The transition from incarceration to the community (i.e., reintegration) is often characterized by uncertainty, unease, and instability. While there is a strong understanding reintegrative barriers like a lack of safe and stable housing, employment, and social support, reintegration is often characterized as a series of distinct challenges that determine its success. This overlooks how previously […]

Climate change has emerged as one of the most critical problems of the 21st century, driven by the rise in greenhouse gas emissions. The polymer electrolyte membrane fuel cell (PEMFC) is a device that converts chemical energy into clean electricity with zero emissions. The proposed research aims to utilize machine learning algorithms to predict the […]

This proposed project aims to develop a control model that can counteract gait asymmetries in human walking. Gait asymmetries can arise in two different scenarios. It can be introduced from the environment, such as uneven terrain or strong winds, that would cause the body to need to adjust its motion to stay balanced. It can […]

The proposed project aims to develop a method for three-dimensional reconstruction of manual work using multiple RGB-D cameras and a thermal camera. This innovative approach will enable the digital archiving of intangible cultural heritage, such as traditional craft techniques and dance performances, which are currently predominantly documented in 2D formats. By integrating rich information about […]

The overall goal for the Active Worker Strategy is to increase movement within the workplace. Office workers tend to be inactive within their working environment, which may cause an increased risk of developing work-related pain later in life. This investigation is going to look into creating office layout guidelines in order to promote a more […]

The main purpose of this cluster proposal is to test the hypothesis of whether the Customer Services & Support Department of Bombardier Commercial Aircraft Division can develop new business models to transform itself into a profit center within the Bombardier’s organization. To carry out this test, a thorough investigation of the after-sale needs, wants and […]

The effective planning of resources when scheduling maintenance tasks and repair jobs is an enormous challenge, especially for heavy industries such as aerospace and transportation manufacturers. In such industries, because of the product complexity and variety, not to mention continuous technological improvements, a broad range of maintenance tasks and high-performance services should be done over […]

The central idea of this project is the observation that publications using systematic time series feature extraction from the Open Source machine learning library tsfresh, always need to visualize and explain the extracted features. Due to the fact that tsfresh uses 168 algorithms to compute up to 800 time series features, this process can be […]

The Northwestern Health Unit (NWHU) aims to address substance use issues prevalent in its catchment area by integrating two projects. Firstly, targeting high alcohol consumption rates, the initiative will require behavior change strategies to combat the normalization of alcohol use. By tailoring interventions to diverse subgroups, NWHU endeavors to shift cultural attitudes, thus reducing associated […]

The proposed project aims to enhance the interpretability of machine learning models, particularly in the context of time series data analysis. By extending the capabilities of the tsfresh library, a widely used tool for time series feature extraction, the project seeks to make complex models more transparent and understandable. This effort will improve confidence in […]

This research project works to improve the industry partner’s customer engagement prediction by using advanced analytics. The project focuses on understanding which contacts are most likely to engage with a customer’s marketing campaign, such as opening emails, clicking links, or making transactions. By analyzing a large amount of data, the research team will develop models […]

The free-flow counter gradient focusing technology provides a solution to tackling the problem of separating and collecting large amounts of protein sample. This technology is to be high performance and scalable, and is meant to compete against current batch mode protein separation techniques. The intern will assist in developing the experimental set-up necessary to validate […]