Modern music providers offer multiple services such as artist recommendations, browsing, playlist generation etc. Users interact with these services using graphical interfaces on computers and mobile devices. There are applications that need voice-only interactions such as smart watches or when the user’s hands and eyes are occupied. Virtual assistants, such as Siri by Apple and […]

This research project aims to program a hand-held spectrometer to identify and analyze gamma radiation peaks emitted from isotopes. Based on the detected peaks, the device will identify the specific isotope from the gamma ray that was emitted. The partner organization will be able to commercialize such a device to be used in different areas […]

Acquiring labelled data for training supervised learning models is a barrier to a wider adoption of machine learning strategies in several industries. The data annotation task is generally complex and time-consuming. In this project, we will use raw unlabeled data generated by fiber sensors to reduce the burden of labelling data with problems within the […]

Research is currently underway to develop evidence-based resources that will populate the resource section. In the meantime, a robust infrastructure must be established within the app to adequately support an extensive selection of resources for a variety of users and environments. Because not all of the resources will be relevant to all users, a dynamic […]

Artificial Intelligence (AI) and Machine Learning (ML) are key technologies in the development of a new recommendation framework that is able to identify the association between users and items with greater accuracy. This link prediction algorithm can be used in economics, marketing, networking, and social media. It would decrease the rate of mispredictions and would […]

The research project aims to develop an approach based on resource management in 5G/6G network slicing to meet the performance requirements of remote surgeries that involve surgeons and patients connected remotely through a highly reliable and efficient network. Remote surgery’s relevance is because it allows low-income patients in vulnerable communities to access complex medical procedures […]

The partner organization’s primary stakeholder, Dr. Behzad Mansouri is a domain expert in the field of clinical eye examinations and their relationship to brain health. Dr. Mansouri knows the applications that are necessary to provide those in remote areas with access to health care related to his field, but does not have the means to […]