Data-Driven Disaggregation of HP Loads in Transmission Systems with Limited Data

This project develops AI- and data-driven methods to improve visibility of heat pump (HP) loads in power grids. By disaggregating HP consumption from aggregate smart meter and grid data, it will support accurate demand forecasting, reliable grid operation, and planning for heating electrification in cold climates, contributing to reduced greenhouse gas emissions.

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Porous Structure Modeling

This project focuses on developing better computer models to predict how recycled concrete can store and transfer heat for use in thermal energy storage (TES) systems. Instead of relying only on expensive and time-consuming experiments, the project will create more accurate and efficient simulation methods that can speed up the design of sustainable energy storage […]

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Advanced Optimal Production Scheduling for Salt Manufacturing at Compass Minerals

This project develops a decision-support tool to improve production scheduling at Compass Minerals’ salt plant in Goderich, Ontario. The plant makes multiple grades of salt on connected production lines, facing changing demand and tight operational limits. Currently, schedules are created manually or with simple rules, which limits flexibility and efficiency. We aim to build an […]

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Next Generation Cybersecurity – Guiding Human-AI Collaborative Intelligence & Work Transformation in Security Operations Centre (SOC) – eSentire – U. Waterloo

Our research focuses on the critical intersection of artificial intelligence and cybersecurity operations, specifically examining how AI tools can be effectively integrated into Security Operations Centre (SOC) workflows. As cyber threats become increasingly complex, we investigate the delicate balance between leveraging AI automation and maintaining human expertise in threat detection and response. Using Cognitive Task […]

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Optimization and Scale-Up of a Biomanufacturing Process for Anellovirus-Based Vectors for Gene Therapy Applications

Gene therapy is a cutting-edge treatment that can fix or replace faulty genes to treat diseases, but producing the necessary gene delivery cargo, called vectors, is currently expensive and complex. Many of today’s vectors also trigger immune responses in patients, limiting their efficacy. This project explores a new type of vector made from a harmless […]

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Platform Governance and Gendered Misinformation

The Centre for International Governance Innovation (CIGI) is a leading think tank focused on developing policy solutions to address the governance challenges of emerging digital technologies. My proposed research directly supports CIGI’s core areas of digital governance, platform regulation, and misinformation policy by analyzing how extremist and gendered misinformation adapts within the affordances of digital […]

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Novel Machine Learning Visualization of Threat Analysis for Cybersecurity Operations

This project will combine graduate level research expertise with best-in-class managed detection and response security operations, to develop ‘collaborative intelligence’ oriented tooling, in order to support Security Operations Centre (SOC) personnel in rapidly assessing the threat potential of suspect command lines and similar text objects. From a recent analysis of SOC AI usage, it is […]

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Identifying climate change resilient habitat using an integrative machine learning and coupled microclimate-biophysical modelling framework

Loss of biodiversity is occurring at unprecedented rates with an estimated 1 million species facing global extinction. Canada has the second largest area of intact natural landscapes and, therefore, a responsibility and opportunity to be a global leader in biodiversity conservation. Yet, Canada is facing a biodiversity crisis that particularly targets reptiles, one of the […]

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Dynamic polymer additives for recycling polyvinylchloride

Polyvinylchloride’s (PVC’s) exceptional mechanical properties and chemical stability make it an ideal material for applications in infrastructure. The PVC pipes that are widely used in municipal water systems, irrigation, and industry are sustainable, long-lasting, and resistant to weathering and leaking. Yet, degradation during recycling makes PVC exceedingly difficult to recycle, limiting its sustainability. Phthalate plasticizers […]

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Polysaccharide (PS) materials for managing cholesterol and diet–induced obesity (DIO)

High plasma cholesterol (hypercholesterolemia) is a potential consequence of obesity that is becoming a major public health challenge. Excess caloric intake without a corresponding increase in energy expenditure is believed to be the major contributing factor to weight gain among Canadians leading to hypercholesterolemia. This ‘silent killer’, hypercholesterolemia is characterized by increased low-density lipoprotein cholesterol […]

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5G-LEAP – Flexible Open RAN Platform for 5G and beyond networks

5G and beyond mobile networks are expected to support a variety of emerging use-cases, such as holographic telepresence, immersive extended-reality, cloud gaming, and autonomous driving. Such a diverse set of services imposes strict requirements on the mobile network along several dimensions, such as throughput, latency, and reliability. Network slicing has been envisaged as a key […]

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Cascadia Climate Resilience Society – Knowledge Mobilization

This Mitacs internship project supports the Cascadia Climate Resilience Society, a non-profit organization dedicated to advancing climate adaptation and disaster risk reduction (DRR) in British Columbia through cross-sector dialogue and collaboration. The Society convenes scientists, policymakers, practitioners, Indigenous leaders, and community organizations through initiatives such as the annual BC Climate Resilience Summit (BCCRS), building on […]

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