L’économie de la région du Campo de Cartagena en Espagne est basée sur une intense agriculture irriguée qui alimente une grande partie de l’Europe de l’Ouest en fruits et légumes. En l’absence de suffisamment d’eau de surface, les eaux souterraines sont depuis plusieurs décennies une ressource cruciale. L’eau est pompée jusqu’à 600 m de profondeur […]

States worldwide compete in an intensifying race for talent, mainly for professionals in Science, Technology, Engineering, and Mathematics (STEM). This project investigates how government and industry actors at the level of technology clusters (Shanghai) are able to use existing regulatory frameworks to attract and retain global STEM talent. Although China has relied on ethnic returnees […]

Lubricated pipeline flows were originally proposed 50 years ago. In this method a low viscous fluid like water is used to lubricate the heavy oil flow as it has a very high viscosity. Because of density difference between these two fluids, the interface is unstable. As a result, we proposed adding another layer which is […]

L’utilisation de systèmes robotiques en réadaptation médicale présente un certain nombre d’avantages par rapport à la thérapie traditionnelle, tels qu’une bonne répétabilité de mouvement, une assistance contrôlable avec précision pendant les mouvements et des mesures de performance quantifiables. Récemment, une nouvelle classe de systèmes robotiques, appelés robots parallèles à câbles, a été introduite dans le […]

De nos jours, l’analyse des données est au coeur de plusieurs nouvelles technologies, surtout avec l’arrivée de l’ère du « big data » et l’essor du « deep learning ». En effet, les réseaux de neurones profonds appliqués à des données massives révolutionnent certains domaines comme la vision, le traitement de la langue naturelle et […]

This project examines how technology firms in Tel Aviv and Haifa, Israel attract and retain migrants with skills in science, technology, engineering, and mathematics (STEM). Israel strongly depends on its innovative technology firms; however, there is a growing awareness that Israel’s economy and innovativeness could lose momentum due to job shortages in the STEM sector. […]

Research within this project will focus on the innovation and characterization of plant-based ingredients arising from pulses and cereals for the protein ingredient market. The global protein ingredient market was valued at $31.8 billion in 2016 and is expected to rise to $46.4 billion by 2022 with the greatest growth occurring in the plant protein […]

Depuis une décennie, l’internationalisation des systèmes d’éducation s’intensifie et se caractérise par de nombreuses réformes. Celles-ci favorisent le développement de compétences du 21e siècle, l’intégration de l’éducation interculturelle dans les curriculums et une augmentation des programmes d’échanges et de stages internationaux. Certains milieux de formation initiale des enseignants, interpellés par ces nouveaux besoin de formation, […]

The goal of this research project is to develop novel techniques to solve different tasks for character animation using deep neural networks and generative modeling. Namely, we wish propose a novel approach for transitions generation, in which clips of character animation can be linked together with a novel clip. This transition will be generated by […]

In the field of organic solvent dehydration, pervaporation technology has a certain advantage over the conventionally-used distillation and absorption. Pervaporation technology not only reduces cost but also improves separation efficiency. Zeolite membrane, specifically the LTA-type, offers a promising alternative to the current use of polymer membranes within the field of organic solvent dehydration due to […]

This research explores the concept of Internet of Things and how the current technology of smartphones can be used to improve the continuous health monitoring of pregnant women across the globe. A very convenient and cost-effective system has been proposed to ensure a completely non-invasive way of collecting the biometric data of pregnant women and […]

This research project deals with categorizing women belonging to different developing countries into different health risk segments and sub segments and subsequently analyze patterns of diseases/infections in various geographical regions accordingly by using Optimized machine learning approach. XgBoost algorithm would be implemented to achieve this goal among other existing algorithms as this offers better model […]