The Characterization of Effective Dielectric Constant in Low Temperature Co-fired Ceramic (LTCC) Fabrication Process for Development of Advanced Millimeter-Wave RF Front End Systems and Components

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 millimeter-waves 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 […]

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Estimating Real-Estate Property Prices and Days on Market through Machine Learning

In collaboration with Western Canada Realty, we aim to develop a real-estate valuation online service for the Alberta real-estate market, especially for Edmonton. The product resembles Trulia and Zillow on a high level, which are real-estate price estimation web services in U.S. The system requires a backend that takes as input house pricing information from […]

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Material environments as metaphors: enhancing the well-being of people with dementia

The living environments have been increasingly considered as significant to the well-being of people with dementia in both research and practice. Addressing this, practitioners, including developers, operators, and architects who are in charge of the environmental creation of dementia care facilities, need to know the specific requirements of people with dementia, in order to apply […]

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Algorithms for Nonlinear Geometric Constraints in Vector Graphics

The University of Alberta proposes to hire an industrial postdoctoral fellow funded through the Mitacs Accelerate program to develop enhanced constraint equation solution methods and 3D graphical authoring tools in partnership with a local company in Edmonton, Alberta. The field of application is educational web software for creating randomized scaled mathematical drawings, delivered in an […]

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Recycling of Landfill Waste Plastics for the Manufacture of Fence Structures

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 […]

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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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Microbial modifying properties of iodinated water in animal production

The iodination of water has been identified as a means to improve animal performance, particularly in the poultry industry. Iodine has been used as an antimicrobial agent under several applications, however, it is unclear how water iodination results in improved animal performance. We hypothesize that iodinated water can improve performance either by reducing pathogen load, […]

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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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Development of new techniques for power system model validation and calibration

Dynamic modeling is one of the most important tools for the power system operation and planning purposes. In order to study the behavior of the system, which is subjected to disturbances, a valid knowledge of parameters of system components is essentially required. The objective of this project is to propose an applicable algorithm to identify […]

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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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Portable Sensor for rapid, onsite detection of bacteria in water

Harmful bacteria in drinking water can be a great threat to humans, causing diseases and possibly death. This project is aimed at determining the safety of drinking water for consumers, especially in communities where access to sophisticated laboratory facilities is limited. This research project will help to further develop a portable bacteria sensor for water, […]

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Responsible Development of Unconventional Hydrocarbon Reserves

Unconventional oil and gas resources are currently a significant portion of global oil and gas production and it is anticipated to continue its growth as production from conventional resources decline. Unconventional oil and gas resources include low permeability (“tight” resources e.g. shale), heavy oil and oil sands reservoirs amongst others. Economic and responsible development of […]

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