Developing an electrochemical sensor using in-situ synthesis of a stand-alone MIP membrane for bacteria detection in water

In this project, a microfluidic sensor will be developed for bacteria detection in water. The microfluidic device enables in-situ synthesis of molecularly imprinted polymer (MIP) membranes with bacteria imprinted cavities. The sensor works based on bounding the target bacteria to the MIP membrane, thereby altering the electrochemical signal which will be measured using in-situ fabricated […]

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AquaBots : Une solution innovante pour le suivi en temps réel de la qualité des cours d’eau.

Notre solution AquaBots offre un accès en temps réel à des données géoréférencées pour le suivi de la qualité de l’eau dans les différents types de cours d’eau. Elle combine l’intelligence artificielle, la robotique et les technologies de pointe pour garantir une analyse continue et efficace des polluants et l’identification de leurs sources. Ces fonctionnalités […]

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Multiscale Molecular Modeling on Green & Sustainable Catalysis- Industrial Application

In the energy sector, developing renewable energies such as carbon capture and utilization (CCU), bioenergy (biogas, biofuels, or green bio-chemicals), and hydrogen-based technology depends on improving catalytic technology. Technology providers in these sustainable areas are focused on developing better catalytic technology, while stakeholders must decide which technology to bet on. The challenge lies in the […]

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Mines Intelligentes et autonomes

Les activités d’exploitation minière souterraines, mènent souvent à des événements sismiques qui ne peuvent pas être évités ou anticipés. C’est donc très nécessaire pour les compagnies minières d’investir dans les solutions technologiques qui peuvent au maximum moins exposer voire éliminer la présence humaine sous terre. L’opération de soutènement de la roche retient notre attention en […]

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Near Infrared Camera Utilizing Nanomaterials and Nanotechnologies

Near-infrared (NIR) imaging systems play a vital role in human tissue imaging. These systems can facilitate various vital clinical applications. Such applications enable real-time metabolic monitoring, non-invasive imaging of the lymphatic system, and mapping of microvasculature blood flow. In this research, the problem to be addressed is the lack of accessibility to cheap near infrared […]

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Elastic Coarse-Grained Reconfigurable Arrays

Standard microprocessors are not getting faster anymore, however, consumer and industry demand for faster and lower-power computing is insatiable. The project aims to research and develop a novel computer-hardware platform to be used for accelerated low-power computing versus the use of microprocessors. The new hardware platform, called a coarse-grained reconfigurable array (CGRAs), can be configured […]

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Exploring the Potential of Chitosan and Chitosan-Lipid Complexes as Adjuvants and Delivery System in Vaccine Development: A Systematic Screening and Evaluation Study

Vaccines are essential in protecting individuals from infectious diseases by preparing their immune systems to recognize and combat pathogens. The tremendous impact of vaccines on public health cannot be emphasized enough, as they have saved countless lives since their inception. However, the adaptability of viruses and other infectious agents has necessitated the development of new […]

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Market Research into Replacement Gases for HFCs and HFOs and into SF6 for Switchgear applications

The Intern will do research to identify possible existing and new gases to replace harmful gases used in refrigeration, automotive air conditioning and other similar industrial and consumer uses that are known to deplete the ozone layer or are ‘super-greenhouse gases’. Through literature searches and primary interviews with manufacturers, the student will prepare an analysis […]

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Anomaly Detection Models for the Trusted Execution Environment

In this project, Dr. Fung and her students will work with Trustcore Technology to design and develop anomaly detection functions in the trusted execution environment (TEE) of Internet of Things devices. The goal is to provide a robust solution to detect malfunctions and/or intrusions in IoT systems. The project is divided into two parts. Part […]

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Anomaly Detection in Satellite Data Using Quadratic Neural Networks

The goal of this project is to develop a machine learning tool based on quadratic neural networks to perform automated telemetry analysis and detection of known anomalies faster than the current state-of-the-art, and to produce indicators to possible new and unknown anomalies in satellite data.

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