11 deeptech projects awarded in the Premat' 2022 Call for Projects
The 11 winning projects hosted within schools of Institut Polytechnique de Paris research centers (Télécom Paris, Télécom SudParis, the École Polytechnique), will receive a total of 885,000 euros. They cover a variety of fields ranging from Materials Physics, MedTech, Environment, Networks and 5G.
Découvrez les projets lauréats ci-dessous :
|Anne-Laure Joudrier, École Polytechnique
|The project consists in a new structure to develop multi-functional, communicating and adjustable solar panels in order to improve and solve the issue of solar cell overheating, life time and their integration on buildings.
|Stephan Clémençon, Télécom Paris
|Scoring plays a major role in many fields (e.g. medicine, banking/insurance, marketing, security, industry) and allows to accomplish a wide variety of tasks, such as medical diagnostic assistance, credit-scoring, attrition analysis, marketing targeting, facial recognition, fraud detection, quality control. The objective of the project is to make available scoring techniques from research via a Machine Learning as a service (MLAAS) model.
|François Ozanam, École Polytechnique
|Olivier Meulle, Télécom SudParis
|The project aims at developing a computer mouse designed for people with extreme motor disabilities (inability to use their upper limbs - myopathy, quadriplegic, ALS, cerebral palsy, muscular dystrophy, spinal cord injury, head injury and in some cases stroke).
|This project aims at producing H2 from waste by light irradiation. This technology uses a photosensitive catalytic system involving semiconductors that allow the reduction of water under light irradiation. The catalyst will be regenerated by doing an oxidation of a sacrificial agent (alcoholic waste coming from industrial distilleries in this specific case)
|IMAG2 - Endométriose
|Isabelle Bloch, Télécom Paris
|The project aims at a better modelling of the anatomy of patients (3D) from MRI images to assist in the diagnosis and surgical planning of endometriosis.
|Elsa Angelini, Télécom Paris
|The harmonization of medical images is a major issue. The project consists in improving and testing a specialized algorithm to allow a better lesion growth characterization (e.g. tumors), localize contrast patches, and homogenize the statistical distributions of images for AI.
|Dominique Blouin, Télécom Paris
|Industrial robotics is a field of application for which the AADL modeling language brings many benefits. Télécom Paris has been developing for several years the RAMSES tool (Refinement of AADL Models for the Synthesis of Embedded Systems) that aims at an automatic generation of code via the refinement, analysis and verification of AADL models for industrial robotics systems.
|Aide à la décision
|Hoai Nam Nguyen, Télécom SudParis
|The project aims at developing an algorithm to solve more efficiently a quadratic convex constrained optimization problem (QCCQ) where optimal performance is the main objective (energy management system, real-time decision making).
|Elie Awwad, Télécom Paris
|The goal of this project is to improve the detection of vibrations through fiber optic cables within networks (technology based on optical reflectometry and digital processing of reflected signals). This technology gives a double function to optical cables: data transmission and vibration detection from the urban environment.
|Christophe Thiebaux, École polytechnique
|The SPLIF project would be a small, compact and portable device for high intensity beam measurement called. The very first application is the field of preclinical research (Dosimetry, beam intensity measurement for radiotherapy ).