This internship will focus on investigating potential software applications for automated steel design that has a high potential for improving the cost-effectiveness of conventional and modular construction, as all input is parametrized to allow the consideration of a multitude of real-world factors simultaneously. As a steel design and analysis software developer, the partner organization is […]

This project will conduct a resident survey across the Yukon to gather critical data that will be used to inform policy decisions across the Yukon in several areas. 1) Housing: gather data to find where there are the most urgent housing needs. The needs may be different from community to community; the data needs to […]

This application focuses on Ghostlab’s ATM Project Ghost ATM software introduces financial sovereignty to the traditional ATM service. Ghostlab’s ATM software makes cryptocurrency as accessible as cash by removing the barriers of complexity users face when navigating contemporary cryptocurrency exchange. The ATM software harmonizes all necessary components needed to initiate and complete cryptocurrency exchange on […]

To ensure high product quality and continue driving gains against their multinational counterparts, independent craft beverage facilities require access to analytical data on their products, and yet most craft beverage facilities cannot afford the considerable costs of building, staffing and supplying their own in-house labs. Raft fills this need by serving as the centralized laboratory […]

InnovaHealth is a dual-streamed Incubation and Acceleration platform offered by Innovative Canadians for Change (ICChange) that creates economic benefits by preparing entrepreneurs to launch disruptive, community-driven change in healthcare specifically in marginalized and underserved populations in Alberta. Disproportionately costly and inefficiently managed health disparities have been identified in Indigenous and low-income communities by the Alberta […]

RemBRAINdt is a project seeking to explore the relationship between emotion and art. EEG data is processed through machine learning algorithms in order to label the data with a particular emotion or emotional qualities. It will be my job to design the front and back end integrations for the payment and data transfer portion of […]

There’s nothing quite as delightful as using a well-designed product, especially a piece of software. A field of research known as User eXperience (UX) tries to define measures that describe what a good design feels like. While conventional measures of UX for software work well (how long things take, whether you complete your task successfully), […]

Fourien is facing negative affects on its manufacturing and sales because of interrupted supply chain in the electronics components. In order to recover from the impact of the pandemic, the company is considering to implement some critical changes in the design of its circuit boards. The transition involves a complex process to evaluate the economics, […]

The streamflow forecasting tool proposed here will automate data collection and processing for machine learning (data-driven) models by querying online databases from Alberta Agriculture and the National Oceanic and Atmospheric Administration (NOAA), and then using the received data to predict the current year’s average monthly and seasonal streamflow with minimal input from users. Of relevance […]

Different ways of seeing the world will be sought to help inform how we plan to live with the world. Landscapes, species, all need their ‘part’ of the world and this project will aim to bring indigenous ways of knowing and being into how we give part of the world to them. Various First Nations […]

Temperature is a critical parameter in welding and related processes such as metal additive manufacturing. The real-time temperature measurement systems based on infrared thermal cameras have a potential to significantly improve the existing process control systems and, consequently, the quality of the welds and additive manufactured products. Conventional thermal cameras work in midwave (MWIR) and […]

The proposed research will develop the underlying medium that can be further advanced into a real-time emission intensity assessment framework. The intern will be developing computational models based on electricity generation metered volumes and investigate how deep learning and data mining approaches can assist information extraction to enhance analytical capacities on sequence learning. Since ReWatt […]