Energy Storage Based Electric Vehicle Charging System – Integration to Grid

Proliferation of electric vehicles indicates the need for a large number of Fast-Charging station that can charge the EV battery within 10 to 15 minutes in contrast to the slow charging process which takes several hours. The fast charging stations themselves will be supplied from the host utility grid and consequently can impose significant burden […]

Read More
Ultrasound Device for Superficial Targets

This project intents to design and build a prototype for a device that uses low-intensity ultrasound for localized treatment of malignant skin cells. The industrial partner is interested on evaluate the performance of a current cosmetic device and the feasibility to use a device with similar characteristics to treat malignancy. We propose to first characterize […]

Read More
Testing of a Collar-Mounted Airbag to Protect Against Neck Injuries and Concussions

Hockey parents are worried about rising concussion rates. Currently no sports equipment protects against concussions. Hockey players aged under 18, must wear a neck guard for protection against skate blade cuts. Recently, a redesigned hockey neck guard, using an impact sensor and airbag technology was conceptualized. We want to test whether airbag inflation upon direct […]

Read More
Calibration-Free Continuous Pulse Oximeter Monitoring Using Deep Learning

Oxygen saturation, i.e. SpO2 is the fifth most important vital sign after heart rate (HR), body temperature (BT), blood pressure (BP), and breathing rate (BR). Oxygen saturation indicates if sufficient oxygen is being supplied to the body. Continuous SpO2 monitoring is highly beneficial for detection and prevention of several diseases. In more details, continuous SpO2 […]

Read More
Advanced Signal Processing and Machine Learning for BLE-based Indoor Localization

The Internet of Things (IoT) is a new emerging paradigm and is rapidly gaining ground in different applications of significant engineering importance including but not limited to smart buildings, and smart public environments. The main enabling factor of this promising paradigm is integration of identification, localization, and navigation technologies with smart hand-held devices equipped with […]

Read More
NLP Sales Assistant

The goal of this project that will be conducted in collaboration with Heyday is to create a technology that uses a given messaging platform (e.g. Facebook Messenger, web chat widget) that allows users to communicate easily and smoothly with their preferred brands or retailers. This technology should allow the automation of answers and interaction between […]

Read More
Auto-configuration of an autonomous farming vehicle using Machine Learning

Precision agriculture has many benefits especially for the developing world. Autonomous tractors and automatic planting systems have high accuracy, resulting in a substantially improved return on investment for growers, making food planting more economical. Moreover, the tractors can collect information on soil conditions, which can lead to improved maintenance of the crops, prevent blights, and […]

Read More
Developing Smart Price Forecasting Service for Supply Chain Procurement of Agri-fresh Produce Using Machine Learning

Loblaw Companies Limited (LCL) supplies all fresh produce (FP) to South Western Ontario stores from Waterloo Distribution Center (DC). DC decides prices and quantities to meet FP demand. Timed fair priced orders minimize waste, bring prosperity to growers, consumers and FP trades. Factors affecting prices are highly uncertain due to environmental and socio-economic effects such […]

Read More
Fly-By-Wire INDI-Based Generic Control Laws for Flexible Civil Transport Aircraft

On the one hand, new generation of civil transport aircraft can present aeroelastic coupling between flight mechanics and structural dynamics. The lower-frequency flexible dynamics can be perceptible by a fly-by-wire (FBW) controller. This requires control law design that takes into account the flexible dynamics. On the other hand, recent developments on feedback linearization by means of […]

Read More
Pure-sine GaN-based motor inverter

This project applies wide-bandgap (WBG) transistors to voltage level multiplier module (VLMM) topology in motor inverter applications. It is expected that this approach can yield the benefits of WBG motor inverters (high motor efficiency, fast control response, lower motor torque ripple, close to ideal sinusoidal motor current waveform, smaller filter size, lower cost filter, etc.) […]

Read More