While 3D printing has been hyped as the solution to the current shortage of organs available for implantation, the very limited scope of hydrogel-based “inks” that are available to print an implant has limited the practical implementation of 3D printing in regenerative medicine. In this project, we will combine the materials expertise of the Hoare […]

L’objectif du projet est de détecter rapidement des bris dans les bornes de recharge rapide. Pour ce faire, nous devrons extraire des données actuellement stockées dans des fichiers et ensuite les analyser à l’aide de l’apprentissage automatique. Finalement, pour les bris détectés, nous tenterons de trouver les facteurs les expliquant le mieux possible. Pour les […]

Le projet de recherche examine l’expérience maternelle des femmes marginalisées dans la région d’Ottawa-Gatineau. En collaboration étroite avec le Centre espoir Sophie et ses utilisatrices, nous nous pencherons sur les besoins des mères monoparentales en soutien matériel, social et psychologique, leur utilisation des services communautaires de santé mentale, les barrières à l’utilisation de ces services, […]

In waste-to-resource processes, variations in operating conditions are common, to accommodate varying process objectives and ambient disturbances. In these cases, well-tuned operating conditions are disrupted, and correlations among process and quality variables are broken, leading to unexpected outcomes. Due to large number of involved variables and their complex relations, it is challenging to re-tune system […]

Quantum Machine Learning is an emerging field of science, exploring the role that quantum computers can play when combined with machine learning models and methods. Within this field, kernel methods have quickly become one of the most promising and exciting techniques to show benefits in performance, even when using the current primitive quantum computers that […]

The aim of this research is to introduce a novel tremor suppression device capable of attenuating both Parkinsonian and Essential tremors. The approach taken involves treating tremors as vibration challenges and applying the theory of a vibration absorber to design and optimize the novel device. Detailed analysis of vibration absorption is used to identify key […]

The proposed research project aims to develop, implement, and evaluate the impact of a parent coach training program for a group of 12 Early Intervention (EI) professionals. The training will be grounded in evidence-informed practice and structured using an established framework for clinical competency education. The EI professionals will learn about the theories that inform […]

Climate warming may have resulted in altered initiation and termination dates of the primary growth (e.g. phenological development) and the secondary growth (e.g. stem xylem growth) of trees in the boreal forest, consequently impacting wood quality, forest growth and productivity, and carbon sequestration. This project will analyze the intra-annual wood formation and phenological data collected […]

Increasing safety and wellbeing is a desired outcome for most communities across the globe and the path to improving these results is murky and complex. These outcomes are influenced by many factors including the priorities of multiple levels of government, the community development approaches that are undertaken and the leadership styles and quality of relationships […]

In this project, the intern will work closely with the staff of Xanadu, a quantum computing company, to develop educational materials intended for an audience who are comfortable with classical computer programming, but have no prior knowledge or experience with quantum physics or quantum computers. By using interactive, web-based instructional materials, and animated graphics, the […]

Environmental forensic investigations endeavour to identify connections between environmental pollution and polluters. There assessments are integral to legal cases spanning pollution from accidental spills to illegal disposal of chemical waste. A common challenge is the investigation of complex contaminant mixtures that may have multiple polluters or where only part of the complex contaminant mixture are […]

The current study aims to develop a new workflow for occupancy schedules estimation using WiFi sensing technology and utilizing different machine learning and deep learning algorithms. Aerial will provide preprocessed CSI data, occupied and non-occupied time series, and activity level time series to be used by intern for extracting occupancy presence pattern, the number of […]