Search for a funded project
Learning for proximity flying – Proxilearn
The Proxilearn project leverages artificial intelligence techniques (machine learning) to allow micro-UAVs (10-20 cm / 50-80 g) to fly in very confined space (diameter between 40 cm and 1.5 m): air shafts, tunnels, underground storage, natural caves, or quarries. It is focused on two scientific chal
Learning the rules establishing the DNA replication landscape – RepliLand
DNA replication is a fundamental process of the cellular cycle. In metazoan replication starts stochastically at multiple sites called origin of replication. The factors responsible for selecting (i) the location of potential origins by origin licensing in the G1 phase and (ii) which potential origi
Learning with limited annotations for medical image classification – MIMIC
Nowadays, Deep Learning has achieved a breakthrough in the field of Artificial Intelligence. However, huge, labeled datasets are needed to train on. Collecting such extensive annotated data is time and resources consuming and it is not feasible in the medical domain. Indeed, unlike the case of n
Lessons from our ancient Frozen Planet: towards an unified theory for glacial sequence stratigraphy – SeqStrat-Ice
Glaciations, characterized by the development of vast continental-scale ice sheets, occurred repeatedly during the course of Earth history. A profound understanding of the circumstances that led to the emergence and subsequent demise of these ice sheets remains one of the main challenges in palaeocl
Level of Automation Decision for Transportation Operations in Production – LADTOP
This project investigates ways of designing internal logistics systems for production shops, taking advantage of Industry 4.0 technologies. The design approach developed follows the principles of Systems Engineering. Methods and techniques are deployed to express the need for internal logistics, and
Leveraging External Data for Enhanced Understanding and Causal Attribution of Anomalies in Water Network Systems – LUCAS
This project seeks to leverage external data to represent, analyze, understand, and identify the causes of anomalies observed on water network systems. It aims to break with traditional approaches to problem analysis based on a single source, and to take advantage of independently designed database
Leveraging Interpretable Machines for Performance Improvement and Decision – LIMPID
Huge increase of collected data, storage capacity and computing power promote the field of Artificial Intelligence (AI) to the status of panacea to all problems. Indeed, neural networks improved the results in the fields challenging for the handcrafted algorithms previously. However, there is always
Lexicon of Kinaesthetic Human Machine Interaction – LEXIKHUM
The objective of this project is to make machines intelligible through kinesthetic interaction. To achieve this objective four sub-objectives have been identified - to define a theoretical framework for kinesthetic communication, - to analyse the conditions of joint action and their psycho
Life Trajectories: Semantic Enrichment and Statistical Exploration – TRAVERSEES
Biographical surveys, which are based on the collection by questionnaire of the events that mark the life course of individuals, have gradually established themselves in the social sciences and humanities as a methodological approach for explaining behaviour within populations on the basis of the in
Lifecycle design & systemic approach for energy efficiency in thermo-energy devices – CORENSTOCK
The major transitions of the 21st century, notably digital and environmental, are revolutionizing our lifestyles and have ultimately transformed the modes of industrial production. In addition, companies no longer define themselves solely by what they do, but also by their approach. Thus, innovation
