This project will develop and test an adaptive radar system that can monitor a person’s vital signs and detect falls without the need for wearable devices or cameras. The system uses advanced radar hardware and intelligent software to track heart rate, breathing, and movement safely and privately, even in real home or care environments. The […]

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

More than 90% of pharmaceuticals fail to impact fail to pass regulatory approval due to toxicity or lack of effectiveness. 50% of those failures have the potential to impact patient lives and existing therapeutics can be repurposed to expand therapeutic options if they can be delivered in smaller dosages to where they are needed most. […]

This project aims to make a fun, game-based screening tool that helps detect Parkinson’s disease by assessing motor and cognitive function without needles, expensive tests, or stressful doctor visits. Users play a multi level drawing game on a computer or tablet while our artificial intelligence analyzes their handwriting and movements to predict disease risk. This […]

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. […]

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 […]

ParkSmart is an AI-powered parking analytics platform designed to make parking management more efficient, accessible, and sustainable for cities, campuses, and organizations. The system utilizes existing camera footage and applies computer vision and artificial intelligence to detect parked vehicles and identify stall occupancy in real time. Through this approach, ParkSmart generates live parking availability simulation […]

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 […]

The project aims to develop a non-invasive, dual-modality tool combining eye-tracking (ET) and functional near-infrared spectroscopy (fNIRS) to measure cognitive capacity and enable early detection of cognitive impairments in older adults. Using short-term memory tasks, it captures objective biomarkers (e.g., pupil size and prefrontal neural activity) to outperform the conventional tests in sensitivity and cultural […]

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 […]