In this project, the candidate will gather new & utilize existing data in conjunction with machine learning algorithms to optimize various aspects of how one (or more) social games operates. Experiments will be proposed and run in order to gather operational data. This data will be used in conjunction with existing player & game data […]

MyHealthNB is a province-wide personal health records (PHR) application that provides all New Brunswick citizens digital access to their health information, including lab results, immunization records, medication lists, and imaging reports. Although MyHealthNB was developed with aim of empowering New Brunswickers to be more actively involved in their health and healthcare, the solution has yet […]

In our proposed project, we aim to predict the behavior of large structures like buildings and bridges and key devices upon the large structures in response to natural hazard such as earthquakes. By combining cutting-edge deep learning techniques with the multi-fidelity concept, we’re developing a deep learning model that can predict the response time histories […]

Despite significant therapeutic advances, the management of type 1 diabetes remains a major challenge, with current modalities unable to achieve, in every patient, optimal blood glucose control, while minimizing complications. Precision Medicine steers away from this ‘one-size-fits-all’ approach. Precision Medicine aims to understand each child’s health by integrating all the information they share about themselves, […]

This project aims to benefit society by improving accessibility for viewers who may not be able to receive sound information well from the media content, including DHH viewers. To develop and research for the project, it is necessary to reflect an in-depth and multi-faceted case analysis on the topic of improving sound accessibility. To fulfil […]

This project aims to explore the mechanical behaviors of ferroelectric polymers, focusing on P(VDF-TrFE), through atomic force microscopy (AFM) techniques. By investigating the frictional properties of P(VDF-TrFE) and similar materials using AFM-based methods such as transverse shear microscopy (TSM) and friction force microscopy (FFM), the project seeks to uncover the relationship between electrical polarization and […]

The project is focused on study of commercial microbial cultures for biological remediation of soils and ground waters contaminated by chlorinated organic. The successful elaboration and improvement of the products requires analysis on molecular-genetic level and developing of specific techniques (16S pyrotag pipeline) for microbial communities profiling and metabolic reconstruction. The work benefits to industry […]

The intern will lead the development of three research briefs based on findings from the 2023 Kindergarten Parent Survey, a unique research instrument designed by a collaborative of Halton researchers. The survey provides a snapshot of the wellbeing of Halton kindergarten preschool children and their families on multiple domains, including healthy development, physical activity, nutrition, […]

The clinical translation of innovative oncology treatments can be boosted by the establishment of alternative in vivo models based on the chick chorioallantoic membrane. In this project, a biomodel based on commercial cancer cell lines, such as hepatocellular carcinoma, will be established and characterized by standard biological assays. The biomodels will be employed for the […]

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 […]