This project aims to advance the commercialization strategy of a closed-loop microneedle-based biosensing platform for real-time therapeutic drug monitoring. The technology integrates hydrogel microneedles with electrochemical aptamer-based sensors to continuously measure drug concentrations in interstitial fluid and enable adaptive dosing. Initially developed for vancomycin monitoring, the platform addresses critical limitations of conventional therapeutic drug monitoring, […]

This project explores two critical areas of AI research: cybersecurity for Internet of Things (IoT) systems and responsible AI assistants for education and research. IoT devices, widely used in healthcare, smart cities, and industry, are highly vulnerable to cyberattacks due to limited resources and large-scale connectivity. We propose AI-based intrusion detection systems that are lightweight, […]

This project focuses on validating a next-generation green hydrogen production technology and advancing its path toward commercialization. Green hydrogen is widely recognized as a critical solution for reducing greenhouse gas emissions in industries such as chemicals, energy storage, manufacturing, and transportation. However, today’s green hydrogen production methods are still expensive and energy-intensive, limiting large-scale adoption. […]

This research examines the intersection of post-resettlement experiences, informality, and food insecurity in China. Understanding these dynamics is crucial for developing policies that support the food security and well-being of resettled populations in rapidly urbanizing contexts. This research contributes to the broader literature on informality in developing countries by adding new insights from China’s nationwide […]

Quantum computing is a cutting-edge field poised to revolutionize technology, with its quantum information processing segment projected to reach $100 billion in the next decade. It harnesses tiny units called qubits that collaborate via strong coupling to tackle complex problems far faster than conventional computers. The power of this coupling determines processing speed – stronger […]

Autonomous systems such as intelligent vehicles and robotic platforms must reliably perceive their surroundings and reason about complex environments to make safe, informed decisions. Recent advances in Vision-Language Models (VLMs) and Vision-Language-Action (VLA) frameworks combine visual understanding with language-based reasoning, creating unified architectures for perception, interpretation, and decision-making. This integration enables autonomous agents to describe […]

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.

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 […]

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 […]

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 […]

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 […]

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 […]