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Stochastic Orders and Constrained Transport – SOCOT
Our goal is to improve understanding and extend the range of applications of stochastic orders ubiquitous objects in probability, statistics and mathematics of decision-making in connection with the weak optimal transport theory, that is an important setting of the generalized transport theory and c
Automatic Sail: AI-Driven Optimization for Sustainable Maritime Navigation and Wind-Assisted Propulsion – AutoSail
Shipping accounts for 2.9% of global CO2 emissions, with a potential increase of 44% by 2050. To address this issue, wind-assisted propulsion solutions like Norsepower's rotor sails and Michelin's inflatable sails are being explored. However, there is limited research on real-time adaptive control s
CO2 Dependable Injection and Storage System Optimized for Local Valorization of the geothermal Energy Delivered – CO2-DISSOLVED
Projects for the geological storage of CO2 generally plan for its injection under supercritical conditions, i.e. in a state between gas and liquid, thus maximizing the stored quantities that can involve several million tons per year. When no site is available for the secure and durable storage of CO
Personalized Optimization with Human Feedback – Human-O
In this project, I propose to explore and design new algorithms at the intersection of optimiza- tion, dynamical systems, and learning of the user’s costs and constraints, allowing end users to have a choice between possible decisions, and learn from it. [S1] Learning to optimize for dynamical syst
Interest of neurofeedback for optimizing vigilance in sleep-deprived operators – INOVOPS
In high-intensity conflicts or professions with high cognitive demands, sleep debt is a critical factor in performance degradation. It leads to reduced attentional and executive capacities, increased risk of accidents, and long-term detrimental effects on health. Existing pharmacological solutions,
Air Loop and Thermal management Optimization for fuel cell Systems – ALTOS
Hydrogen is expected to play a major role in the energy transition and the decarbonation of the transportation sector. For automotive applications using fuel cell electrical vehicles FCEV, the propulsion system has to be able to handle a wide range of operating points in steady and transient conditi
Advanced design PrActice for New aero engine Developments and bearing Optimization undeR Extreme conditions – PANDORE
To achieve the objectives set by Europe regarding carbon neutrality, all aircraft engine manufacturers have started seeking original engine architectures that allow them to reach these goals. Several directions for development have been considered which all aim at improving performances in terms of
Message Passing Iterative Decoders based on Imprecise Arithmetic for Multi-Objective Power-Area-Delay Optimization – DIAMOND
Throughput and power consumption are key challenges for next-generation communication systems. High throughput is required to support the continuously increasing demand of traffic volume, while power consumption incorporates sustainability concerns and is a major constraint in mobile devices. Due to
Linking mathematical programming formalism with combinatorial optimization formalism, through the study of generic scheduling and network synthesis problems – LMCO
This project is a three year project which puts together people who used to respectively work on Discrete Mathematics, Combinatorial Optimization, Mathematical Programming, and embedded systems. Those people are located in three laboratories: - LIP6 Laboratory in PARIS VI, team animated by Philippe
Coupling between Ionic and Electronic Transport in Single-Walled Carbon Nanotubes – IONESCO
Efficient coupling between electronic and biological systems requires an interface for converting electronic signals into ionic (or chemical) signals, and vice versa, ideally with high sensitivity and speed. Unfortunately, the performances and functionalities of present electro-ionic devices poorly
