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Smart and innovative packaging, post-harvest rot management and shipping of organic citrus fruit – BiOrangePack
The overall objective of the project is to increase the efficiency, sustainability and competitiveness of the post-farming processing chain of organic citrus fruit, by intervening points of weakness and the unresolved problems of this supply chain. Consistently with the scope, specific objectives in
FrEsh FooD sustainable paKaging in the cIrcular ecOnomy – FEDKITO
Quality and shelf life of fresh food (FF: fruits, vegetables, meat and dairy) are affected by microbial contamination and insect attacks, that may be exacerbated by non-optimal logistics at post-farming and retailer stages. FEDKITO proposes the use of chitosan (CHT) aromatized with essential oils (E
Surpass the Virus through Innovations in emergence – SURVIE
The Pandemic COVID-19 has impacted strongly the habitual activities in numerous sectors, such as healthcare, businesses, transportation services and educational institutions. With the end of confinement and the progressive return to professional on-site activity, there is an opportunity to innovate
Artificial Intelligence for Health, Physical Models, Transportation and Defense – AHEAD
AI has a major impact in essentially all fields in science and humanities. At Cnam, several laboratories are developing research programs in AI. This proposal gathers actors from computer science and applied mathematics, which perform fundamental research in AI, and institutions using AI technologie
Humans and Artificial Intelligence Sharing Control and Decisions – HAISCoDe
We propose a research program of 10 PhD theses coordinated by Normandie Université (NU), which federates the most important institutions of higher education and research in Normandy. These PhD grants will be co-funded by Région Normandie, in line with its strategy for research and innovation. The
Propositional Reasoning for Large-Scale Optimization. Application to Clean Energy Mobility Issues – Massal'IA
We are in a scenario where SAT-based problem solving is highly competitive on decision problems, and Max-SAT-based approaches have been proposed for optimization problems. Max-SAT is a consolidated research line, but the performance of the solvers needs to be improved for large scale real applicatio
Algorithms, Approximations, Sparsity and Sketching for AI – AllegroAssai
AllegroAssai will address the fundamental scientific challenge of designing AI techniques endowed not only with solid statistical guarantees (to ensure their performance, fairness, privacy, etc.) but also with provable resource-efficiency (e.g. in terms of bytes and flops, which impact energy consum
A road toward safe artificial intelligence in mobility – Raimo
The rapid development of artificial intelligence is transforming the transportation sector, with autonomous vehicles representing a major disruptive innovation whose large-scale deployment remains uncertain. Despite ongoing real-world experimentation, broader acceptance and deployment are constraine
Multiphysics Imager for Microfluidic Fuel Cells – I2MPAC
In the current objective of massive deployment of renewable energies from wind turbines and solar panels, energy storage is the most critical issue to synchronize the electrical production to the consumption. Several studies in the literature have shown how energy storage can transform intermittent
Mastering the Charge Transfers and Trapping Dynamics in Hybrid Nano-Perovskite/TMDC 2D Photodetectors – MaTra2D
Hybrid interfaces between nanocrystal (NanoX) perovskite materials and two dimensional (2D) transition dichalcogenides (TMD) hold great promises for the development of smart photodetector devices, for they combine two class of model materials displaying exceptional and complementary opto-electronic
