Glass fiber reinforced concrete (GFRC) panels are a lightweight cladding panels primarily used as fascia panels in building structures. Concrete when reinforced with fibers is often presented as an environmental improvement on typical concrete. In the wake of the rapidly emerging climate change emergency and to help improve resiliency in our residential buildings, the National […]

Renewable energy resources such as wind and solar power are often tied to the grid using dc-ac power-electronic converters. Unlike large power plants, these sources of energy have a dispersed nature, i.e., they are comprised on many small units that are operated in parallel to form a large power plant. This project deals with investigating […]

Computer modeling and experimental testing will be conducted to examine and verify the reliability of ultrasonic guided wave techniques for detecting wall thinning and cracking in feeder pipes in CANDU nuclear reactors. Bracelets holding 8 and 16 ultrasonic transducers will be developed. These bracelets are attached to the pipe to produce guided waves which propagate […]

Social entrepreneurship is the practice of recognizing and creatively pursuing opportunities that build social value. Regardless of race, sex or gender, and educational level among other factors, social entrepreneurs are innovative, practical, and results oriented. Worldwide, persons with disabilities (PWD) represent an increasing section of the adult population. This is partly due to the fact […]

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 […]

The project will develop and validate a reagent-free UV-Vis absorption-based sensor for the direct, real-time quantification of nitrogen in agricultural watersheds. AUG’s machine learning-based multiple regression models will also be developed to process the real-time UV-Vis absorption spectral data and enhance sensor performance suitable for continuous field operation. This project will lead to an innovative […]

Metabolomics is a rapidly growing field involved in detecting and characterizing all the metabolites present in a biological system such as blood, urine, cells and tissues. Metabolomics has been increasingly used in many different areas of applications, including the discovery of metabolite biomarkers for early diagnosis or prognosis of diseases, holistic study of biological systems […]

Information on effective environmental enrichments for young pigs is needed to promote pig health and welfare and to support Canadian producers in meeting the Code of Practice requirement for enrichment provision. Most environmental enrichment studies have focused on market pigs as they are prone to damaging behaviours such as tail biting. However, studies suggest that […]

In Canada. guidelines call for the identification of language impairment in children before 3 years of age to enable early intervention. A family doctor is often the first person with whom a family raises such a concern. The proposed research uses the Language Use Inventory (LUI), an empirically-validated standardized 20 minute questionnaire assessing 2- and […]

Periodontal diseases are the most important condition diagnosed in dogs’ mouth. Bacterial biofilm, also called dental plaque is the first step on the development of periodontal diseases and nearly 100% of dogs will develop dental plaques if routine removal is not regularly performed. The oral microbiota has been recently implicated in the development of dental […]