Mild traumatic brain injury (mTBI) is one of the least understood neurological injuries. Increasing evidence shows that the effects of mTBI are not transient and may be associated with significant long-term consequences on brain function and may lead to long-term changes in the functioning of the brain with impacts on many areas related to information processing. Over a lifetime, repeated brain trauma is a significant risk factor for developing neurodegenerative disorders including Alzheimer’s disease (AD) and Parkinson’s disease (PD).
This research project aims to provide a robust account of school performance across Canada by collecting and measuring data on six critical indicators. These indicators are academic achievement, physical and mental health, social-emotional development, creativity and innovation, citizenship and democracy, and school climate. To address this inquiry, survey data will be collected and integrated with existing government data sources to aptly measure the six indicators.
I will be involved in two different projects with Pearson Education, 1) evaluate Knewton’s adaptive learningtechnology, and 2) assess the efficacy and improve the quality of the existing assessment tools and items. My proposalwill focus on the first project.The goal of the project is to evaluate the effectiveness and pedagogical values of Knewton’s adaptive learningtechnology, a technology meant to differentially help students depending on their needs.
This cross-sectoral research project will track the process of supporting four nascent community-based enterprises (CBEs) in indigenous communities in the Bolivian highlands, examining the complex interaction of factors that contribute to successful CBEs.
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.
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.