Votre navigateur est obsolète !

Pour une expériencenet et une sécurité optimale, mettez à jour votre navigateur. Mettre à jour maintenant

×

Hassane AZZI

Backend Development Engineer C++ / Java / Python

Mobility: Île-de-France, Toulouse, Bordeaux
Activities: Software Development, Operations Research, Optimization, Machine Learning
Defense clearance: Secret Defense (currently valid)
Employed Open to opportunities
Professional Profile
Computer Science Engineer, option: Operations Research & Optimization (M2INFO_RO - 2016) from ENAC (Ecole Nationale de l'Aviation Civile), I apply my expertise in operations research, advanced algorithms, and software development (C++, Java, Python) to projects across various industrial sectors. My combined scientific and technical skills enable me to develop robust and optimized solutions tailored to challenges of performance, reliability, and operational efficiency.
  • Mission: As part of the E3S (Energy Smart Sailing Ship) project led by the Naval Engineering and Energy Research & Innovation Unit at SEGULA Technologies, the objective of this mission was to implement a hybrid intelligent energy management system (EMS) capable of managing the production and consumption flows of electric energy on board a long-distance cruising sailboat.

    The sailboat is equipped with renewable energy sources (solar panels, wind turbines, a hydrogenerator, a diesel generator, and a battery bank) installed on board, ensuring safety during navigation and maximum comfort for passengers (air conditioning, internet, television, shower, etc.).
Detailed Description
  • Development of a modeling approach and resolution of the robust optimization problem under uncertainties depending on weather conditions
  • Implementation of the software solution in a digital tool developed using GLPK-C++
  • Study of different solution scenarios based on weather forecasts
  • Analysis of uncertainties related to changing weather conditions during navigation
  • Technical Environment: C++11, GLPK, Microsoft Visual Studio 2017, Control Systems, Operations Research, Artificial Intelligence, Human-Machine Interaction, MATLAB