Grants and Contributions

This project aims to develop a novel in-service concrete pipe wire break detection AI system that features an advanced deep learning models and an intuitive Graphical User Interface. This project is poised to deliver significant social and economic benefits by fundamentally transforming electromagnetic (EM) analysis solutions, improving accuracy and operational efficiency for wire break detection in concrete pipe. The innovative AI system allows engineers to rapidly detect wire breaks in critical concrete water mains, offering a cost-effective and scalable solution crucial for building market trust and fostering the adoption of advanced diagnostic technologies.

The goal of this project is to develop a fully-automated product for use in the quality inspection of turbine blades using the X-ray Laue technique. For some time, the missing link in bringing such a product to market has been the intervention of an operator when determining the orientations of the grain(s) being imaged. This project would build upon proof-of-concept examples in the literature, whereby a feed-forward neural network is trained to extract the orientations of one or more crystal grains from a synchrotron Laue image, and apply this approach to the analysis of laboratory Laue images (which are qualitatively lower-resolution).

Provides a recent "BSc, Interactive Arts and Technology" graduate with career development opportunity in CX/UX Design & Management, and provide high quality training in Mobile App Development to develop UX Workflows/Refinements skills.

Project aims to provide a chemistry-focused review for AI model inputs and outputs across several AI models.

This project will test hypotheses and experiment with new mechanisms to design a repeatable and scalable business process, which may result in new business methods for linear accelerator simulator training platforms.

Isolating and refining Omega-3 oil without the use of high heat. Followed by removal of contaminants ensuring purity and regulatory compliance.

Germany ZIM – GNOMIC - Develop a modular Guidance and Navigation subsystem for launchers using F-prime OS and a Liquid Injection Thrust Vector Control (LITVC) engine control system.

This project will test hypotheses and experiment with new mechanisms to design a repeatable and scalable business process, which may result in new business methods for cloud software for municipal financial planning.

The project will create and implement a marketing strategy to generate sales for iSBERGDATA. The project will map out an overall strategy for the full range of iSBERGDATA products and start implement the strategy in a stepwise manner. The Firm will first focus on the PRAKTIK and EXPERTIS products for early-stage General surgeons. PRAKTIK is aimed at residents and EXPERTIS for those early in their practice. The Firm will expand both PRAKTIK and EXPERTIS to obstetrics and gynaecology, orthopaedic surgery and urology. The project will seek out affinity agreements with the relevant specialty organizations like what we have in General Surgery.

Pehta Integrity is a web-based application that provides Indigenous communities with verified insights into employment and procurement outcomes from industry projects. Developed in partnership with Nisto, the project will deliver the "Our Nation" module, allowing First Nations to view, filter, and analyze economic impact data specific to their communities. This innovative solution supports transparency, data sovereignty, and Canada’s 5% Indigenous procurement target by standardizing how industry and government report Indigenous benefits.