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evenT-based prEdictive analytics for Control and Health MAnagement of INdustrial sysTems – TECHMAINT
Prognostics and Health Management (PHM) has been widely used in industrial systems to provide real-time data management, processing and control. PHM aims to predict the evolution of the system state in the future based on the current and past condition monitoring data, in the way to anticipate syste
Bias-Aware NEural aRchitecture seArch – BANERA
Artificial neural networks are nowadays one of the most studied and used algorithms for Artificial Intelligence to solve a huge variety of tasks. However, many deep models share a common drawback: their growing complexity challenges the computational capability of embedded devices and poses question
Dynamics of nonlinear dendritic computation in cortical pyramidal neurons and interneurons – DyndriteSymphony
The computational power of biological neurons in the mammalian cortex far surpasses that of their artificial counterparts due to their intricate dendritic structures and dynamic, active mechanisms. These structures give rise to a complex interplay between gradient and all-or-none mechanisms allowing
Control Allocation with Passivity for DC Microgrids – CASIMIR
The CASIMIR project is aimed at addressing critical challenges in the energy transition, particularly in the context of distributed energy production and storage using direct current (DC) microgrids. With renewable energy sources like solar and wind becoming more prevalent, traditional alternating c
Gain-lOss Dynamics and hybridiZation in Integrated nanoLaser Arrays – GODZILA
The ultra-dense integration of nanophotonic components now allows for the development of all-optical computers that are more energy-efficient and faster than analogous artificial intelligence solutions emulated on computers. To achieve this, it is necessary to conceive new concepts and implement the
Development of low-dose cryo-scanning transmission electron tomography using sparse images to study whole eukaryotic cells at the nanometre scale – C-STET-4-E-Cells
The project C-STET-4-E-Cells aims to develop an original cryo-scanning transmission electron tomography (cryo-STET) imaging method using sparse images for low dose applications in biology. The goal is to propose to the structural biology community a new imaging method to study in 3D large complexes
Distributed Algorithms for Microbiological Systems – DREAMY
Recent advances in the design of genetically engineered synthetic bacteria have high potential impact on new solutions towards biological computing by bacteria such as bio-sensing applications, bio-production, and intelligent drugs. This research project proposes innovative solutions to the problem
Mastering the Art of Conversation in Middle Childhood – MACoMiC
Conversation is a ubiquitous and important activity in our lives. Cognitive scientists consider it as a hallmark of human cognition as it relies on a sophisticated ability for coordination and shared attention (Tomasello & Rakoczy, 2007; Laland & Seed, 2021). Prominent computer scientists have descr
UNderwater robotics with multi-moDal communIcation and Network-Aided positioning system – UNDINA
UNDINA intends to improve connected underwater robotic technology by increasing the reliability of communication, networking, and positioning systems using deep integrations, mathematical modeling, and algorithmic methods. The partners will develop novel cognitive communication algorithms, and netwo
REsource efficient tunnelling based on real-time excavation MATerial CHaracterisation – REMATCH
In recent years, the issue of resource efficiency has also become increasingly important in construction engineering, as soil and rock account for more than 50% of mineral construction waste. Tunnel projects play a special role in this regard, as large quantities are generated at specific times and
