Near Infrared Camera Utilizing Nanomaterials and Nanotechnologies

Near-infrared (NIR) imaging systems play a vital role in human tissue imaging. These systems can facilitate various vital clinical applications. Such applications enable real-time metabolic monitoring, non-invasive imaging of the lymphatic system, and mapping of microvasculature blood flow. In this research, the problem to be addressed is the lack of accessibility to cheap near infrared (NIR) imaging systems used for regular health examinations. This is especially true for the people residing in remote areas.

Nano-absorbents for CO2 Capture Enhancement

Suitable nanomaterials will be selected to be used as nano-absorbents for CO2 capture (CC). The nano-absorbents will be
suspended in a base fluid used for CC to create a nanofluid. The performance of both the pure base fluid and the developed
nanofluid for CC will be evaluated experimentally in the lab and compared. Similarly, the nanomaterials will be mixed with a
base material for manufacturing a nanocomposite membrane and compare the performance for CC experimentally in the lab
with the base material membrane.

Development of peptide formulations to treat antimicrobial resistant infections

Excessive use of antimicrobials results in the evolution of antimicrobial resistant microbes, and the infection caused by such microbes are known as antimicrobial resistant (AMR) infections. AMR infections are on the rise and has a negative impact on the quality of life, healthcare system and ultimately on the economy. The current proposal aims at the external activation of one’s immune system as an alternative to the use of antimicrobials to treat AMR infections.

Development of an integrated land-based system for wastewater treatment for remote and rural communities

Residential wastewater is one of the largest sources of water pollution in Canada. Before being discharged to the environment, the wastewater needs to be treated to reduce risks posed to human health and the environment. However, the vast territory of Canada and the disparate locations of communities makes it a huge challenge to set up wastewater treatment infrastructure and provide necessary training and maintenance.

Multiscale Molecular Modeling on Green & Sustainable Catalysis- Industrial Application

In the energy sector, developing renewable energies such as carbon capture and utilization (CCU), bioenergy (biogas, biofuels, or green bio-chemicals), and hydrogen-based technology depends on improving catalytic technology. Technology providers in these sustainable areas are focused on developing better catalytic technology, while stakeholders must decide which technology to bet on.

Development of A Digital-Twin-Based Software for Gas Turbine Reliability Analysis

In the era of the industrial revolution, the availability of vast amounts of data necessitates the development of software applications with online dynamic reliability prediction capabilities. Such software should enable a data-driven analysis of equipment life by incorporating various operational and environmental covariates that impact equipment failure, thereby mitigating production losses.

Active noise cancellation of various noisy environments, especially construction sites, using advanced deep learning.

There are many commercialized active noise cancellation (ANC) headphones and headsets that try to reduce unwanted background noise. You can simply listen to your favorite music or talking with your loved ones in crowed areas using them without any distractions. The overall working principle of them is to generate an inverse signal to unwanted noise to neutralize it inside the ear drum. These devices are specially produced for single users. But how about cancelling excessive noise in car passengers’ cabin or working places that loud machineries are working?

Anomaly detection tool for gas turbine condition monitoring under variable operating and environmental conditions

Different industries have widely employed condition monitoring to evaluate their system’s health. For gas turbines, current methods have limitations related to certain operating and environmental conditions and are mainly based on supervised approaches requiring annotated data that is hard to acquire. This project will focus on developing an unsupervised anomaly detection mechanism that alarms users about a potential fault in the machine. The false alarm in typical models is big concern and, therefore will be addressed by a hybrid approach.

How we can modify processing methods to improve health benefits of B-glucan in traditional Kineto Barely Beverage for IBD Patients

People living with IBD, grave and lifelong disease, have gut damage and pain. Fibers can improve gut health in healthy people, but they are not digested in the gut. Instead, they are broken down by gut microorganisms (bacteria and fungi) in a process called fermentation. But the types and amounts of gut microbes in IBD gut is different from healthy people so they cannot ferment fibers. We showed that a fiber called ß-glucans, found in grains, does not cause inflammation but can still make the gut barrier leaky and allow access to harmful substances.

Building empathy: Acceptability and effectiveness of the In Your Shoes (IYS) app to students

Empathy is important to therapeutic relationships and patient-centred care where patients’ preferences and needs are met. We have developed a web browser app called In Your Shoes (IYS) that runs on any browser and has potential to provide empathy training experiences in any situation requiring perceptual understanding of what others are thinking and feeling. The intervention’s goal is to improve perspective-taking skills and perceptual accuracy (accurate understanding of another person’s thoughts and feelings).