Point-dendrometers for ecosystem growth and health

Point dendrometers are indispensable for monitoring tree growth and detecting stress in forest ecosystems, offering detailed insights into cambial activity and environmental responses. The project’s goal is to harness machine learning to address data gaps and enhance the precision of trend detection in dendrometer data. This approach will also seek to identify signals of ecosystem […]

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Interpretation of Electrical Resistivity scans with the assistance of Machine Learning

The proposed research aims to use Machine Learning Methods to interpret data obtained during the Electrical Resistivity scans in the delineation of Fracking Sand deposits in Western Canada. Traditional exploration for sand deposits involves pricey and not always efficient auger and sonic drilling on the entire investigated Property. Currently, costs associated with those operations are […]

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Exploring Medication and Healthcare Trends in First Nations: A Data Integration Approach

The First Nations Health Atlas aims to comprehensively analyze diverse administrative datasets from Alberta Health and Alberta Health Services to produce holistic analytics for First Nations health in the province. The initiative’s core objectives include establishing a comprehensive roster of First Nations individuals from Bigstone, Siksika, and Maskwacis nations, analyzing disease incidence and prevalence, scrutinizing […]

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Large-scale 3D-vision-aided hybrid manufacturing system for welding, overlay and maintenance operations

The primary objective of this project is to develop a comprehensive additive/subtractive manufacturing system encompassing hardware, sensors, and software for the automated production and repair of non-critical custom industrial equipment. This innovative system integrates AI and 3D computer vision to provide robust control, continuous monitoring, and effective failure identification. Featuring a groundbreaking PC/PLC-based communication architecture, […]

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Development, and In vitro and In vivo evaluation of thermoresponsive bioreductively-activated nanotheranostics

Cancer management continues to be a global problem (WHO report 2022) – mainly because cancerous solid tumors (found in more than 40% patients, and in all types of cancer) become metastatic, therapy resistant and poor-responding to conventional chemo-/radiotherapy due to a condition called hypoxia (tissue with low levels of oxygen). Due to poor tumor vasculature, […]

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Alberta Parent Survey: Perspectives on Early Learning and Care

The Edmonton Council for Early Learning and Care, the Muttart Foundation, the Community- University Partnership for the Study of Children, Youth and Families, and the United Way Capital Region partnered to survey Alberta parents/guardians about their early learning and child care arrangements from May to July 2022. Data were collected from 1,479 parents. A series […]

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HandCOMM: AI Solution for Crane & Workers’ Safety

The construction industry heavily relies on mobile cranes for the off-site modular construction, emphasizing safety in operations. Despite standardized hand signals, inadequate and interrupted communications between mobile crane signalmen on the ground and crane operators pose significant risks of accidents, especially during blind lifts or lifts in severe weather. This research project aims to develop […]

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Animal Recognition From Natural Scene Images

With the development of imaging technology and research progress on wildlife monitoring, camera trapping becomes one of the best ways to record the presence and activity of mammals in a given area. The approach to monitoring wildlife can assist people in the community with decision making about preserving biodiversity. Camera trapping generates a huge volume […]

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AI in Ophthalmology triage automation

Access to specialist care, especially in rural and remote locations, is a growing challenge in Alberta. Patients with conditions such as age-related macular degeneration, diabetes, and macular edema must travel to large urban centres for assessment by retinal specialist ophthalmologists. Assessment typically requires OCT imaging, which is now broadly available through optometrist offices across the […]

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Fund Student Operations Project

The operational framework of the University of Alberta Innovation Fund has been structured with a specific mandate to actively engage students. Sara Moore is set to spearhead the project, focusing on comprehensive development in all aspects of student involvement, encompassing management and organizational structuring.

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Using AI and ML to advance frailty detection and management

The combination of aging alongside chronic conditions such as primary biliary cholangitis leads to accelerated muscle mass loss that impacts physical function. At advanced stages, this is termed frailty. Frailty is one of the strongest predictors of poor clinical outcomes including death. In this project we will use multidimensional digital health data and artificial intelligence […]

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Innovation Due Diligence Project

The initiative is dedicated to the refinement and enhancement of the University of Alberta Innovation Fund’s deal flow procedural framework, specifically concentrating on the systematic identification of emerging enterprises within the ecosystem. The primary objective is to streamline the transition of innovative concepts from theoretical inception to practical implementation – The fund facilitates this by […]

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