Improving Donor Relations through Machine Learning

This project involves looking at machine learning as a new way to engage with donors for charities that can result in a more effective channel of communication.

Investigating Imaging Data to Determine Early-Stage Pressure Ulcer Detection in the Development of a Smart Device Application for Persons Experiencing Neuropathy

There is a scarcity of affordable custom pressure mapping equipment that enables a more independent life for persons suffering from neuropathy due to paraplegia or aging. Such individuals with limited mobility are at risk of developing pressure ulcers due to their lack of reactive nerve signaling, which can be life threatening.

Direct CO2 Capture with Amine-Functionalized Metal–Organic Frameworks (MOFs) – Experimental and Modeling

This project supports a carbon management project involving Advanced CERT Canada active in Energy and Environment. The project aims to remove obstacle to cost effective developments of carbon emission reduction in Canada. This will be through developing strategies and techniques to capture CO2 using Amine-Functionalized MOFs. The MITACS support will be used to hire a research assistant to support the activities envisaged in the project. The researcher will be supporting computational modelling and design and operations of tests systems at Memorial University (MUN).

Wire Arc Additive Manufacturing for automated repair and restoration in remanufacturing: the case of martensitic stainless-steel components

The proposed Mitacs E-Accelerate project mainly focuses on developing the application of the wire arc additive manufacturing technique as an alternative automated repair and restoration method for current manual processes implemented in Canadian industrial sectors. The main barrier toward the application of the wire arc additive manufacturing as a repair/restoration technique is the challenges in the resultant mechanical and electrochemical response of the restored component.

An investigation into Dynamic Bluetooth Mesh

Audyse Technology is currently developing a Bluetooth communication system to be embedded into personal protective equipment for people who work in environments with consistent noise, this includes factory workers, construction, land scaping, as well as recreational activities such as motorcycling. Current Bluetooth provides point to point connections and can generally support two (sometimes three) devices connected at once. This will not work for scenarios where multiple people need to talk to each other at once and are spread out over a range that standard Bluetooth will not work.

Developing a better understanding of the integration needs of newcomers in the workplaces in Newfoundland and Labrador

The goals of this partnership are for this study to provide an informative framework that employers can work from to develop strong policies which can demonstrate their sensitivity to the lived experience of their immigrant employee. From that goal, several other beneficial actions can occur which may strengthen Newfoundland and Labrador into becoming a powerful migration destination which may alleviate many troubling trends that the province is currently experiencing.

Assessing the Feasibility of a Sea Cucumber Fishery in Nunavut

Sea cucumber is part of the Inuit traditional diet in certain regions of the Canadian Arctic. Both sea cucumber andclosely related sea urchins are among the favourite foods in the Arctic. Currently, there is currently no commercialfishery for sea cucumber or sea urchin anywhere in the Arctic, whereas harvests from the North Atlantic areprimarily exported to Asia as luxury seafood.

Modelling Investigation of Arsenic Contamination in Drinking Water

This project supports comprehensive investigation of arsenic contamination in the aquatic ecosystems in Canada. The project aims to provide a framework/guideline to predict probability arsenic contamination in different area. This will be through appling AI and ML modelling approaches by considering geo-environment and hydrochemical predictor variables. The MITACS support will be used to hire a research assistant to support the activities envisaged in the project. The researcher will be supporting computational modelling at Memorial University (MUN).

Finite element modelling for the assessment of dented pipelines

Pipelines are extensively used across Canada and worldwide as a safe, reliable, and environmentally friendly way of transporting oil and gas. The pipelines traversing different ground conditions are sometimes subjected to minor mechanical damages from external interference. A dent is a type of mechanical damage resulting in a plastic deformation of the pipe wall. The proposed research focuses on developing a cost-effective solution for the dented pipes with an assessment of the performance of the pipes using numerical modeling.

Risk-time Risk Tracker through mapping HAZOP into Bayesian network using machine learning

The first step in analyzing potential risks in a process system is called hazard identification. As the name states, it identifies the potential danger in relation to system operations. In other words, this step answers what can go wrong in a system. This results in a listing of what can go wrong, its causes and consequences. There are established techniques that were developed in the past for this purpose. The industry has been using them for over half of a century. Since then, the complexity of the systems has significantly increased.