Mostavio is a Toronto-based aerospace company developing ultralight electric vertical takeoff and landing (eVTOL) aircraft designed for safe, efficient, and sustainable personal air travel. The company focuses on lightweight structures, automation, and human-centered design to make advanced air mobility more accessible. This project explores the use of augmented reality (AR) to improve how pilots and […]

Most technology engages our eyes and ears, rarely our sense of touch. When a phone vibrates or a steering wheel buzzes, the goal is to alert us, not to guide us. Yet in daily life, touch guides our actions. Turning off an alarm in the dark, for example, relies on tactile feedback to find the […]

The proposed project aims to address a critical need for DMT, specifically focusing on the valorization of side streams from furfural production. DMT is currently commissioning a furfural pilot plant and will begin commercial sales soon. However, for the pilot plant to be successful the facility needs to utilize more of the lignocellulosic biomass (miscanthus). […]

This project focuses on the combined quantum computational and experimental investigation of molecular transformation routes in antioxidant systems, specifically BHT-quinone, para-benzoquinone, PAN, and PAN2. These compounds are critical intermediates in the degradation of antioxidants commonly used in lubricants, polymers, and other organic systems exposed to oxidative stress. The study integrates quantum-chemical modeling, including density functional […]

This project develops automated pipelines for processing Raman and UV-Vis spectral data collected during studies of molecular degradation. The focus is on improving reproducibility, accuracy, and efficiency in monitoring antioxidants such as BHT and PAN derivatives. The workflows will perform spectral baseline correction, peak fitting, smoothing, and feature extraction, enabling rapid interpretation of large experimental […]

Wide Field of View (WFOV) cameras can be deployed in the space environment to allow for opportunistic observation of Resident Space Objects (RSOs) for Space Situational Awareness (SSA). This project aims to deploy a WFOV camera in a cubesat, which will increase the observation window compared to the previous near-space and stratospheric missions.

This project explores microwave-assisted thermal treatment as a sustainable method to both degrade organic contaminants and regenerate granular activated carbon (GAC) used in water treatment. The goal is to determine whether high-power microwaves can desorb and break down pollutants from spent GAC while preserving its structure and extending its adsorptive life. A range of micropollutants […]

The City of London plans and manages a multi-modal mobility system to move people and goods in an affordable manner. Affordability is multi-dimensional however, from the private costs of residents, such as fuel and bus fare, to public costs such as road construction and maintenance. In order to meet its commitment to London residents, the […]

Considerable scientific research is oriented towards providing answers to the disturbing effects of the impacts of global change. There is a growing need to introduce new methodologies to explore the often very complex and interconnected chemistry of the atmosphere. This research program aims to advance our current mass spectrometry-based studies on halogenated atmospheric pollutants with […]

This project aims to improve how we monitor the condition of lubricating oils used in engines, turbines, and other critical industrial systems. These oils rely on antioxidants to prevent chemical breakdown. When the antioxidants degrade, it can cause equipment damage, costly downtime, and environmental harm. To address this challenge, researchers at Carleton University, in collaboration […]

Optical satellite imagery used for monitoring the Earth’s dynamic surface is frequently limited by persistent cloud cover. This creates significant data gaps and inconsistencies in daily surface reflectance products. This project aims to advance how we combine optical data with different data modalities that can see through clouds, like active radar and passive microwave data. […]

The interns will first conduct market research to determine the demands of the current life sciences industry, including pharmaceutical companies, gene therapy development companies, and companies that offer transgenic animal models. With this data, the interns will work together using a proprietary machine-learning algorithm from Re:Pair Genomics to design a catalog of 5-10 different compact, […]