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 […]

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 […]

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, […]

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 […]

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, […]

Agriculture/ Agri-Food Canada (AAFC) and Campbell Scientific Canada (CSC) have been operating an “eddy covariance” (EC) meteorological tower near Lacombe, Alberta that measures the flux of carbon dioxide (CO2) between agricultural fields and the atmosphere. This tower provides data that is used to assess plant growth and decomposition across fields which is critical for understanding […]

Noise interference is often a major challenge in signal recognition. In this project, our goal is to monitor ground and infrastructure movement based on data acquired using smart sensor technology. While related works have been extensively discussed in the literature, our contribution lies in exploring a reverse engineering procedure to remove noise from raw captured […]

Data-Over-Cable Service Interface Specifications (DOCSIS) 3.1 is a technology that utilizes orthogonal frequency-division multiplexing (OFDM) technology to provide downstream (DS) transmission capacities of up to 10 gigabits per seconds (Gbps), as well as orthogonal frequency-division multiple access (OFDMA) technology to provide upstream (US) transmission capacities of up to 1 Gbps per channel. Full duplex (FDX) […]

International Financial Reporting Standards (IFRS) for loss allowances are changing, and financial institutions are proactively adapting existing methodologies and developing new ones to remain compliant. The main ingredient in the myriad of evaluations that banks are required to perform for compliance is risk assessment. The first goal of this research project is to review best […]

The project examines the use of recycled plastics sourced from waste landfills for construction and infrastructure applications such as fence panels, an idea developed by EcoFence. Through the course of this project a comprehensive study is conducted to evaluate the mechanical and physical characteristics, such as strength and sound absorption. The measured data is compared […]

For the management of neuromuscular disorders (NMD), subcutaneous immunoglobulin (SCIg) administration has become an alternate option, being a home-based alternative to conventional intravenous immunoglobulin (IVIg), with a comparable efficacy, minimum adverse effects and significant improvement to the quality of life. With the increased cost of healthcare management, it has become more challenging for clinicians and […]

High frequency millimeter-waves are quickly becoming essential for many industrial and commercial applications including high resolution automotive radar and high-speed wireless communication systems. While millimeterwaves offer many benefits, they also introduce new engineering challenges, due to the smaller wavelengths and dielectric properties of materials at high frequencies. One of the primary challenges relates to the […]