High-Fidelity Data Converters for Medical Diagnostics

Diagnostic medical devices work by translating our vital signs, such as neuron electrical activity and brain waves, into digital data that can be manipulated by a computer. High-speed computer processing improves diagnoses by presenting the physician with a numeric or graphical readout of important features extracted from the signal. Often, the ability of computer programs to extract the most diagnostically-relevant information is limited by how well the device can recognize and ignore background electrical noise common in clinical environments.

Development of a simulation model for prediction of performance of a novel positive airway pressure (PAP) machine for treatment of sleep apnea

The gold standard of treatment for patients with sleep apnea are Positive-airway-pressure (PAP) machines. PAPs provide a one-size-fits-all solution of providing the same therapy in terms of airflow to every patient and every breath. This causes frustration and discomfort for patients, therefore patients don’t purchase PAPs or purchase and don’t use them; leading to 4 times higher chances of stroke and 3 times higher chances of heart attacks as well as huge costs on the healthcare system.

Development of longwave IR colloidal quantum dot solar cell and Development of high throughput characterization methods for solution processed IR colloidal quantum dot solar cells

The potential candidates will help QD solar develop a nano-technology based solar cell using Colloidal Quantum Dots. The research will be focus on the Infrared (IR) portion of the sun’s energy spectrum where standard silicon solar cells are not effective at converting solar energy into electrical energy. More specifically this project will target longwave IR and when combined with QD Solar’s focus on shorter wavelength IR, will create a more complete offering to the marketplace.

Mix-and-Match Pipeline to Ease the Creation of New Facial Models for Video Game Applications

Ubisoft has an extensive database of character’s heads represented as polygonal meshes. Those come from two primary sources: processed 3D scans and models made by artists. It would be convenient to use this database to mix-and-match parts of characters to create new human-like character heads. Let’s say we wish to replace the nose of one character with another nose. We want the junction between the nose and the surrounding areas to be as seamless as possible while accommodating for the new nose, which could have a different size.

Ultra-low power connectivity platform for low power Internet of Things (IoT) sensor nodes

In this project we address the problem of power consumption for wireless sensor nodes. This is where among different components of a sensor, RF transceivers consume a significant amount of power e.g. approximately 80%. Hence the main objective is this project is to tackle the power consumption problem at the RF transmitter, where we aim to reduce the power consumption to micro-watts of power, with minimal sacrifice in achievable data rate and by keeping the connectivity range within an acceptable radius.

IEC 61850-Based Centralized Intelligent Station-Level Protection for Power Systems with Multi-Technology Distributed Energy Resources

Protection systems perform vital function in power distribution systems to ensure safety of public and equipment during network faults, and usually designed assuming a single power source supply. Distributed Energy Resources (DERs) are fast becoming an integral part of most Electric Power Systems around the world. Improvement in reliability, efficiency, power quality, and reduction in greenhouse emissions are some of the reasons behind this.

Network Traffic Classification for Cyber Threat and Malware Detection

Bell’s Cyber Threat Intelligence (CTI) team is collaborating with academic institutions in order to further research and develop cyber security analytics for the protection of critical infrastructure and data. The focus of this research is to create and leverage a traffic classification project specifically for network security purposes. This research to design distributed algorithms fast enough for analyzing massive high-dimensional
data generated by network traffic to detect cyber threats/ attacks and anomaly in the network.

Developing a new magnetic sensor for application in biosensing and surveying - Year 2

Detecting subtle chemical and physical changes occurring at the early stages of chronic disease and many other infectious diseases caused by harmful bacteria is still a challenge, as ultra-sensitive sensors with large signal-to-noise-ratio are required to detect them. We recently explored new ways to enhance the sensitivity of magnetic nano-sensors and theoretically demonstrated that under optimum design conditions, the sensitivity can be improved by up to a thousand - higher than any of the biosensors currently available on the market.

GPU platforms for highly parallel EMT simulation - Year 2

A parallelized electromagnetic transient (EMT) simulation tool for power system transients will be developed in this research to accelerate the internal computation process. An EMT simulator uses a highly detailed representation for the Electromagnetic transient (EMT) simulation is a widely used and most accurate tool for power systems network simulations. EMT simulation is very important for various design, testing and analysis of power systems networks involved in generation, transmission and distribution of electrical energy.

Calculation of the induced voltage between overhead transmission lines and adjacent gas pipelines via electromagnetic transients simulation

The candidate will utilize his knowledge and experience in transmission line modelling to implement test cases required by BC Hydro to validate the results of measured induced voltages between the transmission lines and gas pipelines. The simulations will be performed using well-known computer packages available at power laboratories of the University of British Columbia as well as computer programs written by the candidate to implement the recently developed line model in his PhD work. Simulation results will be compared with the measurements.