Large ships routinely pass through the St. Lawrence Seaway. These ships generate waves that could exacerbate erosion of the St. Lawrence River shoreline. This research project will measure waves continuously during a shipping season and simultaneously measure turbidity of the nearshore water to link ship waves to sediment mobilization events. Bank line recession rates will […]

The transportation sector is responsible for 25% of Canada’s greenhouse gas emissions and efforts to address climate change by electrifying transportation will reduce the demand for gasoline and diesel fuels. At some point in the decline internal combustion engine (ICE) vehicle owners will face the same challenges that have plagued electric and hydrogen vehicle owners […]

Market research – Research North American and European cannabis industry / Bee and honey products and by-products (food products, lipbalms, topicals, etc.), identify price points, competitors, target consumers, consumer needs and preferences. Intern will gather as much information as possible from online sources as possible. Sales Approach – Identifying and contacting retailers (NL Cannabis, OCS, […]

The National Bank of Canada (BNC) is integrating artificial intelligence (AI) in their software development processes. Within their software projects, the team is continuously improving solutions and integrating them within the organization. A key issue in the development and integration cycle is allocating team resources to different tasks. Short-term development tasks (completed under “sprints” in […]

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 […]

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 […]

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 […]