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Diplomé de Master 2 Informatique esanté, j'ai découvert la recherche en Licence 3 avec les algorithmes évolutionnaires adaptés à la théorie des graphes. J'ai ensuite réalisé de la recherche durant mon master sur un NP problème de la théorie des graphes. Maintenant, depuis mon Master 2, je réalise des recherches en neurosciences et en traitement de signal EEG.

Ali Rajabi Mashhadi is a Ph.D. student at GRAMFC (INSERM U1105) in neuroscience. His specialty is biological signal processing and pattern recognition. He holds an M.Sc. in biomedical engineering from the Amirkabir University of Technology, and a B.Sc. in electrical engineering from the Ferdowsi University of Mashhad. His current research project focuses on using fNIRS and EEG modalities to study the pathologies of prematurity and congenital heart disease.

I am currently pursuing a PhD in Neuroscience at the University of Picardie Jules Verne, under the supervision of Sahar Moghimi and Barbara Tillmann. My research focuses primarily on eye-tracking to study how infants, including both preterm and full-term, respond to singing and other social stimuli. We aim to understand how early exposure to music influences their visual attention and social behaviour. In addition to eye-tracking, we analyze behavioural responses, exploring how these aspects contribute to their social and cognitive development.

Chenming YAO is a PhD student in Neuroscience-Signal Processing, supervised by Prof. Fabrice Wallois and Prof. Laura Routier. The project is funded by the EU project PerEpi, which aims to develop personalized diagnosis and treatment plans for epilepsy patients, in collaboration with Prof. Carsten Wolters and Prof. Sampsa Pursiainen. His research direction is the new method and application of epilepsy source localization based on pediatric patients.

I am a Lebanese PhD student currently working at GRAMFC under the supervision of Pr. Fabrice Wallois and co-supervision of Pr. Olivier David. My research focuses on analyzing spontaneous high-resolution EEG data in premature neonates to study changes in the complexity of endogenous brain generators—particularly Theta Temporal Activity in coalescence with Slow Waves (TTA-SW)—as well as the complexity of post-event activity across gestational ages (25–32 weeks).
I hold a Bachelor's degree in Biomedical Engineering from Rafik Hariri University in Lebanon and a Master's degree in Computational Neuroscience and Neuro-engineering from Université Paris-Saclay.

My research primarily utilizes MEG/EEG to investigate :
- Neurodevelopment in fetuses, premature, and full-term infants.
- Infant neuropathologies such as epilepsy

Machine learning, engineer studying the third trimester of gestation

Intéressé de la recherche depuis quelques années. J'ai voulu réunir la musique/ma passion à mon domaine de travail. Je trouve la santé, et encore plus le développement, intéressant et enrichissant.