Internship | Machine learning for acoustic quality control
Design machine learning algorithms for detecting and classifying vibro-acoustic anomalies.
Internship | AI sound recognition and audio quality
Design and implement AI tools to detect audio anomalies and quantify signal quality.
Internship | Embedded Software Development
The main goal of this project is to implement advance signal processing tools and functionalities fo...
Internship | Active and Reactive intensity for NVH problems
The main goal of this project is to use both 3D active and reactive sound intensity information to s...
Internship | Signal processing for acoustic vector sensors
Design and optimize an array of acoustic vector sensor for source localization and quantification. ...
Internship | Image processing for Sensor Tracking
The main goal of this project is to design a robust and efficient algorithm to track a moving sensor...
Software Developer for Velo Platform
Desktop application software development based on object oriented Matlab, Java and C++
Internship | Studying squeak and rattle noise
The main goal of this project is to create an innovative method able to identify, classify and rank ...