Driver Behaviour Analysis Using Accelerometers on Android Devices

The objective of this project is to develop a software solution that can analyze the accelerometer data on android devices and report certain metrics of a moving vehicle related to road safety and driving conditions. The reports can then be used for immediate call for action in case of detecting an emergency or collecting the […]

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Using multi-modal data and self-supervised approaches for machine learning in healthcare

This research project aims to address the growing interest in predicting clinical outcomes using machine learning (ML) approaches applied to Electronic Medical Record (EMR) data. The primary objective of this study is to develop representations of both EMR and text data found in medical notes using current state-of-the-art ML techniques. In particular, this research proposes […]

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Robotic-based methodology for synthetic seizure dataset generation for machine learning-driven medical devices.

This research project aims to improve epilepsy treatment by developing a robotic-based method for testing wearable seizure detection devices. The project will create a robotic system that can simulate seizures, providing realistic data to help refine and test machine learning algorithms for detecting seizures more accurately. The goal is to address the limitations of current […]

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Automating Insider Threat monitoring and detection

Advanced persistent threat (APT) groups, as well as those sponsored by a nation-state, often aim to gain undetected access to a network and then remain silently persistent, establish a backdoor, and steal data, as opposed to causing damage. APT groups use different tactics, techniques, and procedures (TTPs) at various stages of cyberattacks. The continuous and […]

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AI Based Script Builder for Web Payments

To conduct research and provide a feasible solution to create an AI-based script builder to automate the company’s pay-by-web transaction process. The pay-by-web transaction process includes many steps. These are steps such as extracting data from different sources and monitoring email inboxes as well as verifying payment information. The process also involves identifying the correct […]

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Kanonhkwa’tsheranákere, Where the Medicines Are: Creating an Indigenous biocultural atlas and ethnobotanical field guide grounded in decolonial methodologies

This landmark project was built by Dr. Jessica Dolan with leadership at the Indigenous organization Plenty Canada, and the Conservation Through Reconciliation Partnership team at University of Guelph. Working closely in collaboration with Haudenosaunee and Anishinaabeg educators and culture-bearers, the team is combining plant biology surveys in the Greenbelt region of Southern Ontario, with historical […]

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Assay development for point-of-care COVID-19 antibody detection

A key requirement for returning to societal and economic normality is the evaluation and surveillanceof SARS-CoV-2 infection and immunity. The proposed technologies described herein, enable a safe and effectivediagnostic test that can quickly provide an easily interpreted result for SARS-CoV-2 immunity, all without complicated equipment, expensive reagents, or high-level biosafety containment facilities. Such a system […]

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Applying Natural Language Processing to Explore the Development of Automated Scoring and Feedback Models for Multi-Speaker Science Discussions

Many components of education, including those to support teacher and student learning, are now online and fully digital. But to make productive use of these data sources, the field needs to have a better understanding of what teachers and students do and how they respond to online assessments designed to build and measure complex constructs. […]

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Optimizing Security Orchestration, Automation, and Response for Incident response

This research project aims to develop cost-effective solutions to aid organizations in defending against cyber-attacks. With limited resources, security operations centers are struggling to defend against the vast volume of cyber-attacks. The project proposes reducing the work effort and amount of labor needed to perform tasks such as manual inspection and incident responses. By enhancing […]

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Command and Control Automation and Reporting

A red team is a group of cybersecurity experts who are tasked with simulating real-world attacks on an organization’s systems and networks. They do this by using a variety of tools and techniques to identify vulnerabilities and weaknesses in an organization’s defenses. This project implements command-and-control infrastructure, which is critical for the red team or […]

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Application of Machine Learning and Data Science for classification of BDD (Behavior Driven Development) Test Development and Execution

Continuous integration (CI) and continuous delivery (CD) are practices that help software development teams deliver code changes more often and with fewer issues. To ensure that code changes are working as they should, developers use Behavior Driven Development (BDD) tests. But running all these tests against every code change can be time-consuming and costly. This […]

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Cloud Hosting Cost Optimization

The proposed research project will focus on analyzing and optimizing the cloud infrastructure used by SOTI to manage mobile devices globally. The intern will analyze the current cloud architecture and hosting costs, identify areas for improvement, and propose and implement optimizations to reduce system requirements and minimize costs. The expected benefit to SOTI is a […]

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