Technology and Tools for Quantitative Neurodiagnostics Using Ultra-High Resolution Magnetic Resonance Imaging

The project aims to translate developments in ultra-sensitive MRI sensors to a clinically-relevant setting. To create high-sensitivity sensors for better images, we aim to create a tight-fitting system which places the sensors—akin to antennas—closer to the brain. This will improve the quality of the signals that we can extract from the brain, and allow us […]

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System on Chip for aerospace embedded equipment

The aeronautic and aerospace industries are exploring new approached to reduce the mass of cables, bulky electronic systems. This rationally leads onto aircraft weight reduction as well as the amount of CO2 and greenhouse gas emitted by aircrafts. To reduce the mass of cables, power harvesting technique could be utilized. In this approach, the energy […]

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Interaction of Cyclin-dependent kinase 2 with CR6-interacting factor 1, and the inhibitor search for such interaction against leukemia treatment resistance

Cyclin-dependent kinase-2 (CDK2) regulates cell cycle, whose structure and biological characteristics are well known. CRIF1 plays a regulatory role in the bone marrow microenvironment-induced leukemia cell cycle arrest through inhibiting CDK2. In this multi-disciplinary research, we will use a combined structure function study to reveal the interaction between CDK2 and CRIF1. This will facilitate the […]

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Efficacy of a novel anti-IL-1B receptor modulator in reducing preterm birth impact on neurovascular health

Preterm neonates ill-adapted to the extra uterine environment are prone to increased inflammation in multiple organs and the proinflammatory interleukine IL-1b has been closely implicated in brain injury associated with preterm birth (PTB). One major adverse neuronal outcome for PTB survivors is the greater propensity to develop ischemic brain lesions long after birth. Here, we […]

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E-Community Health and Toxicity

Online communities abound today, arising on social networking sites, on the websites of real-world communities like schools or clubs, on web discussion forums, on the discussion boards of videogames, and even on the comment pages of news sites and blogs. Some of these communities are “healthy” and foster polite discussion between respectful members, but others […]

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Towards a Universal Cloud-based IoT Platform for Smart Applications

With the Internet of Things technology, a multitude of small devices and sensors are connected to the cloud and social networks using the Internet. These devices generate a huge volume of data, which can be used to discover trends and profiles. This enables building diverse useful applications for our modern society. This project is a […]

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Predicting real-world attention with physiology

It is estimated that the average person spends up to 50% of their waking hours thinking about things other than what they are presently doing (i.e., mind wandering). This internal form of distraction along with its external counterpart (i.e., external distraction) are associated with performance deficits during everyday activities, such as reading or driving. Moreover, […]

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Self-powered microchips for rapid diagnosis and severity determination of urinary tract infections

Children presenting a fever without known sources are usually checked for bacterial urinary tract infection (UTI) which, in its more complicated forms, can result in permanent kidney damage. The gold standard conventional tests to diagnose complicated urinary tract infections are urine culture and kidney imaging with a radioactive tracer. However, these tests are lengthy (urine […]

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Linguistic Data Science for the Development of a Business Corpus

This project is dedicated to the development of a new business corpus as a novel data for the company’s business intelligence. It focuses on linguistic pre-processing for the business domain using two types of collected corpora: text and speech. An automatic annotation of the pre-processed business corpus will be completed using labels related to sentiment […]

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