U of T Technology & Startup Explorer

Machine-learning based methods to improve traffic flow through adaptive signal control.

AI-powered cyber threat detection honeypot technologies for ICS, CPS, and IoT that actively engage attackers and draw out more information about their tactics, providing organizations with the intelligence they need to better defend their systems.

A synthetic chemistry method that uses vanillin as the starting molecule to yield a novel difunctional phosphorus-containing chemical compound that can be converted into various FR monomeric resins with reactive functionalities.

Materials and methods for ultra-high heat management in electronics and other critical components

This technology includes a suite of inventions, including a fully-functional coded-exposure-pixel (CEP) camera prototype, a novel programmable CMOS sensor, and a method for adaptive adjustment of exposure of every pixel, based on changes in the brightness of the scene for that pixel to extend dynamic range at native sensor resolution.

Based on thermal and optical sensing analysis of digital imaging, this technology allows for rapid measurement of photoplethysmogram (PPG), temperature, respiratory rate, and heart rate beyond conventional distance limitations (e.g. at distances more than 1m), with the ability to add other components (e.g. tissue oxygenation and blood pressure) in the future.

Bio-inspired microfluidic layers for switchable window shading.

Logic for relays that can be used to significantly improve the cyber-resiliency of communication-assisted protection schemes.

This technology is an optimized version of the Ring-Learning-With-Errors (RLWE) Fully Homomorphic Encryption (FHE) system. This proprietary system maintains encrypted data privacy of communications while still allowing cloud operations to be carried out on the encrypted data, such as Secure Search and Spam-Filter Applications.

Scalable, portable diagnostics for bacteria detection, molecular diagnostics, and immunoassays through microchip-based optical, electrochemical, ion, pH, and temperature measurements.

The invention is for a new power electronic converter topology suitable for modularly configured solar photovoltaic or battery storage applications

an optical atomic clock that is both precise enough to detect gravitational waves, and compact and portable enough that it could be put on a satellite. The clock design makes use of a “two-photon transition” in calcium atoms.

This invention is a platform to improve the functionality of the conventional surface plasmon resonance-based sensors.

A clinically-relevant stimulation system can induce directed migration (translocation) of neural precursor cells using asymmetric balanced biphasic electric fields.

iTest is a turn-key and modular software and hardware platform for testing physical motors remotely over the Internet.

This opportunity is a portfolio of hardware and software techniques that seamlessly accelerate AI/ML applications, while saving on-chip and off-chip memory, bandwidth, and processing power. These compute and compression methods have been shown to deliver a 3x boost in processing speed with 2x-4x increase in storage capabilities (up to 10x for natural language processing).

Invasive and non-invasive hardware and software for vital signs monitoring

Treatment of overactive bladder and other disorders via non-invasive electrical neurostimulation.

Quantum-proof cybersecurity products and enabling technologies for the Quantum Internet. These technologies offer quantum-safe communication products ready for today's infrastructure, while building key components of the Quantum Internet, including Quantum Repeaters, Quantum Communication Protocols, and Quantum Network Simulators.

Electronic Systems for Monitoring, Diagnosis, and Control of Physiological Disorders

Centivizer is a modular system that physically, cognitively, and socially stimulates individuals with dementia by providing self-initiated, reward-based activities that can be used 24/7 without needing caregiver support.

BinPro combines static analysis, graph matching and ML to detect and mitigate the threat of maliciously inserted backdoors by conducting binary source code audits.

The two inventions captured in this technology allow for the representation, learning, and interactive editing of color palettes through a novel interface for creating color themes.