PhDs funded by PERSYVAL-lab

2017

Matteo CIOCCA

[Project-Team RHUM] Safe and Appropriate Navigation among People for Service Robots

2016

Andrei POPESCU

[Co-supervised thesis] On control approaches for estimation purposes - Application to tunneling current in MEMS

Cong Bang HUYNH

[Co-supervised thesis] Méthodes combinatoires en mécanique statistique

Chhayarith HENG UY

[Co-supervised thesis] Apprentissage et adaptation au canal de propagation pour liens radiofréquence ultra-faible consommation dédiés aux applications à très grande autonomie

Nachwa ABOUBAKR

[Co-supervised thesis] Observing and Modeling Human Activity

Xiaojie GUO

[Project-Team Caserm] Formal proofs for the analysis of real-time systems in Coq

Stephan PLASSART

[Project-Team Caserm] On-line optimization in dynamic real-time systems

Maha ELBAYAD

[Project-Team DeCoRe] cross-lingual image captioning using deep recurrent neural networks

Anuvabh DUTT

[Project-Team DeCoRe] Incremental Learning for Visual Recognition

Baptiste TREY

[Project-Team GeoSpec] Champ de vecteurs, complexité et diffusion

Raphaël FRISCH

[Project-Team MicroBayes] Conception de machines de calcul stochastiques pour l'inférence probabiliste, applications à la localisation et à la séparation de sources sonores

Florent PRIVE

[Project-Team Persyvact2] Proposing Genetic risk score based on statistical learning

Karina ASHURBEKOVA

[Project-Team Persyvact2] Etude et développement de méthodes de classification de graphes, application en neuroimagerie

Omar Samir MOHAMMED

[Project-Team RHUM] Acquiring Humain Robot Interaction skills with transfer learning techniques

2015

Florent BOUCHARD

[Co-supervised thesis] Bilinear blind source separation of EEG recorded simultaneously on several subjects

Fairouz ZOBIRI

[Project-Team e-BaCCuSS] Optimization of the sampling for event-based control and signal processing

Georgios CHRISTODOULIS

[Project-Team HEAVEN] Adaptation of a HPC runtime system to FPGA

Brice OLIVIER

[Project-Team Oculo Nimbus] Joint analysis of eye-movements and EEGs using coupled hidden Markov and topic models