Petroleum-based plastics are recalcitrant and pervasive environmental contaminants. Recycling only recovers 9% of post-consumer plastic, the rest is landfilled, incinerated, or discharged into the environment. While most plastic recycling methods convert plastic into lower value products, biocatalytic plastic depolymerization to component monomers then available for resynthesis of valuable products is an attractive alternative. Biocatalyst-based recycling […]

This project aims to create new types of hydrovoltaic generators, which are devices that produce electricity from small amounts of moisture in the air or water. While these generators are promising for clean energy and water treatment, current versions are not durable enough and cannot adapt well to changing environments. By combining my expertise in […]

This research project explores how agentic AI—autonomous AI agents with the ability to perceive, reason, and act—can be designed and deployed within recommendation systems to proactively identify and counteract shilling attacks. These attacks involve malicious users injecting fake reviews or ratings to manipulate recommendations. The project aims to develop an adaptive, multi-agent, Agentic AI-driven model […]

Newborn calf health is a major challenge, with digestive disorders being one of the main causes of illness, leading to antimicrobial use in the first week of life. While colostrum provides immune factors needed to achieve passive immunity, it also contains prebiotic sugars called oligosaccharides (OS). These sugars are under researched in calves but are […]

Stratospheric balloons operate above more than 99% of the Earth’s atmosphere, allowing astronomers to observe colours of light that would otherwise be blocked or blurred by the atmosphere at only a tiny fraction of the cost of an equivalent space telescope. However, it is very challenging to ensure that to telescopes are pointing the right […]

Vision-language models (VLMs) are considered augmentations of text-only large language models (LLMs) with additional access to the visual world. However, it is known that VLMs typically perform worse than text-only LLMs on reasoning tasks that involve only text (e.g., math word problems), raising the question of whether the benefits of visual augmentation justify the loss […]

Ventus Analytiques Inc. is a Canadian technology company specializing in offshore data systems and analytics, with a focus on marine environmental monitoring and renewable energy. As the company scales its operations and prepares for international deployments, there is a growing need for a cohesive cloud infrastructure and data operations strategy that can support a global […]

This research investigates the fusion of multi-source geospatial data to overcome key scaling limitations in automated property assessment. The primary research problem addresses object occlusion in satellite imagery, where features can obscure ground-level surfaces and prevent accurate area measurement. We propose and evaluate a novel machine learning approach that geometrically fuses satellite imagery with ground-level […]

This project explores how countries are managing the shift from fossil fuels to clean energy, with a focus on just energy transitions that aim to provide an equitable transition for workers and local communities. The research focuses on Colombia’s national state-led just transition plan. By conducting on-the-ground fieldwork, the project will examine whether the financial […]

TicketWindow Inc. is a Canadian ticketing company providing digital event management solutions to promoters, venues, and organizations. Its new platform, EventLinx, is a comprehensive, cloud-based event management ecosystem that includes a promoter portal, patron website, mobile point-of-sale (POS) application, and administrative backend. The system is deployed via edge computing infrastructure using Cloudflare Workers and Pages, […]

This project aims to develop an AI-powered visual inspection system using image data from P&WC’s existing Computer Vision Inspection System (CVIS) to enhance aircraft engine assembly issue detection. By leveraging deep learning techniques, the proposed solution will address current limitations in accuracy and consistency, targeting a 100% visual detection rate for anomalies such as: part […]

Many athletes and patients use blood-flow-restriction (BFR) cuffs to make light-weight exercise feel like heavy training, but no one is sure why this type of exercise causes improvements similar to traditional exercise. Is it because the cuff blocks oxygen from entering the muscle, or because it traps byproducts (metabolites) that signal the muscle to grow? […]