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.
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.
Scheduling of landings at an airport
École Nationale de l'Aviation Civile (ENAC)
October 2016
to January 2017
Student Project
Toulouse
- Airport traffic management poses many optimization challenges, making air traffic difficult to predict. In this context, assigning parking stands to aircraft, finding optimal landing sequences on one or multiple runways, as well as planning strategic taxi routes are major issues for air navigation services.The goal of this mini-project is to develop a flight sequencing strategy for arrivals at airports to avoid congestion caused by closely spaced aircraft arrivals.
Detailed Description
- Conducting a comparative study between several optimization models and approaches, namely: two-level stochastic optimization, robust optimization (with scenarios)
- Modeling the problem as an Integer Linear Programming (ILP) problem
- Implementing the ILP solution with Python using the PuLP optimization library
- Performing some tests on the solution and evaluating the impact of the number of runways on the objective function of the problem
- Technical Environment: Python 3, Microsoft Visual Studio 2010, optimization tools (PuLP), Linux, Air Traffic Management (ATM)
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