Evaluation Capacity Network: Aligning Evaluative Thinking and Practice among Early Childhood Stakeholders

This project aims to provide evidence and research support to BGCBigs in the implementation of their Building an Evaluation Framework and Capacity for Sustainability project. BGCBigs recognizes that achieving their goal of ‘supporting our children and youth on the path to success’ depends upon an organization committed to evaluative thinking, learning and utilization of evidence […]

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Upgrading of Hydrofaction™ Oil to transport fuel blendstock

Hydrofaction™ is Steeper Energy’s proprietary hydrothermal liquefaction technology that converts low value biomass residues to renewable crude oil using supercritical water and homogeneous catalysis. Steeper Energy Canada (SEC) is focused on identifying optimal pathways for upgrading Hydrofaction™ Oil into renewable diesel and jet fuels. Amidst plummeting crude oil prices, such renewable fuels still command attractive […]

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Laboratory and Field Assessment of Performance of Treated Wildland Vegetative Fuels

The proposed project will assess and quantify the energy transfer from wildland fires as it relates to coverage of vegetative fuel with wildland fire chemicals for protection of wildland/urban interfaces. The project will extend on preliminary work on the relative performance of wildfire chemicals (e.g., water, gel, foam, and long-term retardants) on forest vegetation. The […]

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The Challenges of Curating Latin American Cinema in the 21st Century

Curatorial studies is a well-established field of research in the visual arts. However, curating and programming are probably among the most understudied areas in film and media scholarship. While I participate in defining the official selection of Latin American movies for the 2017 edition of the Toronto International Film Festival, I will gather tools to […]

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Ground Spatial Filtering in Near-Field Scanners

Near-field measurement is a key and inseparable part of Antenna characterization and electromagnetic diagnosis applications. Providing a fast method to perform this type of measurement will be of significant added value to the RF industry. Traditionally, near-field measurements are performed inside an echoic chambers and using a mechanically sweeping probe. This type of measurement is […]

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Applied Machine Learning for Malware and Network Intrusion Detection

Wedge Networks is a leading cybersecurity solution provider in Canada. In this project, we aim to investigate the application of statistical machine learning and deep learning to cyber threat detection, aiming to detect both network intrusions and malware binaries transmitted in the network. Based on the big data collected from Wedge’s system logs and anonymized […]

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Learning representations through stochastic gradient descent by minimizing the cross-validation error

Representations are fundamental to Artificial Intelligence. Typically, the performance of a learning system depends on its data representation. These data representations are usually hand-engineered based on some prior domain knowledge regarding the task. More recently, the trend is to learn these representations through deep neural networks as these can produce significant performance improvements over hand-engineered […]

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Classical Ayurveda, textual and critical studies

My proposed research deals with the traditional Indian medical system called Ayurveda. Ayurveda not only played a major role in the healthcare of ancient and medieval India, but it also plays a major role as a Government-supported health care system in contemporary South Asian societies. Furthermore, internationally, ayurveda therapies and practices (which are manifold) have […]

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Learning tools to predict treatment responses for schizophrenia from neuroimaging data

Schizophrenia is a chronic mental disorder associated with a significant health, social and financial burden, not only for patients but also for their families, and society. However, the current treatment methods have been only partially successful, mainly due to the inter-individual differences between patients, which means that a treatment that is successful for one patient, […]

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Energy metabolism modelling with sensitivity to activity thermogenesis tracking data

This research initiative aims to develop more accurate mathematical models of human energy metabolism. The company FitMyLife Health Analytics aims to use the models to help its customers establish behaviour patterns to achieve health goals, such as increased fitness, increased health and weight loss. The models ensure that customers’ decisions are rooted in an accurate […]

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Developing a citizen science application for monitoring biodiversity

The Alberta Biodiversity Monitoring Institute (ABMI) monitors biodiversity across Alberta. ABMI has developed an application called NatureLynx to facilitate the collection of natural history observations by broad stakeholders, including the public. This application will enable people who are not professional scientists to participate in the process of collecting data; this is called citizen science. Initially, […]

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