Amadou Assoumane

Signal Processing & Data Science

• • Technical leadership on ML/DL and signal processing algorithms for acoustic and vibratory data analysis (100 kHz – 3 MHz).

• • Development of a UNET model reducing blade deflection estimation error by 40% (MSE).

• • Creation of a tip-timing data simulator based on a 1DOF mechanical modeling of the blades.

• • Management of the Vibration Dynamics / Tip-Timing roadmap and animation of the Signal/Image Processing pole.

• • Mentoring of 4 design engineers and supervision of a CIFRE PhD thesis (Safran-ONERA).

• • Technologies: Python, MATLAB, Keras, TensorFlow, Git, Agilis, LATEX .

Audio Signal Processing

• • Development of cross-talk cancellation filters through optimization (Lagrange multipliers).

• • Implementation of beamforming techniques for loudspeakers with constrained optimization (mini-max).

• • Delivery of MATLAB and C codes for integration on embedded audio targets.

• • Technologies: MATLAB, C/C++, MaxMSP, Git.

Signal Processing & Health Monitoring

• • Development of advanced algorithms for HF signal processing (vibratory, electrical, acoustic): thrust reversers, bearings, planetary gears, Li-Ion batteries.

• • Creation of deterministic/random source separation and demodulation algorithms (Kalman, H∞).

• • Blind extraction of instantaneous speed by non-linear Kalman filtering and particle filtering.

• • Delivery of MATLAB and Python libraries to Safran entities for integration into Health Monitoring systems.

• • Results: 2 TRL 2 technologies, 3 IEEE articles, 2 conferences, 7 patents filed.

• • Technologies: MATLAB, Python, scikit-learn, Pandas, LATEX .