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Adaptive diversification of Fly Orchids as a new model to investigate ecological speciation and evolutionary radiations – DiversiFly
Developing an integrative research allowing to elucidate both the links between genotype, phenotype and fitness and the genomic bases of the variation form a major challenge in our understanding of speciation and the emergence of biodiversity. In DiversiFly, I propose to implement such approach by g
Adaptive management in insect pest control in thermally heterogeneous agricultural landscapes – MAN-PEST
If the future demand of 9 billions people is to be met, food production must virtually double by the year 2050. One potential approach of meeting this demand is the control of crop pests, which globally consume the amount of food sufficient to feed more than 1 billion people. In the context of impro
Adaptive multi-tier intelligent data manager for Exascale – ADMIRE
The growing need to process extremely large data sets is one of the main drivers for building exascale HPC systems today. However, the flat storage hierarchies found in classic HPC architectures no longer satisfy the performance requirements of data-processing applications. Uncoordinated file acces
Adaptive ultrafast laser processing techniques for photonic and optical applications – AdPRO
Following the demand for functionalization of optical materials, laser-induced photoinscription opens up new perspectives for emerging photonic applications. The challenge is to design dielectric properties and add specific optical functions to compact, integrated optical devices. Nevertheless, the
Adding Spectral information to ptychographic imaging of Technical Catalysts – ASTeCa
Elevating materials from the tiny atomic level to the larger macroscopic level, where interactions between components become more complex, is a challenge. Traditional theories are often inadequate, and while advanced imaging techniques such as atom probe tomography and electron microscopy offer some
Addressing securiTy Threats to artIficiaL intelligence in Approximate computing systems – ATTILA
We are witnessing unprecedented Cyber-Physical Systems deployments to monitor and control the environment, including critical infrastructures. The Internet of Things federates these edge computing systems with the cloud, all of which make increasing use of Artificial Intelligence to provide high inf
Adipose tissue Hematopoiesis bridging ischemic heart disease and diabetes – WAT-HEART
Cardiovascular diseases (CVD), including ischemic heart disease (IHD), are the main cause of mortality in nearly all European Union member states, accounting for almost 40% of all deaths in the region in 2011. In particular, the cardiovascular risk in people with diabetes mellitus is two to three ti
Adjusting nitrate fluxes in plant growth responses to shade or temperature – NitReST
Plants constantly adjust their development in response to variations of environmental parameters, both above and below ground. How do plants sense and integrate various concomitant external signals? How does each signal influence the response to another? These questions are at the heart of the NitRe
Advanced Laboratory X-ray Microtomography – ALXM
For more than 25 years, synchrotron X-ray microtomography, especially in phase contrast or diffraction mode, has enabled the 3D characterization at the micro-meter scale of crystalline and amorphous media, both heterogeneous and architectured. By the earlier 2000s, laboratory X-ray micrography, whic
Advanced Machine/Deep learning for Heterogeneous Large scale data – AML-HELAS
Professor M. Vazirgiannis is involved in data science research since the 1990’s, worked in different research areas of this domain maintaining significant scientific impact. He established and leads the Data Science and Mining group at LIX/École Polytechnique (ÉP), being active in attracting signifi
