Using simplified language understandable to a layperson, provide a general, one-paragraph description of the proposed research project to be undertaken by the intern(s) as well as the expected benefit to the partner organization.

Over the past decades, Canada has witnessed a continuous increase in the frequency and magnitude of climate change-induced natural disasters. Flood events are considered the most occurring climate-induced hazards in Canada. Cities rely on a series of Critical Infrastructure Networks (CIN) to perform adequately, flood events can be the reason for serious disruptions in these […]

The proposed project is aimed at developing image and signal processing algorithms to enable the Christie VeinViewer® device to determine approximate depth of veins. This is a challenging research project due to the limited amount of information available and real-time fast processing required. The VeinViewer® uses a single infrared wavelength and a CMOS camera to […]

Water contamination poses a serious risk to health and economic development in Canada and around the world. The ability to inexpensively and quickly detect the pathogen contamination in water will mitigate the risks associated with water contamination. The LAMP-based biosensor described in this proposal will be able to provide these capabilities, and enable fast and […]

Unlike in lossless compression, the decoder in a lossy compression system has flexibility in how to reconstruct the source. Conventionally, some measure of distortion such as mean squared error is used as a quality measure. Accordingly, lossy compression algorithms are analyzed through rate-distortion theory, wherein the objective is to minimize the amount of distortion for […]

eye3 is a medical device development company based in Southwestern Ontario. Our research facilities are at McMaster University in Hamilton, with head offices in Port Credit. Eye3 is developing a next generation point of care screening device for detecting drugs of abuse. The platform utilizes a field friendly, ruggedized reader and cartridge system to test […]

McMaster University is collaborating with National Research Council Canada (NRC) under the AiP program of NRC, to develop smart textile technology that will integrate energy components into textile wearable products to provide daily and on-demand physical stimulus to the aged wearers. It aims to slow down or prevent the development of age-related health problems. The […]

Developing new high performance steels using pilot scale facilities such as those available at CanmetMATERIALS laboratory in Hamilton is more efficient and cost effective than using industrial lines. However, some recent projects carried out for Stelco Inc revealed unexpected discrepancies between pilot scale results and real industrial data. The aim of this project is to […]

Immunoglobulin (Ig) is a blood product that is used for people who either lack IgG antibodies or require immunomodulatory therapy for life-threatening autoimmune conditions. The use of Ig products continues to increase each year, at an average rate of 8%. The COVID-19 pandemic has introduced additional stress on the Ig supply due to a reduction […]

There is increasing evidence that multiple genetic variants within a patient can compound their effects, resulting in a more severe clinical phenotype in comparison with the clinical manifestations in individuals with single genetic variation. In this study, we aim to examine the clinical utility of a massively parallel sequencing technique to identify clinically relevant secondary […]

Bacterial resistance to aminoglycoside antibiotics is a major public health problem. The WHO (World Health organization) has highlighted the urgent need to find new treatments to fight multidrug resistance MDR bacteria, as actual drugs are less effective or inactive. This research project aims to develop new chemical compounds to restore bacterial sensitivity to antibiotics currently […]

An organization that can effectively understand its specific customers’ needs will be able to follow the best communication approach and accurately measure engagements. A data-driven framework based on the customer’s digital behavior, historical data, will be developed to identify specific customer segmentation and used to find optimal next best action to enhance customer experience by […]