The proposed project aims to enhance groundwater resource management in previously glaciated areas, focusing on a case study from Guelph, Ontario. Groundwater plays a vital role in various applications, including drinking water and industrial processes, necessitating a deep comprehension of subsurface dynamics. However, creating accurate geological models for groundwater modeling and contaminant remediation remains challenging, […]

Healthcare providers spend more and more time in front of computer screens reviewing notes and searching for information, and less and less time developing meaningful relationships with patients. Emerging technologies like ChatGPT may be able to reverse this dynamic and free up clinicians’ time and reduce wait times for patients. This project will assess the […]

As the conservation sector moves forward to support Canada’s international commitments to protect the environment and honour Indigenous rights, there is increasing interest in pairing Indigenous with mainstream knowledges. Etuaptmumk, or Two-Eyed Seeing in Mi’kmaw as introduced by Elder Albert Marshall, offers a way to do this by leveraging the strengths of both indigenous and […]

Several popular OT security frameworks have been developed to help organizations protect their critical infrastructure and industrial control systems from cyber threats. Two of the most popular standards include ISA/IEC 62443 (formerly ISA 99) and NIST SP 800-82 Rev.2 (ICS Security Guide). The purpose of this project is to use an existing OT infrastructure to […]

In daily tasks such as driving or walking down the street, our visual system must select a subset of information to attend to while filtering out unnecessary information. Failure to filter out distractions can have dire consequences (e.g. injuries, collisions), and little is known about the cognitive mechanisms that govern attentional control or how to […]

This project involves assisting with Digital Identity Transformation Programs by conducting business requirements gathering and cybersecurity assessments. The main focus is on implementing top-tier identity solutions to enhance identity and access management (IAM). The research objectives include developing IAM assessments to evaluate the current state of IAM within client organizations. This will inform the development […]

Herd Navigator (HN) is a “precision technology” for dairy cow management based on in-inline milk sampling and advanced data analysis. This system has recently come to market in Canada. The proposed project will combine analysis of data from the HN system and controlled field trials to develop and validate best management practices for health, production […]

One Health is a collaborative approach between multiple stakeholders working together to manage large scale issues that impact humans, animals and the environment. This method has never been used with smaller scale, regional issues before. A new framework developed by the Canadian Animal Health Surveillance System (CAHSS) has the potential to adapt One Health principles […]

Many lessons from previous pandemics help to guide future outbreaks. This project reviews the avian influenza outbreak in Canada and applies some of the lessons learned to help mitigate the potential outbreaks of African swine fever and foot and mouth disease using a One Health approach.

Disability arts is a field of artistic practice and cultural production that is revolutionizing approaches to accessibility and inclusion and providing a critical intervention into Canada’s arts and culture sector. I position this field as an ecology made up of different participants, resources, processes, materials, and networks. My research recognizes an urgent need for disability […]

Salmon aquaculture loses money when the salmon being farmed are infested by small parasites called “sea lice”. In Newfoundland Atlantic salmon aquaculture farms, the most common type of sea lice is the salmon louse. They can greatly reduce the number of salmon produced and cause health issues for the salmon. To manage the sea lice […]

Analysis of customer service call transcripts can be challenging due to high volumes of unstructured textual data. To overcome this challenge, Co-operators Insurance Group seeks to explores the application of large language models (LLMs) such as GPT3 in analyzing call transcripts to extract structured data to be used in further modelling. Specifically, the project aims […]