Experience

ASELTA Nanographics

• France
• Semiconductor Manufacturing
• 1 - 100 Employee

• ingénieur R&D / Développeur

  • Jan 2021 - Present

  Java software engineer Image processing research engineer Machine learning research engineer Java software engineer Image processing research engineer Machine learning research engineer



CEA Leti - Clinatec

• Grenoble Area, France

• PHD Student

  • Oct 2017 - Jan 2021

  Innovative decoding algorithms for Chronic ECoG-based Brain Computer Interface (BCI) for motor disabled subjects in laboratory and at home : The thesis will be carried out within the frame of the multidisciplinary project -Brain Computer Interface- at CLINATEC® located on the research technological center at CEA in Grenoble (Commissariat à l'Energie Atomique et aux Energies Alternatives). CEA/LETI/CLINATEC combines medical research and technological innovation at the same place to translate new solutions to patients. The Clinatec's mission is to accelerate the development and clinical validation of innovative medical devices based on medical needs and using state-of-the-art technologies. The goal of the “Brain Computer Interface” project at CEA/LETI/CLINATEC® is the proof of concept that it is possible to control complex effectors, such as a 4-limb exoskeleton, thanks to brain activity decoding to open new opportunities to motor disabled. The BCI project is based on the recording of neuronal activity at the level of cerebral motor cortex thanks to the WIMAGINE® implant dedicated to record ElectroCorticoGrams, ECoG. The real-time ECoG processing will allow controlling complex effectors with multiple degrees of freedom such as 4 limbs exoskeleton. A clinical research protocol « BCI and Tetraplegia » at CLINATEC® was authorized recently to include tetraplegic subjects. A set of decoding algorithms were developed by the CLINATEC® team to solve the problem of stable modeling. They are published in articles, defended by patents, tested in preclinical experiments in ECoG non-human primate data, and in healthy subjects using MEG (MagnetoEncephaloGraph) experiments. Show less



Imperial College London

• Research Services
• 700 & Above Employee

• Master Thesis Project : Deep Brain Stimulation

  • Feb 2017 - Sep 2017

  Parkinson's disease is a neurodegenerative illness which destroys the neurons creating the dopamine, a neurotransmitter which allows to have smooth and controlled movements. The daily life consequences of such disease are shaking, tremors, rigidity... Two cures were created to drop off the Parkinson's effect: L-Dopa injection (chemical substance) and deep brain stimulation (DBS). DBS is a continuous stimulation of a speci c brain area. A new method is studied during this project: Phase-Amplitude coupling based closed-loop brain stimulation platform for Parkinson's disease. This method has the bene tfit to avoid a con- tinuous stimulation for all life of the patient. It is based on the detection of speci c motor cortex patterns showing the requirement of a stimulation. Several techniques of detection are compared to determine the most effcient one. The De Hemptinne method fi ts more with the requirement of the system than the other algorithm. Moreover, under specifi c conditions, this method can be improved thanks to the in finite impulse response (IIR) masking fi ltering tech- nique. The second part of this project was the implementation in a hardware device called fi eld-programmable gate array (FPGA). Nevertheless, such algorithm required tremendous resources to compute entirely the method. A study on the required features has been led to underline that one FPGA was not suffcient. After optimization, a device is proposed to respond to an on line detection and stimulation of the specifi c Parkinson's pattern. Show less



ISAE-SUPAERO

• France
• Education
• 400 - 500 Employee

• Research Assistant Intern

  • May 2016 - Aug 2016

  EEG and FNIRS connectivity features for mental workload assessment. The study of human brain and mental workload is a really expanded area of research. The DCAS studies this area of research to improve aviation safety. To achieve this goal several measuring instruments of brain activity are used. The purpose of this study is to create and lead an experimental campaign composed of two experiments to test measuring methods as electroencephalogram (EEG) and functional Near-Infrared Spectroscopy (fNIRS) but also combine these two methods to overcome the weakness of each device and finally analyze the measures of connectivity. The tests allowed to assert that EEG when thoroughly processed can be used to identify on one hand if the subject does a task or just rests and on the other hand to benchmark the level of difficulty of the task. Moreover, it might be possible to find connectivity features between EEG signals and the oxygenation of the brain computed with the fNIRS Show less



Grenoble INP - Phelma

• Student Board

  • Sep 2015 - May 2016

  Organisation and communication of several events as week end for 400 students ( organisation of the location, of the food, and all the activities). Organisation and communication of several events as week end for 400 students ( organisation of the location, of the food, and all the activities).