Ensuring biodiversity is maintained as Edmonton continues to grow is vital in maintaining Regional connectivity and ensuring long term sustainability of the City’s natural systems and the ecosystem services that it provides to Edmonton’s residents. The goal of this project is to identify public open space site characteristics that are associated with increased (or decreased) […]

This project focuses on the development of an automated system to detect images consisting of skin moles. The detection of images consisting of moles will play a central role in dermatology screening using telemedical and virtual healthcare platforms. Upon classification, images consisting of moles will be sent to specialists for further diagnosis and treatment procedures. […]

Combinatorial optimization problems widely appear in various social and industrial applications, such as the vehicle routing and transportation problems. They are challenging to solve for traditional computing. Moreover, especially in edge devices, there is a high demand for in-time response and low power. However, the large energy consumption for these numerous operations and data fetches […]

The main objective to be addressed is the identification and maintenance of diversified sources of funding available for ASBA. The methodology to be used will include conduction of surveys, interviews and customer observation. The intern is responsible for identifying unique and innovative tools available to be used in facilitating access to potential funding sources. These […]

Plasma activated water (PAW) is water that carries active species generated by cold plasm. Chemical species generated from plasma treatment are complex matrix consisting of free radicals and ions. Reactive nitrogen and oxygen species (RNOS) produced by cold plasma discharge with air as the working gas contribute to highly desired functionalities of PAW for a […]

RUNWITHIT Synthetics Inc., University of Alberta, and the interns in this Mitacs project will use synthetic modelling to design, optimize and trial approaches for improving the efficiency of resilience investments in technology, grid management and infrastructure. Under many different circumstances, including both natural and human-made disasters such as earthquakes and cyberattacks, traditional grids are vulnerable […]

Plants closely reflect the climate where they grow as they are immobile and must interact and adapt to the conditions of their environment. Given this relationship between plants and the environment, fossil plants can be used to reconstruct past environments, and groups of fossil plants more generally provide a valuable record of ancient climates and […]

In preparation for increasing its deployment of last-mile fibre, TELUS has engaged the University of Alberta to study the most efficient and cost-effective installation methods for Fibre-to-the-Home (FTTH) deployment where there are no existing telecommunications rights of way. The methods we will explore are divided into two categories: 1.) Direct Buried Methods (micro-trenching, Horizontal Directional […]

Reliable high-speed wireless data transmission is the primary goal of future cellular systems. A key impediment to achieving this goal is interference on receivers from transmitters in adjacent cells. This problem becomes even more challenging when the types of transmitters and cell sizes vary within a heterogeneous network (HetNet). The performance of users near a […]

The carbon intensity of Alberta’s grid electricity is the highest in Canada. The partner, BM Homes Ltd, designed and is building a low carbon solution for small mixed-use commercial buildings using advanced micro combined heat & power (mCHP) technology, aiming to reduce annual energy consumption by 22.7% compared to a reference building, designed according to […]

Swallow events classification is significant to improve the performance of swallow detection in digital health technologies. Our work consists of two major contributions: First, we perform data preprocessing techniques and transform the raw sEMG signals into feature vectors before using them to train an ML classifier. It is important for developing a data exploration project […]

While newer, advanced Filament Fused Deposition Modeling (FFDM) 3D printing systems for additive manufacturing of plastics products have been designed in order to increase rate productions similar to conventional plastic transformation processes. Up to the date hybrid configurations that can achieve for printing selectively high deposition rates without compromising part quality hasn’t yet been fully […]