Alexandre Eid Email & Phone Number

St.-Ouen, Île-De-France, France

Paris Area, France

Predict the occurrence of future system faults robustly with sparse data with a data-driven approach.- Conducted state of the art on artificial intelligence methods used in Prognosis and Health Management (PHM), picture segmentation, time series alignment, and optimal transport- Developed a PostgreSQL database to ease data curing- Created a new clustering method with uncertainty for time series using a deep neural network as its core- Created a new intern quality indicator for time series clustering- Used artificial data generation to train the neural network and alleviate the lack of data- Created a new prognostics method with an uncertainty measure to obtain the Remaining Useful Life (RUL) of the actuator- Developed a new time series alignment method not requiring any hyperparameter selection- Conceived a new PHM method designed to work with operational data with several operating conditions- Supervised an engineering trainee- Synthetized and presented data and algorithms regularlyI did my work in collaboration with Ampère Laboratory - CNRS UMR 5005

Lyon, Auvergne-Rhône-Alpes, France

Teaching assistant in L2, L3, and M1 levels

Région De Paris, France

Extracted default signatures from an electromechanical actuator in diagnosis procedure.- Conducted state of the art on nonlinear friction modeling- Developed and integrated a Simulink library of friction - Black-box identification with metaheuristic (Differential Evolution Optimization)- Evaluated capacity of real-time implementation- Optimized code for real-time implementation

La Tour De Salvagny

Designed and developed a traceability solution for a Personal Protection Equipment's product line.- Analyzed and responded to customer's need- Conducted a state of the art and a benchmark on RFID technology and Inertial Measurement Unit- Carried out a project with a multidisciplinary team- Developed a prototype to capture one's arm movement in real-time using Unity3D- Validated the solution during the development cycle- Secured and deployed the solution- Documented and presented the client's solution

Lisbon Area, Portugal

Optimized indoor navigation of an autonomous robot on ROS (real-time and multi-agent OS for robotic) platform in C++ and Python- Conducted a state-of-the-art of surroundings recognition (camera, beacons)- Modified the sensor fusion algorithm to optimize geo-tracking- Modified the particle filter in the Monte Carlo algorithm to make the robot robust to external disturbances- Tested and validated the solution in the environment- Documented and presented the solution in the firm

Doctor Of Philosophy - Phd, Mathematics And Computer Science

Engineer’S Degree, Electronics, Computer Sciences/It, Control

Specialized in advanced command of complex systems

Theoretical And Mathematical Physics, Student

Three-year intensive program in mathematics and physics preparing for the national competitive exam for entrance into engineering school.