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Controling the pest Drosophila suzukii with the sterile insect technique: maturation and efficacy – SuzuKIISS.ME
Strawberry, raspberry and cherry farmers lack solutions to control the invasive pest Drosophila suzukii (DS). Here, we will maturate the Sterile Insect Technique (SIT) targeting DS. SIT has shown great efficacy to control many insects in foreign countries. It prevents reproduction by wild females th
Sub-Exponential Approximate and Parameterized Algorithms – S-EX-AP-PE-AL
The topic of this project is the design of efficient approximation algorithms for NP-hard combinatorial optimization problems. Such problems abound in all fields of science and engineering - in fact the vast majority of interesting problems are NP-hard and therefore do not admit fast (polynomial-tim
Metal Organic Thiolate Coordination Polymers as Innovative Thermoelectric Materials – MOTIC
The chemistry of coordination polymers (CPs) opens up great perspectives for the development of new materials such as in the field of electronics and in energy-harvesting for the recycling of waste heat by thermoelectric effects. These materials consist of an organic matrix crossed by electrical con
Assembly of thermoplastic hybrid carbon composite thermosetting:customization of complex structures – SHORYUKEN
Dans l'industrie moderne, l'impression 3D révolutionne la fabrication de composants automobiles, ferroviaires, aéronautiques, ainsi que des prothèses et orthèses. Ce procédé transforme les modèles 3D en objets réels, permettant la production de pièces complexes et sur mesure, sans le coût de moules
Energy consumption measurements and optimization in mobile networks – ECOMOME
Through project ECOMOME, we propose to address the scientific challenges and societal concerns related to the environmental impact of mobile networks. For this, we define three specific objectives: - O1: Conduct the first independent study on mobile network energy consumption, considering both the
Adaptive Microfluidic Networks for Optimal Transport – AMNOT
Flow transport in complex networks is abundant in biology and engineering, from the vasculature of animals, to the hyphal networks of fungi, to the random porous media making up batteries. It has long been thought that biological network morphologies were optimised to minimise the energetic cost ass
Compositional functions networks: adaptive learning for high-dimensional approximation and uncertainty quantification – COFNET
High-dimensional approximation tasks are ubiquitous in all areas of scientific computing and data science, including the solution of partial differential equations (PDEs), machine learning and uncertainty quantification (UQ). With the recent success of deep Neural Networks (NNs) and tree Tensor Netw
Electrically-Excited Chiral Plasmonic NanoCavities – ChiC
Chiral structures, whose initial and mirror structural images cannot be superimposed, interact differently with left-handed and right-handed circularly polarized light. Thus a structure of a certain “handedness” preferentially scatters or absorbs circularly polarized light of the same handedness, le
Multimodal Transit for Accessibility and Sustainability – MuTAS
Transit has a crucial role in the economics and the society of urban conurbations. To drive its evolution toward environmental sustainability and better user-centric performance, we envision optimally integrating new (Auto- mated) Mobility on Demand and classic Fixed Route Transit. This calls for a
Data, geometry and curvature – DataGC
Riemannian data are ubiquitous in modern statistics and machine learning: Low-rank matrix completion, dictionary learning, matrix factorization, computer vision, shape statistics, optimal transport, etc. Moreover, in an era where extraordinarily rich, yet also complex and heterogeneous datasets b
