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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Multi-Modal Data Fusion for Satellite Based Analysis Ready Surface Reflectance

Optical satellite imagery used for monitoring the Earth’s dynamic surface is frequently limited by persistent cloud cover. This creates significant data gaps and inconsistencies in daily surface reflectance products. This project aims to advance how we combine optical data with different data modalities that can see through clouds, like active radar and passive microwave data. […]

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Emergency Department (ED) Wait Times at Waterloo Regional Health Network (WRHN) – ED Challenge – PhD Intern

Despite numerous system interventions, emergency department (ED) wait times at Waterloo Regional Health Network (WRHN) remain a critical challenge. As part of an Innovation Partnership Procurement by Co-Design initiative led jointly with the University of Waterloo under the CareNext Coalition, WRHN is now engaging vendors and internal stakeholders to co-develop novel interventions that improve patient […]

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Applied AI Solution Development V2

This project aims to help Rogers Communications bring real-world AI and Generative AI (GenAI) solutions to life across Business units like Customer Care, Network, HR and Rogers Business. A team of five interns from the University of Waterloo will work with Rogers’ Data & AI Strategy team to turn identified promising use cases into working […]

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L2M – Market Entry and Human Factors Strategy for an Edge AI-Based Care Platform

This project focuses on launching and evaluating the NewGen Smart-Cup platform in clinical settings. NewGen Smart-Cup enables rapid, digital urine testing to support early detection of conditions such as preeclampsia and gestational diabetes. Building on prior validation work, this phase will study how healthcare teams adopt and integrate the technology into existing prenatal care routines. […]

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Machine Learning for Optimal Material Design in CO2 Capture

This proposal aims to accelerate the discovery of materials in Chemical looping combustion (CLC), which is an emerging technology that requires lower energy expenditure to capture CO2 from fossil fuels. A machine learning (ML) framework that only requires a limited amount of data for training will be developed. Atomistic simulations will be conducted to predict […]

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‘Pre-release’ baselines for compounds of concern in lakes of the Peace-Athabasca Delta before treated oil sands process water is discharged to the Athabasca River.

Federal and provincial governments are expected to approve release of treated oil sands process water (OSPW) into the Athabasca River to mitigate overabundance of mine wastewater and enable mine reclamation and closure. Concern is growing about the potential for downstream impacts on aquatic ecosystems at the Peace-Athabasca Delta. This project will generate critical knowledge to […]

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