Ilyas El Khalloufi

Software R&D team leadership

Evolutionary and corrective maintenance of an AI IoT data management platform

Management of the data valorization process: ingestion, processing, display

Design of an IoT platform

Development of Artificial Intelligence models

- Artificial Intelligence ML (classification, prediction, generation ...)

- Data analysis and extraction of application descriptors

- Embedded image processing

Electronics/IT:

- Development of real-time applications on SoC

- Development of embedded multithreaded C/C++ applications

- Integration of a new camera into the machine framework (HMI, drivers, tests, documentation, etc.);

- Design of processing algorithms for quality verdict extraction;

- Integration of functional encoded indicators (transfers, synchronization, metadata...);

- Design of a test bench (feasibility, validation, and integration).

- Qualification/optimization of image processing algorithms;

- Modeling and extraction of dynamic descriptors;

- Design of classifiers for automatic recognition;

- Design of automated metrics for performance measurement.

- Design of applets (Visual Applet);

- Design of low-level drivers (CXP, CAN, Genicam...);

- Design of distributed processing architecture on FPGA/µP;

- Stabilization.

- Design of test applications for software validation;

- Deployment and maintenance of automated software test campaigns;

- Design of VxWorks emulation modules targeted for win10;

- Development of HMIs for prototyping.

- Agile working;

- Project management for new machine feature integrations;

- Risk analysis;

- Reporting.

Technological and bibliographic monitoring (ultrasonic imaging, AI, signal/data processing, acoustic instrumentation...);

Development of a 3D target reconstruction software from ultrasonic signals with a very low signal-to-noise ratio (IEC 60 880 standard – nuclear systems):

o Development of intelligent software in C++ under Qt;

o Design of a 3D GPU viewer for 2.5/3D results display;

o Development in C++/Python of signal processing algorithms for ultrasonic imaging;

o Development in C++/Python of 2/2.5/3D image processing algorithms;

o Integration of a compensation model for biases related to the intelligent ultrasonic transducer (synthetic focusing);

o Development of a learning model for breaks, for detecting liquid/solid and solid/liquid interfaces;

o Design of an automatic configuration tool for reconstruction models and addition of the "plug & play" feature;

o Algorithm optimization;

o Creation of software training (Python notebooks and user manual writing);

o Testing (unit and integration) and qualifications.

Participation in an international collaboration project (France, Japan, and India) on acoustic instrumentation in complex environments (fast neutron reactor with sodium coolant) as assistant project manager and specialist (18 months):

o Technical presentations;

o Writing qualification reports;

o Participation in specialized seminars.

Design of a data processing card (µC/FPGA):

o Feasibility study and writing of specifications;

o Project management;

o Development of SPI driver(s)/controller(s);

o Development of monitoring software;

o Integration of image and signal processing on FPGA;

o Integration of a static neural network (synaptic coefficients calculated offline and loaded at deployment) on FPGA;

Development of a C++ library for data processing associated with ultrasonic imaging compatible with IEC 60880 standard (nuclear systems) and real-time compatible:

o Parallelization of processing;

o Optimization functions and data access formats (DAT and HDF5);

o Integration of two artificial intelligences: a neural network numerically models sensor defects, and an SVM improves the target reconstruction signal-to-noise ratio;

o Writing documentation;

o Publication of work in signal processing in the international journal “Ultrasonics”.

Control of a Labview control system;

Data and signal processing (Python/C++/VHDL):

o Multimodal approaches (sound and images);

o Modeling (statistical, behavioral, fundamental, fusion);

o Computer vision using artificial learning approaches;

o Design of 4 innovative 3D imaging algorithms;

o Synthetic focusing and beamforming;

o Dynamic image segmentation algorithm with online labeling.