KidsAbility is the leading provider of pediatric rehabilitation in Waterloo and Wellington, supporting 17,000 children each year. Rising demand and a shortage of trained clinicians have made it difficult to keep up, leading to longer wait times for families in need. KidsAbility is exploring the use of group therapy in their Speech Language Therapy (SLT) […]

Lithium-ion batteries with silicon anodes have garnered significant attention due to their exceptional theoretical specific capacity of approximately 3,590 mAh/g at room temperature—nearly ten times that of conventional graphite anodes (~372 mAh/g). However, the practical application of silicon anodes faces challenges such as significant volume expansion during lithiation, solid-electrolyte interphase (SEI) formation, and capacity fading […]

softwareQ develops open-source software tools for quantum computing, focusing on fault-tolerant architectures and distributed quantum systems. The organization collaborates with companies like nuQuantum, a hardware company building quantum interconnects for distributed quantum networks. A key challenge for softwareQ is bridging the gap between theoretical proposals (e.g., semi-hyperbolic Floquet codes) and real-world hardware constraints from platforms […]

This project focuses on developing innovative, biocompatible microrobots for targeted drug delivery, particularly in cancer treatment. By integrating smart hydrogels with magneto-active properties, these tiny robots can navigate the body and deliver highly precise chemotherapy drugs, reducing side effects and improving patient outcomes. Advanced 3D microfabrication techniques, such as two-photon lithography and digital light processing, […]

The dramatic growth of the Internet has enhanced access to information, fostering seamless communication and promoting effective collaboration. Unfortunately, advanced network traffic control and monitoring systems have empowered state-level actors to deploy large-scale surveillance and censorship mechanisms that track people’s Internet activities or limit their ability to freely access and publish information. Recently, multiple initiatives […]

Since our company was founded, IndigenousTech.ai Corporation (IndigenousTech.ai) has focused on improving the quality of life for Indigenous peoples living on reserve. To advance economic development, self-determination, and reconciliation of Indigenous communities in Canada, our company offers financial literacy training, housing reviews, credit projects, implementations of new technologies for remote communities, professional skills, and mentorship […]

This project will develop novel circuit metrics to predict model performance under realistic noise conditions, offering a practical approach to enhancing QML trainability. The research will investigate optimal parameter resilience across different circuit depths, qubit counts, and problem types, while comparing overparameterized and underparameterized regimes. Additionally, circuit metrics will be developed to predict model performance […]

Machine learning (ML) is transforming industries like IT, finance, and healthcare, but the code that powers these systems is still mostly written and updated by hand. This project explores how Large Language Models (LLMs) can assist developers by predicting and suggesting code edits for ML projects. By analyzing real-world code from public repositories, the research […]

A Patient-Centered and Visually Attractive Toolkit Adapted to Children and Youth to Reduce Inhaler Impact on Carbon Footprint in Ambulatory and Outpatient Settings 1) Introduction/Background: Carbon footprint (expressed in carbon dioxide equivalent, CO2e) is the preferred method to measure our impact on climate change. Healthcare represents 4.6% of total Canadian greenhouse gases emissions, and in […]

This project uses AI and smart thermostats to predict heatwaves in Canada, helping protect public health. By analyzing indoor and outdoor temperature data, we aim to improve heatwave forecasting and understand how extreme heat affects indoor spaces. Using machine learning, we develop models to predict future indoor temperatures, supporting better planning and response strategies. The […]

Despite advancements in women’s health diagnostics, cervical cancer screening rates remain critically low due to the invasive nature of traditional collection methods like Pap smears and self-swabs. CELLECT is pioneering a non-invasive, nanotechnology-enabled collection device—the CELLECTPad—that passively captures high-quality cervical and epithelial cells during menstruation. By removing the discomfort and accessibility barriers of existing methods, […]

This project explores how people from different cultures make important life decisions, such as career choices or relationships. It focuses on understanding how cultural norms, social values, and religious beliefs influence decision-making. The research will use advanced text analysis (Natural Language Processing) and surveys to identify patterns in how people from different backgrounds approach decisions. […]