Machine Learning for the Telecommunication Industry

Ericsson is an industry leader in offering telecommunication solutions and products. As an important step on the path towards the automatic and autonomous management of next generation networks, Ericsson is developing technology in machine learning and artificial intelligence that will benefit operators around the world, including in Canada where Ericsson supplies technology to most of the major telecommunication network operators.

Wide Area Measurement Based Robust Damping Controllers for Power Systems with Embedded Power Electronic Devices - Year two

This research will investigate Wide Area Measurement based controllers for improving stability in systems with HVDC and FACTS devices embedded in AC networks. The approach will extend the candidate’s Ph.D. research which introduced a new method that is always able to guarantee improved damping of all modes in the face wide changes in the network. The approach will lead to controller designs which are robust against configuration or operating point changes, or communication loss.

Feasibility Study of Biometric Technologies for Calgary Drop-In & Rehab Centre Society

This project focuses on solving problems related to safety and security of clients and personnel of the Calgary Drop-in & Rehab Centre Society. Their IT department tasked the Biometric Technologies Laboratory Lab, University of Calgary with determining what biometric technologies can be used for identification of clients for access to services, to monitor the safety of both clients and the personnel. The Lab will investigate the feasibility of usage of infrared and video recordings of face biometrics for these purposes.

Precise-ITC Soft Decision forward error correction (FEC) for High-speed Optical Communications

Increased market demand for data and cloud computing is driving business for Precise-ITC corporation. As data bandwidth grows our customers are using advanced modulation techniques for fiber optic efficiency. Recovering the data from a modulated signal after signal impairment requires advance digital signal processing (DSP) algorithms that are able to adapt and cancel impairments in the network. Furthermore, forward error correction (FEC) could be used to improve error correction, enhance system reliability, and extend optical transmission distance.

Development of industrially scalable graphene oxide acoustic transducers

The excellent mechanical properties and its lightness make graphene a revolutionary material as efficient audio transducers for speakers and headphones. Several studies have reported the superior performance of graphene diaphragm in electrostatic and thermoacoustic transducers [1-2]. However, these graphene diaphragms are produced from expensive methods with low scalability and are not suitable for application in the more popular mechanical transducer.

Developing Tools to Track Vocalizing Marine Mammals with Long Baseline Hydrophone Arrays - Year two

My project aims to understand cetacean habitat use in remote areas along Canada's coast. Using acoustic data from an array of permanently recording hydrophones, I am developing software to automatically detect, classify, and localize different species of whales that use the area .
The acoustic network is located deep in the Great Bear Rainforest in northern British Columbia in thus in important habitat for Northern Resident Killer Whales, humpback whales, and fin whales.

Design of an EV Charging Infrastructure: DC Grid for High Density Plug-in Electric Vehicle Charging and other DC Loads-Phase II

West 5 community in London, Ontario, will pursue high penetration of electric vehicles, and is exploring an innovative marketing program of including them with the sale of each new condominium unit. The primary objective of this project is to determine an economical approach to create an acceptable infrastructure for these electric vehicles that will be desired by the community. The study will evaluate how to improve the efficiency of using Solar Energy to charge vehicles? battery and for other DC loads in the London West 5 community.

SWAVE Ultrasound Elastography

Organ health is often tested today by biopsy, which involves placing a needle into the body and taking a small tissue sample for analysis in a lab. Researchers at the University of British Columbia invented a new technique to measure the health of tissue without a needle. This technique is called Shear Wave Absolute Vibro-Elastography (SWAVE) and it measures tissue elasticity by recording the small shear waves that result when tissue is vibrated with a loudspeaker-like device pressed against the skin.

Visual enhancement in normal and abnormal visual system

Vision loss related to malfunctioning of the brain have always been believed to be unrecoverable in adults. Novel treatments, however, have shown the opposite. Visual stimulation is a computer-based system which devised visual stimuli are presented to participants. Transcranial Magnetic Stimulation is a non-invasive technique to deliver an electric current to the brain. Both treatments have shown promising results on recovering vision in participants with amblyopia (lazy eye) and in the ones who lost it following a stroke. We will study the benefits of combining these two techniques.

Wind Turbine Power Curve Modelling for Reliable Power Prediction Using Isotonic Regression and Different Loss Functions

Electrical power generation based on wind energy has been one of the fastest growing renewable energy sources. An important area of research in wind energy is to find different ways to improve the power reliability of systems. Modeling wind turbine power curve using past data is often used as an efficient way to use empirical power curve instead of manufacturer company power curve.
As wind-power data are often so noisy, fitted wind turbine power curves could be very different from the theoretical ones that are provided by manufacturers.