This project focuses on improving short-term electricity demand forecasting, which is essential for ensuring the reliable and cost-effective operation of the power grid. Many Canadian utilities are now using demand-side management strategies such as peak shaving, reducing electricity consumption during peak hours, to lower costs and reduce strain on the grid. However, these strategies can […]

DeepSimu, the next generation of Deep Learning (DL) frameworks, is proposed to deal with the challenges which Artificial Intelligence (AI) practitioners are facing nowadays when using the available Machine Learning (ML) tools such as Tensorflow, Pytorch, Keras and ScikitLearn. While these frameworks necessitate high level python programming skills like object-oriented programming, DeepSimu has made a […]

The aim of the project is to develop and characterize metal organic frameworks (MOFs), a new class of porous material that can be used for selective nitrogen (N2) , oxygen (O2) and carbon dioxide (CO2) gas separation. These new molecular compounds will unlock a remarkable suite of possibilities for future technologies, far beyond today’s gas […]

This project will work on the development of a plasma process for synthesis of carbon nanomaterials. The effort will focus on design of the entire core components to allow very low carrier gas flow rates. The low gas consumption was identified as the highest cost factor in the manufacture of graphene, fullerenes and nanotubes (using […]

This project will help Youghall Beach Company (YBC), a small business in New Brunswick, create a complete digital marketing plan from the ground up. YBC sells beach-inspired clothing and gifts that celebrate the local culture and coastline, but it currently has little online presence. With help from an intern, the company will set up and […]

Salt marshes are highly productive coastal ecosystems that have faced extensive impacts from human activities. They provide an extensive array of services including the provisioning of habitat to a diversity of species. In Maritime Canada, acres of salt marsh have been diked to accommodate agricultural land, freshwater impoundments, and infrastructure. Increasing recognition of the services […]

A valued sector of our services caters to youth considered to be at risk of offending, or re-offending due to their economic, social, emotional, cultural marginalization, or accessibility. As the summer approaches, we recognize that this group of youth are underemployed, and that their socioeconomic background and lack of work experience is a barrier to […]

AVN uses a sophisticated Distributed Control System (DCS) to monitor and control the process. The mill is equipped with a data historian system which captures continuous and discrete process data from the DCS and manual tests. The effectiveness of process monitoring and control has evolved over the years. But at many stages of the process, […]

This project will support Autism Connections by helping to secure sponsors for our 2025 Superhero Fun-Run/Walk, our largest fundraising and community event of the year. The intern will research potential sponsors, create a sponsorship package, and reach out to businesses to build new partnerships. They will also develop tools and materials that can be reused […]

The project at L’Arche Fredericton aims to create a sustainable and long-term monthly donor program to support individuals with intellectual and developmental disabilities. The intern will help develop digital fundraising strategies, manage donor relationships, and use data-driven approaches to increase engagement and retention. By the end of the project, the goal is to establish a […]

This project aims to accelerate the development and adoption of Cropmind Inc.’s AI-driven precision farming solution by focusing on product refinement and market expansion. The intern will enhance software usability by analyzing user feedback, developing prototypes, and conducting product testing to optimize AI integration for farmers. Additionally, they will support business development by engaging with […]

Mapping clusters to behavior profiles – This project directly addresses the need to build a bidirectional predictive model: one that can not only infer motivational traits from data but also simulate likely outcomes from known psychometric inputs. This level of interpretability and personalization is important to introduce a layer of human-centered modeling previously unavailable in […]