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 […]

Read More
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 […]

Read More
Bio-refinery of wastewater treatment in presence of CO2 utilizing micro-algae

A micro-algae bioreactor or photobioreactor can be used for cultivating micro-algae for the purpose to fix C02 or produce useable and commercial by-products. Specifically, micro-algae bioreactors can be used to produce fuels such as biodiesel and bioethanol, as a replacement to conventional fuel sources. The production of these biofuels also reduces greenhouse gasses as part […]

Read More
A One-Health approach to echinococcosis (Echinococcus multilocularis) in client owned dogs in Alberta: force of infection, risk factors, diagnostics, treatments and information

This project aims to determine prevalence rates of Echinococcus species tapeworms in domestic dogs and to compare these rates to those obtained from wild canids including wolves, coyotes, and foxes. This will shed light on infection rates and risk factors for both the human population and their pet dogs. This research will benefit Bayer as […]

Read More
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 […]

Read More
Treatment of Pulp and Paper Wastewater Using Aerobic Granulation Technology

The pollutants from pulp and paper mill effluents are toxic to plant/marine life. Harsh plans on tackling this issue by treating wastewater that comes out of these mills before it has a chance to affect the aquatic life in fresh water resources. Pulp and paper mill effluent, much like any other industrial wastewater, contains trace […]

Read More
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 […]

Read More
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, […]

Read More
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 […]

Read More
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, […]

Read More