Machine Learning developer intern working within cross-functional teams to develop and commercialize AI-powered solutions in the Public Services Healthcare sector (1)

AltaML builds artificial intelligence (AI)-enabled solutions to business problems. We work with organisations, bringing together their data and domain expertise with our AI expertise, to develop AI solutions that are deployed in their operations. We also commercialize AI-enabled products business via industry-specific ventures, yielding scalability from our investment in the first solution. Competition for tech […]

Read More
Cross modality image processing in cardiac and spinal images

With the advances of medical imaging, accurate diagnosis has been significantly enhanced, especially when utilizing cross-modality imaging for complicated diagnoses such as the spine and cardiovascular system. However, cross modality image processing poses a challenge due to large amount of data generated. Computer Tomography (CT) and Magnetic Resonance Imaging (MRI) images, for example, have great […]

Read More
Multi-tiered Threat Intelligence Service Development for a Managed Security Services Provider

With the increasing complexity and frequency of cyber threats, Managed Security Service Providers (MSSPs) like ISA Cybersecurity must continuously evolve their threat intelligence capabilities. This project proposes the development of a Multi- Tiered Threat Intelligence Service (MTIS) to enhance the detection, classification, and response to diverse cybersecurity threats. This project aims to fortify ISA Cybersecurity’s […]

Read More
Connector theory for entropy inequalities

Quantum entropy inequalities fundamentally limit how information can be distributed in a quantum system. However, it is an open problem to list and show all the entropy inequalities for the quantum setting beyond 3-party systems, which has proven extremely challenging both numerically and analytically. As the number of qubits we can experimentally initiate and control […]

Read More
Automated fault detection in commercial refrigeration systems

A refrigerant leak is one of the major contributors of commercial refrigeration unexpected breakdowns. Conventional methods of leak detection using physical sensors are expensive, have limited capability of square footage coverage, and incapable of detecting slow and progressive refrigerant leaks. Accordingly, the development of a smart leak detection system without the need to include additional […]

Read More
Automatic Quantification of Neutrophil Accumulation within the Alveolar Space in Lung Histology Images using Artificial Intelligence

This project aims to create advanced artificial intelligence (AI) tools to help scientists and doctors better understand and treat severe lung conditions, like acute lung injury (ALI). ALI is a serious condition that can lead to breathing problems and is often difficult to study because the current methods for analyzing lung tissue are time-consuming and […]

Read More
Civillian involvement in national security as a result of the Russian invasion of Ukraine

Project explores two key aspects of civilian involvement in national security: the evolution of Ukraine’s policies on civilian firearm ownership and the development of “Territorial Defence” institutions in Ukraine and similar “home guard” entities in Central and Eastern Europe, as well as the Nordic/Baltic region. The goal is to understand how these elements contribute to […]

Read More
L’insécurité linguistique chez des enseignant.e.s de français langue seconde et étrangère: une étude comparative Brésil-Canada

Si la recherche est abondante à étudier l’insécurité linguistique chez les locuteurs ayant le français comme langue maternelle, moins nombreuses sont les études intéressées au phénomène chez les locuteurs de français langue seconde et étrangère (FLSE) et particulièrement chez les enseignants de FLSE. Pourtant, quelques études suggèrent que ceux-ci subissent de l’insécurité linguistique en raison […]

Read More
Machine Learning-Based Modeling of Spreading Dynamics in Complex Interfacial Systems

Understanding droplet interactions with surfaces is crucial for large-scale oil recovery, coating industries, and microfluidic devices. To address the remaining challenges, including the need for a universal timescale and improved theoretical and computational models, this project brings together the SoftSimu group at Western University and the Soft Materials Modelling (SMM) group at Aalto University, Finland. […]

Read More
Developing Smart Technologies for Aging in Place at Home

Transitioning patients from hospital to at-home care is vital for health care operations. However, there is a general concern that these at-risk populations would not be receiving the same level of care at home as they would in a dedicated medical facility. Elderly populations experience a significantly higher risk of readmission after discharge from acute […]

Read More
Development of Bio-material based Nanocomposite Thermoelectric Generator

Thermoelectric systems can produce electricity using temperature difference and heating/cooling effect using electricity. Thermoelectric systems are basically combination of p and n-type semiconductor materials. Thermoelectric systems have many advantages such as, environment friendly, no moving parts, silent in operation, and long service life. However, at this stage thermoelectric systems have very low efficiency so they […]

Read More
Smart Textile Development for Health Monitoring

This project aims to develop a smart textile-based solution for early detection and management of sleep apnea, a condition that significantly impacts health, especially in those with chronic illnesses like heart failure. Traditional diagnostic methods are often inconvenient, uncomfortable, and expensive. To address these challenges, the project focuses on creating a comfortable, non-invasive, and cost-effective […]

Read More