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 […]

Obesity and high levels of blood glucose are major risk factors for cardiometabolic diseases, such as type 2 diabetes and heart disease. Controlling food intake and blood glucose responses after a meal may help prevent the development of these diseases. Research suggests that people who consume breakfast cereals are at lower risk of cardiometabolic disease […]

Spin control is of great importance for characterization of optical emitters in a quantum system. Colour centers are fluorescence defects in a crystal, which can act as single photon emitters for quantum optics. As colour centres can operate at room temperature in an ambient environment, they hold great promise for enabling future small footprint quantum […]

Brainbot and the TeleNeurorehab Centre for Acquired Brain Injury at the KITE Research Institute are partnering to explore how innovative digital solutions can expand access and enhance the healthcare experience. Interns will delve into the research of a cutting-edge digital tool aimed at improving patient care and management for concussion recovery. Brainbot will gain valuable […]

The field of research exploring slippery covalently attached liquid surfaces (SCALS), formed with Polydimethylsiloxane (PDMS) brushes, is fairly new and is proving pivotal in creating economically feasible and non-toxic solutions to resist fouling and prevent ice adhesion. These solutions will contribute to a more sustainable future by lowering the energy expenditure required for optimal efficiency […]

Perovskite solar cells are a specific type of solar cell that has become popular in recent years due to their low making cost and higher ability to produce electricity from sunlight. My research project aims to train a neural network that can help predict different characteristics of a perovskite solar cell, thus helping to increase […]

Aluminum alloys are widely used in many industrial applications, including automobile industries, thanks to their outstanding thermal conductivity, lightweight, and low cost. However, the varied range of metal impurities contained in aluminum alloys from different suppliers makes it difficult to control the quality during manufacturing processes. This problem is exacerbated by the lack of a […]

This project enables interns to enable Market Innovation in Canada, related to their field of study or industry of interest. This will contribute significantly to the Cansbridge Fellowship’s mission of empowering entrepreneurially-minded students and promoting innovation in Canada. Under the guidance of the academic supervisor, the intern will focus on identifying innovative organizations for potential […]

Ultrafast electron diffraction (UED) is an established tool to record atomic motion on very short timescales well below one picosecond. The sample, typically less than 100 nanometers thick, is first excited with an optical pump-pulse leading to the rearrangement of its atomic or molecular constituents. Subsequently, the structural changes are probed by a short electron […]