Big Data Cleaning

Poor data quality is a barrier to effective, high-quality decision-making based on data. Declarative data cleaning has emerged as an effective tool for both assessing and improving the quality of data. In this work, we will address some important challenges in applying declarative data cleaning to big data, challenges that arise due to the scale, complexity, and massive heterogeneity of such data. First, we will investigate the use of domain ontologies to enhance declarative data cleaning. Second, given the dynamic nature of big data, we will develop new continuous data cleaning methods.

Development of High-Performance Lithium-Ion Batteries for Electric Vehicle Application

Electric vehicles (EVs) are considered as next-generation automotive for green and sustainable transportation. Lithium-ion batteries (LIBs) are the most promising energy storage system for EVs among different available techniques. However, in order to power EVs on the road, currently commercial LIBs need to be greatly improved in terms of performance, safety, and cost, which are mainly dependent on the electrode materials.

The interaction of Cryptosporidium with aquatic biofilm systems

This project aims to determine

(1) whether Cryptosporidium development can occur under the very low nutrient conditions found in drinking water and

Establishing the seismic performance factors for reinforced concrete pedestals in elevated liquid tanks Year Two

The primary objective of this project is to establish the seismic performance factors for elevated liquid tanks. In addition, the nonlinear dynamic response behaviour of supporting towers in elevated liquid tanks when subjected to extreme dynamic loads will be investigated. A numerical approach which employs finite element technique as well as a probabilistic collapse analysis method is proposed.

Establishing the seismic performance factors for reinforced concrete pedestals in elevated liquid tanks

The primary objective of this project is to establish the seismic performance factors for elevated liquid tanks. In addition, the nonlinear dynamic response behaviour of supporting towers in elevated liquid tanks when subjected to extreme dynamic loads will be investigated. A numerical approach which employs finite element technique as well as a probabilistic collapse analysis method is proposed.

Management Strategy in the Digital Age: Exploring the Implications of Digital Media onSport Marketing

This project will explore the strategic and managerial implications of the growth of digital media in the Canadian sport industry, exploring the evolution of consumer behaviour, interaction, and engagement with digital media in order to provide a new managerial framework for marketing strategy. Organisations operating in and around sport have access to nearly unlimited data regarding the activities, interests, and behaviours of spectators, consumers, and participants.

Experimental and Theoretical Studies of the Effect of Texture and Microstructure onMagnetic Properties of Electrical Steels for Hybrid/Electric Vehicles

The purpose of the proposed research is to develop high efficiency electrical steels to be used in electric motors of hybrid vehicles. The work involves experimental and theoretical studies of the factors that determine magnetic properties of electrical steels and the effect of processing on these properties. The goal is to reduce the core losses and improve soft magnetic properties of the steels, through microstructure and texture control during thermomechanical processing involving the combination of cold rolling and annealing cycles.

Strength and durability testing for the doors and drawers of furniture and home appliances

This proposed research aims to test durability of doors of furniture and home appliances as well as drawers of the earlier by using robot manipulator to evaluate the quality and life-cycle of these products. Durability testing allows manufacturers to ensure product quality according to industry standards which gives them competitive edge through value-added brands. It also boosts their confidence on the aptness of their product, which in turn minimizes the chances of returned-products.

Long-dated foreign exchange interest rate hybrid financial derivatives: modeling,calibration, pricing, and risk-management

The proposed project addresses three major challenges in modeling long-dated (maturities of 30 years or more) foreign exchange (FX) interest rate (IR) hybrid derivatives, namely

(i) the strong sensitivity of the products to the skew of the FX volatility smiles,

(ii) their very long maturities, and

(iii) popular embedded exotic features, which provide possibilities of early termination of the products.

Multivariate statistical algorithms for optimal signal quality in simultaneous EEG-fMRI

When EEG is recorded inside an MRI scanner, the MRI equipment causes extra signals to show up in the EEG data. This is a bit like trying to understand someone's voice when they're using a microphone that's creating static and loud feedback. You would need computer software to separate the two sounds. In studies measuring EEG in an MRI scanner, we have the challenge of distinguishing between the part of the EEG caused by the brain and the part of the EEG caused by the scanner.

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