Mouna Labiadh

Proposition and construction of a Voice Activity Detection solution to discriminate speech and non-speech segments from audio signals, based on new advances in the field of deep learning. The internship was part of the larger research project which aims to design a health smart home’s system that is based on audio analysis technology. - Concepts : Voice Activity Detection, Automatic Speech Processing, Deep learning, Recurrent Neural Networks. - Technologies : Python, Tensorflow, LibROSA, Numpy.

Designing and building of an automated code generation tool: generation of a Spring Security role-based access control engine for a web application and from its design models. - Concepts :Model Driven Engineering, Model Driven Security, Role-based Access Control. - Technologies : Spring MVC, Spring Security, EMF, Sirius, Papyrus, Acceleo, QVT Operational, B4MSecure, SecureUML, ORBAC2.

Designing and Building a sales management and accounting solution based on Odoo (formely OpenERP): Implementation of Odoo, the open source enterprise resource planning, and the development of custom modules and addons. - Technologies: Odoo, OpenERP, Python, QWeb, OpenObject, PostgreSQL

Building an Android application to notify system administrators when receiving an email from Nagios, the network monitoring tool, in their Lotus Notes mail inbox. - Technologies: Android, IBM Lotus Notes, IBM Lotus Domino, SOAP, Web Services

Machine learning, Data mangement, Object recognition, Probabilistic data mining, High perfomance computing, Distributed systems

Software design, Software architecture, Software programming, Data bases, Data mining, Data analysis, Big data ecosystem, Operational research,Augmented reality/ Virtual reality, Web services, continuous integration