptability of wind turbines be improved through the development of smaller, designs that reduce environmental impact, minimize noise, and are suitable for deployment in diverse locations, including rooftops (residential, industrial) or in remote areas?

Read More
Multimodal Evaluation of Microcracks in Concrete Samples Using Contact/Non-Contact Ultrasonics, Infrared Imaging, Computed Tomography Scans, and Electrical Resistivity

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, […]

Read More
A Study of the Ecological Features that Contribute to Misconduct by Registered Early Childhood Educators

This project is a joint collaboration between researchers at Carleton University and the College of Early Childhood Educators (the College). The College oversees the regulation and professional conduct of over 60,000 Registered Early Childhood Educators (RECEs) in Ontario. A major challenge that the College faces is supporting the high quality and professional practice of RECEs, […]

Read More
AI-Driven Ingredient Recognition & Measurement for Meal Planning

MealLens Inc. is developing an AI-driven meal-planning solution designed to help users efficiently manage food ingredients and optimize meal preparation. This project focuses on enhancing the system’s ability to recognize and process ingredient information while improving overall accuracy, user experience, and scalability. The expected outcome is a more intelligent and adaptable platform that will contribute […]

Read More
Optimization of photodynamic inactivation (PDI) compounds for control of plant pathogens in vitro and in vivo

This project aims to develop innovative and effective photodynamic inactivation (PDI) formulations as environmentally friendly biopesticides for managing plant diseases in vegetables, fruits, and ornamental crops grown in field and greenhouse settings. By addressing key challenges such as phytotoxicity and optimizing efficacy, the project is expected to create new agrochemical solutions that expand Nutrien’s product […]

Read More