CanAML Intelligence is an AI-powered compliance platform being developed to modernize Anti-Money Laundering (AML) operations for Canadian financial institutions. The project focuses on building explainable, automated risk detection and FINTRAC-compliant reporting workflows.

Developing QuantumSecure Wireless Hub: quantum-safe wireless security integrating Quantum Key Distribution with wireless infrastructure to protect against current cyber threats and future quantum computing attacks. Addressing the $36B quantum cybersecurity market opportunity

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 […]

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 […]

The research project involves studying how incubator programs help artists become successful entrepreneurs in the music industry. Incubators are places where artists get training, support, and resources to build their careers. The interns will collect and analyze data to understand how these programs impact artists’ growth, creativity, and business skills. By examining these effects, the […]

For this proposed project we aim to collaborate with the University of Toronto, Mitacs, and the partnered organization to further develop, refine, and bring to market our novel Contactless Infrared Sleep System (CIRSS). Our novel invention uses advanced specialized infrared imaging to measure key psychophysiological signals including heart rate, heart rate variability, stress, breathing rate, […]

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 […]

VirtualSLP is an AI-powered platform transforming care for patients with neurologic speech disorders. Conditions such as ALS often cause bulbar impairments—loss of speech, swallowing, and facial expression—that devastate quality of life. Yet clinicians, particularly speech-language pathologists (SLPs), face overwhelming barriers: caseloads as high as 600 patients per year, only 15–20 minutes per visit, and no […]

Spine surgery often requires real-time X-ray images to guide surgical tools safely around delicate structures. However, using X-rays continuously during long operations can expose both patients and medical staff to unnecessary radiation. One way to reduce this risk is to use saved X-ray images for navigation rather than continuous exposure; however, this requires precise tool […]

This project focuses on developing a market and regulatory strategy for GlucoSmart Nanogel, an innovative Canadian-made wound-healing therapy designed for people with diabetes. The nanogel combines infection control, immune modulation, and tissue repair in a single, affordable treatment to improve healing outcomes for diabetic foot ulcers. Over four months, the project will evaluate regulatory requirements, […]

MPWash develops a reusable, cartridge-free filter that captures microplastics released during laundry. The project advances prototype validation, regulatory readiness, and commercialization to reduce pollution and strengthen Canada’s cleantech leadership.

The study of complex systems using networks has become a central theme across disciplines, from social sciences and economics to biology and information systems. Graph theory, which models entities as nodes and their pairwise relations as edges, has provided a powerful framework for analyzing such systems. Graph-based methods have enabled advances in tasks such as […]