Abder Essebbar

Multichannel Active Noise Control Applied to Glass Windows. Environmental Noise classification using Deep Learning. - Machine Learning/Deep Learning (Data, Signal, Image, Speech, Language) - Project and Team Management - Signal and speech processing, Wireless Digital communications C, C++, C#, Python, Bash, .Net, Matlab/octave, OpenCV, Pytorch, Transformers, Tensorflow, Pandas, Scipy, Keras, SKlearn, KALDI, NLP/NLU, ASR/TTS, Spacy, NTKL, Git, SQLite, JIRA, Jenkins, Linux, Docker, GCP - Deep Learning (RNN, LSTM) and HMM - Python, Bash, Jira, Jenkins, GitHub, VM

Renault SW Labs : - Data mining, aggregation and fusion for Connected Vehicle (V2X and ADAS) - Low complexity Map-Matching using V2X GPS data - Wireless signals classification using CNN Altran Technologies: French Pre-Trained Models (FlauBERT, CamemBERT, mBERT) for NLP: - Aspect-Based Sentiment Analysis (ABSA) using SemEval 2016 dataset (https://www.scitepress.org/Papers/2021/103827/103827.pdf) - Text/multilabels Classification - Name Entity Recognition and Intent Classification - Information and Relation Extraction

Localisation for vocal assistant Bixby (EN->FR) (Samsung, Paris): - Recruitment and Team Management - ASR, Audio engineering, Language Model N-gram, Acoustic Model, ITN, WakeUp words ('Hi Bixby').

- Vibrations signals Classification using Machine Learning (SVM) , C++,Matlab, Git -Human activity recognition using Smartphone sensors and deep learning. MOOC Coursera certificates: "Advanced Python" (INRIA-UCA Nice) "Machine Learning" (Andrew Ng Stanford University) "Neural Networks for Machine learning" (G.Hinton, Toronto University)

Plateforme PEPITE/ Service Innovation Produit et aides aux PME. Montage des projets innovants pour les TPE/PME/ETI.

Projet télémédecine pour les pays émergents

Mastère Spécialisé Executif Management Technologique et Innovation

Noise and interference reduction in wireless digital communications, Robust receivers for Remote Keyless Entry (RKE) Collaboration with AISIN SEIKI (Kariya, Japan) and Toyota (Japan) Speech enhancement, noise reduction using multi-references sensors ASR voice command in car environment AM radio reception Improvement for Hybrid Vehicle Combined Robust receiver for Remote Keyless Entry (RKE) and Tire Pressure Monitoring System (TPMS). Exterior sounds detection and localization in moving vehicle environments.

Very Low bit rate coding DELP, VoIP (Investigation of Speech Recognition over IP Channels), Coding for Compact and Ultra compact TTS RealSpeak. Speech and audio coding, Variable Rate Coding, Speech Classification and VAD using SVM, LPC based coders, Pitch Tracking, Speech enhancement. Follow standardizations: ITU-T, ETSI, AURORA, MPEG and DoD.

PARACOM project at LIS (PARAmetric COMmunication, part of the Marine And Science Technology project – funded by the European Commission). Major research areas: Acoustic channel simulation, Equalization, Modulation/Demodulation, Implementation of complete simulator for underwater acoustic transmission. Experimental signals processing. Collaboration with Thomson Sonar Marconi (France) and University of Birmingham (UK).