TRLUP – Intelligent Automation of Phased Array Ultrasonic Testing for Quantitative Defect Characterization and Evaluation

This project develops an intelligent automation system to revolutionize how we inspect safety-critical components in industries like aerospace, energy, and manufacturing. It focuses on Phased Array Ultrasonic Testing (PAUT), a powerful but skill-dependent method for finding hidden flaws in materials. Currently, interpreting PAUT data demands highly trained technicians to analyze complex signal patterns and images. […]

Read More
TRLUP – Selective PSRV for Methane Emission Reduction from Uncontrolled Storage Tanks

Uncontrolled atmospheric, fixed-roof tanks often “breathe” straight to air through relief valves and hatches, releasing methane. Many small or remote sites can’t justify flares or VRUs, so we’re developing a Selective PSRV, a membrane-based vent that lets nitrogen and oxygen out while holding back methane and heavier hydrocarbons. In our Lab2Market Validate work we spoke […]

Read More
Design and Implementation of a Generalized, Secure, and Scalable API

DiamondAI and McMaster University are working together to create a secure and scalable software interface, called an API, that connects DiamondAI’s career guidance platform with the online systems used by schools and colleges. DiamondAI helps students and newcomers understand their strengths and interests through personalized assessments powered by artificial intelligence. Right now, most schools use […]

Read More
L2M-COASTAIR

Coastal and marine pollution is draining ecosystems and budgets across Canada and beyond, yet we still check shorelines with clipboards or wait for low-resolution satellite passes. The result: blind spots, slow responses, and costly cleanups. COASTAIR flips that script. Our AI-enabled aerial platform pairs agile drones with RGB and hyperspectral cameras to spot, classify, and […]

Read More
L2M – Clean Hydrogen and Ocean Alkalinity Enhancement through Bipolar Membrane Electrodialysis

This project aims to advance a clean technology that uses an electrodialysis process to remove acidity from seawater while producing green hydrogen. Using seawater and renewable electricity, the system removes excess acidity, encouraging ocean carbon uptake. The result is de-acidified seawater capable of absorbing more carbon dioxide, while simultaneously producing green hydrogen as a valuable […]

Read More
L2M – AI-Driven Cybersecurity for Ocean Critical Infrastructure

This project will develop an AI-powered cybersecurity system to help protect important ocean infrastructure, starting with offshore energy systems such as oil and gas, wind and tidal farms. These facilities are becoming a key part of Canada’s clean energy future but are also vulnerable to cyberattacks that could cause costly shutdowns or disruptions. The project […]

Read More
L2M-A Triboelectric Nanogenerator-Based Strategy to Minimize Battery Dependence in Ocean Sensing

We are developing a self-powered ocean-energy system that reduces reliance on conventional batteries by using triboelectric nanogenerators (TENGs) to harvest energy from ocean waves, currents, and wind. Unlike many existing technologies that struggle with low-frequency and unpredictable motion, TENGs are lightweight, low-cost, and highly efficient at capturing irregular, low-frequency energy. With nearly 70 % of […]

Read More
L2M Highly Efficient DC-DC Converters for Small Offshore Oil Rigs

Offshore oil rigs play a critical role in Canada’s energy industry, but they rely heavily on diesel generators that are expensive, polluting, and difficult to maintain in remote marine environments. This project explores the development of highly efficient DC–DC converters—advanced electronic devices that improve the way electricity is managed on offshore platforms. These converters make […]

Read More
L2M Novel Hybrid Scanless Confocal Fluorescence Microscopy System

Our project introduces a novel hybrid fluorescence microscopy system that merges the strengths of light-sheet and confocal microscopy while eliminating their key limitations. The system is fully scanless, removing the need for any motorized scanning devices—resulting in faster, simpler, and more reliable imaging. It also integrates a signal intensifier to detect weak fluorescence and a […]

Read More
L2M-Digitalizing On-Demand Inventory with AddManuChain Platform: An Innovative Bridge between AI and Additive Manufacturing for Sustainable Industrial Operations

The project aims to prove and commercialize AddManuChain, a computerized inventory system that will deploy on-site 3D printing to print certified parts on location at the remote industrial sites, including offshore oil platforms, mining operations, and also in the maritime facility to eliminate the expensive effect of long downtimes incurred during part replacement. The project […]

Read More
TRLUP – AI-Powered Drones for Infrastructure and Industrial Inspection

Aeronovous delivers AI-powered drone inspection solutions for infrastructure, industrial equipment, and wind turbines, with this internship specifically focused on wind turbine applications. The traditional inspection industry relies on costly and inefficient manual methods—rope-access technicians, prolonged turbine outages, and highly variable reports influenced by crew experience and weather conditions—creating significant safety risks, operational downtime, and inconsistent […]

Read More