In waste-to-resource processes, variations in operating conditions are common, to accommodate varying process objectives and ambient disturbances. In these cases, well-tuned operating conditions are disrupted, and correlations among process and quality variables are broken, leading to unexpected outcomes. Due to large number of involved variables and their complex relations, it is challenging to re-tune system […]

Quantum Machine Learning is an emerging field of science, exploring the role that quantum computers can play when combined with machine learning models and methods. Within this field, kernel methods have quickly become one of the most promising and exciting techniques to show benefits in performance, even when using the current primitive quantum computers that […]

The aim of this research is to introduce a novel tremor suppression device capable of attenuating both Parkinsonian and Essential tremors. The approach taken involves treating tremors as vibration challenges and applying the theory of a vibration absorber to design and optimize the novel device. Detailed analysis of vibration absorption is used to identify key […]

In this project, the intern will work closely with the staff of Xanadu, a quantum computing company, to develop educational materials intended for an audience who are comfortable with classical computer programming, but have no prior knowledge or experience with quantum physics or quantum computers. By using interactive, web-based instructional materials, and animated graphics, the […]

Environmental forensic investigations endeavour to identify connections between environmental pollution and polluters. There assessments are integral to legal cases spanning pollution from accidental spills to illegal disposal of chemical waste. A common challenge is the investigation of complex contaminant mixtures that may have multiple polluters or where only part of the complex contaminant mixture are […]

The current study aims to develop a new workflow for occupancy schedules estimation using WiFi sensing technology and utilizing different machine learning and deep learning algorithms. Aerial will provide preprocessed CSI data, occupied and non-occupied time series, and activity level time series to be used by intern for extracting occupancy presence pattern, the number of […]

Marine mammals are some of the most contaminated animals in the world. Pollutants work their way up the food chain and cause a number of health issues in predator species like killer whales. This is because any pollution present in their food is passed on to them which continues to increase over their lifespan as […]

This project will look at the career aspirations and confidence of engineering students in their first year of studies. The data to be analyzed comes from a survey of first year students collected as part of a co-op prepapration program. The data will be analysed to look for differences by gender, international and student status, […]

The detection of specific carbohydrates is critical for several processes including biofuel production, textile finishing, food production and human health. These carbohydrates play roles in human health including stem cell differentiation, genetic diseases, and viral infection (i.e., COVID-19). Presently, the largest barrier to understanding the role carbohydrates play in human health is the lack of […]

Computer-supported Electronic Medical Record (EMR) systems are increasingly replacing conventional paper-based information management in primary health care clinics. Recently, there has been a trend to make these EMR systems available in a Cloud-based, interoperable and network-centric architecture. The internship will research ways to increase the interoperability of an existing EMR product, with respect to emerging […]

The proposed project is aimed at adding smart contract and sharding functionality to the Dandelion network, improving cryptographic efficiency with aggregable signatures under the BLS signature scheme, identifying a roadmap to a Quantum Resistant aggregable signatures, and mathematically proving the safety and liveness properties of the extended system using TLA+ proofs. This improve the platforms […]

La plupart des personnes autistes souhaitent être autonomes dans une majorité des sphères de leur vie, particulièrement dans celle de l’hébergement. Toutefois, plusieurs obstacles peuvent se présenter à eux tels que le manque de ressources résidentielles adaptées et l’arrêt des services de soutien. C’est dans cette optique que la Fondation Véro & Louis (FVL) a […]