6G is the next generation of wireless network technologies. 6G signals are millimeter-waves, which are highly prone to blockage from obstacles such as trees or buildings. Due to this, behavior of the wireless environment is highly probabilistic and coverage holes can appear. This project aims to develop a reconfigurable intelligent surface (RIS) which has the […]

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 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 […]