Mahmoud Khodjet-Kesba

- Development of innovative signal processing algorithms for UWB automotive radars with Matlab/Python: Noise reduction, CFAR, Kalman Filter, AOA, signal classification, …etc.

- Gestures recognition by applying Deep Learning algorithms: CNN, LSTM (PyTorch)

- Prototype implementation of signal processing including algorithm optimization for low memory footprint, real-time behavior, fixed point, ...

- Test and validation of radars in test benches and by using an equipped car in outdoor.

- Contribution in selecting RF chips, microcontrollers, and antennas of next generation automotive radars.

- Presentation and demonstration of radar products to different customers.

- Support transfer of prototype implementations to uC / DSP platforms by SW team.

- Development of automotive radar algorithms with Matlab: CFAR, FMCW, Beamforming, high resolution algorithms (MUSIC, ESPRIT), interferences mitigation, …etc.

- Contribution in selecting RF chips and microcontrollers of next generation automotive radars.

- C code and dll auto generation with Matlab Coder.

- Implementation of signal processing algorithms with Visual Studio and Eclipse.

- Implementation and integration of C code corresponding to Mmwave Texas Instrument chips.

- Validation of signal processing algorithms with SIL tools (Simulation In the Loop).

- Test and validation of radars in test benches and by using an equipped car in outdoor.

- Support to different R&D teams of the group to solve issues related to radars like clustering, classification and tracking.

- Presentation of radar algorithms to customers.

- Design and development of level meter sensors like radar and TDR.

- Development and implementation of signal processing algorithms on embedded devices.

- Patents management.