Organisateurs

Organisateurs

Organisateurs

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Calendar

2:00 pm: Digital Health, Biology and Earth: Part VI

2:00 pm: PhD Seminars Special Edition

2:00 pm: Digital Health, Biology and Earth: Part VII

Sujets d’intérêt

Archives

Calendar

2:00 pm: Digital Health, Biology and Earth: Part VI

2:00 pm: PhD Seminars Special Edition

2:00 pm: Digital Health, Biology and Earth: Part VII

Here we are: the team in charge of organising the PhD Seminars!

NATHALIE GAYRAUD

Responsable du site web et du groupe iris.

“Je suis une candidate doctorale au sein de l’équipe ATHENA. Le sujet de mon doctorat porte sur l’étude de la variabilité des signaux EEG dans le contexte des Interfaces Cerveau-Machine. Cela implique donc pas mal de statistiques, du machine learning, de l’algèbre linéaire, et aussi un peu de géométrie Riemannienne.

Les Séminaires des Doctorants me plaisent beaucoup: Je pense que c’est vraiment un bon moyen d’interaction entre doctorants (et entre jeunes chercheurs en général), tant sur le plan professionnel que sur le plan social. J’y ai déjà rencontré des personnes avec lesquelles je collabore aujourd’hui, et avant tout, je me suis fait des amis!

Pendant mon temps libre, j’aime regarder des films et des séries, j’aime lire, et porter mon pyjama. J’adore également voyager, et monter sur les arbres. (mais bon, pas en pyjama quand même…)” – Nathalie

DORA KARVOUNIARI

Responsible for inviting speakers, schedule and communication

” I am a PhD student in the Biovision team at Inria Sophia-Antipolis. During my thesis, I work on modelling the mechanisms that generate retinal waves, the natural mechanism shaping the visual system during development. I enjoy using physics to solve neuroscience problems and neuroscience to understand how the brain works.

PhD seminars for me are the perfect opportunity to share beautiful science in a friendly environment and have interesing discussions among peers. After all everything is better when you share it.

I love travelling, reading books, pandas, coffee and Paris! ” – Dora

KONSTANTINOS MAVREAS

Responsable des listes de participants et des demandes de certificat

“I am a PhD candidate in the APICS Team of INRIA. My PhD is about Inverse problems relative with electromagnetic phenomena. The thing I enjoy the most in my work, is the study of the equations from Maxwell, Euler, Möbius and many other GIANTS of mathematics and physics!!!

The PhD seminars are an opportunity to communicate with other students and share your ideas. It is also a way to prepare yourself before a conference talk, and get feedback from people from many different scientific areas!!!

In my free time, I like to read books, go hiking, watch movies, play chess and visit museums.” – Konstantinos

MILICA TOMASEVIC

DIMITRA POLITAKI

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Sujets d’intérêt
applied mathematics asteroid exploration biological systems cafe adstic combinatorial optimization communication conductivity estimation dynamics EEG fixed point loops fluid dynamics functional emmbeddings fusion plasmas Galerkin time domain methods git health-biology infection spread invariant manifolds marketing mesh microscopy modeling nanophotonics neuronal cells neurons numerical simulations optimal transport optimisation optimization pattern recognition PDE protein function python radar applications regularization retina routing applications scientific dissemination sed shape matching source localization stochastic gradient algorithm synaptic plasticity variability workshop
Archives

12 2:00 pm: Digital Health, Biology and Earth: Part VII juin 12, 2017 2:00 – 4:00 Chairman Pascal Helson - TOSCA Talk 1 Title: Optimal Transport Applied to Brain Computer Interfaces Speaker: Nathalie Gayraud - ATHENA Abstract: Brain Computer Interfaces (BCI) allow their user to control a machine via acquisition of electroencephalographic signals (EEG), which are subsequently processed and transformed into commands. This transformation process can be described in three steps: at the beginning, the signal undergoes pre-processing, denoising and temporal division; Then, each signal fraction is transformed into a feature vector; Finally, these vectors are classified in a number of classes, which varies according to the BCI application. However, EEG signals have a low signal-to-noise ratio; To this is added the important cross session and cross suject variability. Therefore, calibration of the BCI, during which the user is required to perform a predefined task, must always precede its use. This allows the collection of labeled data, which is used in the training of the classifier of the current session. Nevertheless, this process can take several minutes, while being frustrating for the user. To date, various methods are used to improve the quality of acquired signals, while attempting to increase class separation. The optimal transport method is based on transport theory, where one seeks to find the optimal transport of some specified amount of mass from one domain to another. By applying this method, new, unlabeled data can be transported on the domain of the existing, labeled data and classified with the existing classifier. Talk 2 Title: Dipole localization in Moon rocks from sparse magnetic data. Speaker: Konstantinos Mavreas - APICS Abstract: Moon has a really interesting magnetic behavior! Today it has no global magnetic field, nevertheless there are evidences showing that it used to have one in the past for billions of years. Paleomagnetic scientists try to understand the reasons of the creation and the evolution of this ancient magnetic field (which suddenly disappeared few million years ago), by studying the remanent magnetism of surface Moon rocks. In our study, we consider dipole recovery issues from sparse magnetic data, with the use of best quadratic rational approximation techniques, together with geometrical and algebraic properties of the poles of the approximants. An open discussion on the PhD Seminars will follow the two talks. More