Research projects

 The construction industry is a priority for energy policy, as it is responsible for over 40 % of energy consumption in Europe. For example, energy efficiency objectives involve the renovation of 500,000 housing units per year in France. Renovation projects are often based on simulations and the results obtained often come in below projections. This is mainly due to incorrectly estimating the role of occupants and their uses. We are targeting this problem to improve predictions from models and the efficiency of renovations by developing “grey box” models that combine determinist physical descriptions and statistics on occupants, uses and dynamic consumption data. It is critical to use these models efficiently, both upstream (data generation) and downstream (decomposition of aggregated curves) to take full advantage of the smart electricity meters being rolled out on a widespread scale.

 Nowadays, communications use different kinds of networks and deliver various applications in real-time (audio, video, etc.) that require different levels of quality of service (QoS). Some of these applications require a certain minimum debit to function, while others demand a minimum latency.
Various resource management mechanisms have been developed for wired and wireless networks, to improve and ensure the end-to-end QoS, specifically QoS-based routing, resource allocation and programming. However, the majority of these mechanisms are static and do not adapt in a dynamic way to environments that change frequently (channel, traffic load, resources available, etc.) The main objective of this PhD thesis is to offer new, innovative algorithms and technologies for intelligent, dynamic, communication networks. The results and conclusions of the research will contribute to improving the performance and adaptability of Nexen, a network router proposed by Thales Communication and Network.

 This research program tackles the problem of modelling tissue perfusion in-depth, using an anatomic model of tissue and the vascular system supplying blood to the tissue. The project is particularly concerned with modelling the perfusion in heart attacks, using a model of coronary arteries supplying the myocardium paired with a porous material, modelling the microvasculature.

 Water management requires widespread surveillance at a low cost, which means tackling a range of changing requirements. The Proteus project aims to develop a platform of reconfigurable microfluidic and nanometric sensors for cognitive surveillance of water quality. The challenge is to combine chemical sensors, using carbon nanotubes, resistive physical and rheological MEMS-type sensors and an interactive CMOS circuit. This kind of multi-sensor platform was able to be produced thanks to the microfabrication resources available at ESIEE Paris (clean room).

 Industrial innovation, considered to be a key resource for economic development in knowledge-based societies, is based on articulating new concepts and technological and scientific knowledge, at least for physical components (new products and processes). The “Territories of Knowledge” research project aims to analyse this dual source of knowledge mobilised in innovation creation, by focusing on the major stakeholders in the industrial macro-sector of chemistry, pharmacy and biotechnology. This sector draws heavily on research and has a historic tradition of cooperating with universities.

 This project organises an event (annual conference) that allows researchers and other members of society to discuss humanity’s major challenges. A few of the topics discussed at this year’s edition were the role of platforms to facilitate collaboration between various health stakeholders, the link between social innovation and e-health, and the representation of responsibility in the synthetic biology sector. Each year, ESIEE Paris supports this annual international workshop as a partner, with guests from a range of backgrounds (academics from different disciplines, innovation professionals, various institutions).