The accurate localization of facial keypoints in static images, and their tracking in video has many potential applications. In this project we will address the problem of fine-grained facial keypoint tracking using multiple images and cameras, possibly including depth cameras. We have identified three potential partners, each of whom focus on applications that require the accurate localization and/or tracking of facial keypoints. In one potential application we are interested in detecting certain congenital syndromes using detailed facial analysis.

This project is aimed to develop novel catalytic system and process for production of valuable chemicals such as 1,3-propanediol and acrylic acid from glycerol. Glycerol is a byproduct of biodiesel production (10 kg of biodiesel yields 1 kg of glycerol). The production of biodiesel is expected to grow almost 7-fold from 3.8 MMTPA in 2005 to about 25 MMTPA in 2015. This increase in demand for biodiesel in the world market has increased the quantity of glycerol generated.

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.

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.

This project aims to determine

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

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.

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.

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.

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.

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.