Extending the level proximal subdifferential

Many real-world applications can be modeled as nonconvex optimization problems, such as the phase retrieval problem in medical imaging and matrix factorization problems in data analysis, just to name a few. Proximal-type algorithms serve as ideal candidates to resolve these nonconvex problems. Nevertheless, their convergence analysis remains challenging due to the lack of favorable properties […]

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Wi-Fi Blocking Wallpaper Testing and Characterization

This project seeks to develop a wallpaper that blocks Wi-Fi signals for shielding rooms and buildings. A thin layer of conductive ink is printed onto the wallpaper using a repeated pattern that is designed to reflect signals from the two Wi-Fi frequency bands. The pattern has been designed by the applicant in partnership with G […]

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Machine learning for satellite-based monitoring and condition assessment of critical infrastructure

This project aims to improve the monitoring and assessment of critical infrastructure using machine learning and satellite technology. By integrating machine learning techniques, we aim to improve the accuracy of detecting structural and geotechnical deterioration in public infrastructure, such as marine port wharves and airport runways. Led by experts from the NRC’s Construction Research Centre […]

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AI-Powered Contract Summarization and NLP-Driven Data Cleansing: Innovating Legal Document Analysis

In response to the growing complexity and volume of legal contracts, there is a pressing need for innovative solutions to enhance efficiency and accuracy in drafting processes. This research proposal pivots towards automating language models to summarize existing agreements, with a specific emphasis on data cleansing and summarization of contracts. The proposed research explores the […]

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Development and Evaluation of the AI Clinical Buddy System

The overarching project involves designing, testing and evaluating a platform that uses AI and data-driven approaches to improve recruitment, adherence, engagement and monitoring of clinical trials. The specific projects to be undertaken by the interns involve 1) identifying evidence-based behaviour-change techniques that will then be programmed into an AI-driven adherence assistant and evaluated and 2) […]

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A low cost, reconfigurable, and power efficient FPGA based all-digital transmitter for low earth satellite applications

This research project investigates the design of an all-digital transmitter that is suitable for low earth orbit satellite (LEO) networks. Important requirements for the satellite application include a transmit system that has a software reconfigurable hardware platform that is power efficient and can generate modulated output signals at the carrier frequency. The architecture also needs […]

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The influence of social adversity on cardiovascular aging

Cardiovascular disease (CV) is a leading global cause of death, primarily linked to aging, but influenced by various factors like inactivity, poor diet, and limited healthcare access. Social adversities, such as social isolation and challenging childhoods, also significantly impact CV health, weakening the immune system and altering genes. Understanding how social challenges affect CV health […]

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Project FURTHER: Physiological determinants of female ultra-endurance running

Very little research has explored ultra-endurance running, particularly in females (15% of tested subjects). We therefore have a very limited understanding about human performance, and specifically female physiology, with ultra-distances >350 km. Lululemon Athletica inc. has sponsored an initiative ‘Project FURTHER’ whereby ten females will attempt to run as far as possible within a 6-day […]

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Monolithic Metal-Organic Framework Aerogels

The proposed research involves the synthesis and in-depth characterization of conductive metal-organic frameworks (MOFs) as a benchmark of super-porous and functional materials. The as-developed conductive MOFs will be thence employed to yield free-standing multi-scale porous aerogels as ultra-light functional constructs. These aerogels are potent candidates for absorption-dominant electromagnetic (EM) shields and energy storage systems. The […]

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L2M – Flow Force Technologies

Mechanical interactions among biomolecules dictate many biological processes. However, studying them at high throughput is challenging in fundamental science and pharmaceutical discovery. We have developed a new technique to address this challenge as it will allow for a simple and scalable approach to studying the force-dependent behavior of biomolecules. This is important as disease cellular […]

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L2M – AI-Enable Regional Water Quality Assessment with Downscaled Climate Impact

This project is fundamentally about business development and identifying user needs in the face of climate change, a critical issue that poses significant threats to urban water infrastructure resiliency. The focus is on the anticipated challenges caused by changing precipitation patterns, increasing temperatures, and rising demand leading to freshwater scarcity and declining quality. Such climate […]

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