Deep learning and speech processing specialist

Loria - MULTISPEECH Team- Pushing into production my thesis works- Debugging legacy js application- Tutoring intern

PhD thesis supervised by Slim Ouni, within the MULTISPEECH team, at Loria.

Interventions à la Faculté des Sciences et Technologies- Analyses et Conceptions Logiciels (M1)- Traitement de la parole (M1)- Outils Système (L2)- Algorithme et Programmation (L1)- Outils et Culture Numérique (L1)- Méthodologie du Travail Universitaire (L1)

Interventions à la FST (M2):- Deep Learning (DNN, Autoencoder, Convolutional Net, Sequence Model)

Interventions à Télécom Nancy- Fundamental Principles of Computer Systems (Binary/Hexa encoding, study of a simplified RISC architecture, ASM programming)- Mathematics Applied to Computer Science (Language Theory : regular and context-free languages)

Loria - LARSEN TeamWorking on an assisted living environment for elderly people, specially selecting and evaluating new features for a fall detection system using RGB-D camera (Kinect & ASUS Xtion) and machine learning (Hidden Markov Model).

Loria - MaIA TeamStudying the Reservoir Computing paradigm to train recurrent neural network, and particularly the Echo State Network abilities to predict and classify time-series.

Developping a web-based entreprise resource planning application.

Developping a web-based entreprise resource planning application.

Developping an expert system for pedagogical purpose.