For economical and simplification purpose Operators in the Telecom market are looking to move as much as possible of their infrastructure from traditional deployment to Cloud deployment. However Cloud deployment of IMS still need to be defined and developed. This project aims at bringing further the knowledge for such a deployment and helping guide future […]

Workforce scheduling algorithms are used by businesses around the world, including hospitals, factories, and retail stores, to determine when and where employees should come to work. Usually, the needs of organizations change over time, but the scheduling algorithms used in these systems usually do not change. Kronos is an industry leader in scheduling software, and […]

This project will investigate the challenging possibility of operating anaerobic digesters at 20 ºC without the supply of any external heat source by combining anaerobic digestion with sludge ozonation. The hypothesis is that such combination will enable the operation of anaerobic digesters at 20 °C, and achieve higher biosolids reduction, more biogas production, and increased […]

This project aims at investigating productive uncertainty as a determinant factor in stimulating the exploration of innovation. Data will be collected through stakeholder interviews and observations of technological intelligence practices at Université de Bordeaux’s Via Inno lab. Via Inno engages with industrial partners to explore future development opportunities, which present an ideal case study to […]

Many problems which are best solved by neural networks are exhibiting rapid growth in nascent and existing fields, such as natural language processing, and image recognition for self-driving cars. Current limitations in manufacturing technologies impose limits that prevent these performance demands from being met through conventional methods. Neuromorphic computing has been proposed as a potential […]

In this project we aim to study means of development of a new concept of the thermal energy storage (TES) technology which allows for the collection of thermal energy for later use. With the Solar Power System it is necessary to balance energy demand between day and night time. On the one hand, TES can […]

Drug use in older persons is a major public health concern. Even though therapeutic drugs are beneficial for patients’ health in terms of survival or quality of life, patients aged >65 years have a greater risk of developing drug-related complications. Such complications may be fatal because of the high frequency of both multiple pathologies andpolypharmacy […]

Better light collection by photodetectors would automatically improve signal to noise ratio and photodetector performance. For example, for the positron emission tomography application, it would result in a better image quality for a lower dose. The main cause of the light loss is too much reflection of light that is trying to travel from the […]

In this project, the intern will develop an integrated patients and care givers scheduling system for the allocation of health care resources in community health care. This system provides patients with an online preference collecting interface for them to express their preferences on time, location, and care givers when estimating their service costs and booking […]

Le but du projet de recherche sera de développer un nouvel entraînement cérébral (perceptivo-cognitif) de pointe pour améliorer la performance des sportifs de haut niveau. Cet outil virtuel multitâche (Figure 1) combinera un exercice de traitement de scènes visuelles dynamiques complexes (NeuroTrackerTM) et un exercice de reconnaissance tactique spécifique (ex : tir ou passe). Les […]

The power consumption by Radiofrequency (RF) Integrated Circuit (IC) Power Amplifiers (PAs) in mobile handsets and other mobile communication devices is a major factor determining the battery life of these equipment. The objective of this project is to find new ways to implement power efficiency improvement techniques in CMOS RFIC PAs for improved battery lifetime, […]

This research project aims at creating a robust, efficient and reliable tool for Information Extraction (IE) from vast amounts of textual data related to the financial domain. Named entities recognition, a subtask of information extraction, seeks to locate and classify elements in text into pre-defined categories such as the names of persons, organizations, locations, expressions […]