Semantic 3D mapping and localization of intelligent drones in indoor environments

The objective of this project is to develop intelligent algorithms and machine learning models to enable semantic 3D mapping and localization of intelligent drones, allowing them to autonomously navigate complex indoor environments. The project will collaborate with SOTI Aerospace to establish a research and development team focused on advancing aerial technology for the next generation. […]

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Understanding the Barriers and Opportunities of the Latin Music Community in Canada

The artists and industry professionals that comprise Canada’s Latin music community are a dynamic and diverse group. Even though members of this group have made significant contributions to Canada’s cultural landscape, few studies have been conducted to investigate the challenges and requirements of this community. This proposal aims to address this deficiency by conducting a […]

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Blood and Nasal Biomarkers of Cat-SPIRE Efficacy

The Cat-SPIRE vaccine reduces symptoms in those who suffer from cat allergy. Two interns will work on complementary projects that will evaluate blood and nasal biomarkers of Cat-SPIRE efficacy. One trainee will examine changes to the DNA in special immune cells called dendritic cells, isolated from blood. The other trainee will examine markers of inflammation […]

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Feasibility, validity, and reproducibility of wearable sensing technologies to assess mobility in hospitalized older adults

Following hospitalization, many patients do not return to their pre-hospitalization level of health. In older patients, the time spent in a hospital bed leads to mobility impairments. We propose to use wearable sensing device to register the time spent by hospitalized older adults in the bed and walking. This information will help to better identify […]

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Operationalizing Two-Eyed Seeing

As the conservation sector moves forward to support Canada’s international commitments to protect the environment and honour Indigenous rights, there is increasing interest in pairing Indigenous with mainstream knowledges. Etuaptmumk, or Two-Eyed Seeing in Mi’kmaw as introduced by Elder Albert Marshall, offers a way to do this by leveraging the strengths of both indigenous and […]

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MULTI-CRITERIA DECISION MAKING MODEL FORENVIRONMENTAL SUSTAINABILITY ANALYSIS IN ICT

While Information and Communication Technology (ICT) and related software development is growing with different opportunities, ICT related energy consumption is also dramatically increasing. In the parallel of this growth, it is wanted to minimize the negative effects by encouraging equipment that is sustainably produced, lasts longer, wastes less energy, used in an efficient way and […]

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Efficient Data Representation for Wildfire Predictions

Wildfires continue to pose severe threats to ecological systems, communities, and economies worldwide. Early and accurate prediction of wildfire occurrences is crucial for effective preparedness and response strategies. This study investigates the application of machine learning methods to predict global wildfire events, utilizing the SeasFire Cubes dataset — a scientific datacube designed explicitly for seasonal […]

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Advanced control on an autonomous vehicle with independently actuated wheels

The proposed project will focus on the control of autonomous car, also known as a driverless car, which is an autonomous vehicle capable of fulfilling the human transportation capabilities of a traditional car. The research platform is an electric car with four wheel independent control. The findings in this project can be used in either […]

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