MAB

Mohamed-Amine Bouhle

Research Engineer

Research & Development Engineer, SNECMA Safran

I advanced state of the art SNECMA in Bayesian modeling for problems with up to 100 parameters, with increased accuracy (relative error) of up to 28% on several industrial benchmarks

I designed and developed an automate Bayesian optimization framework for designing 3D turbomachinery blades; validated on a 3D turbine blade test case at SNECMA Safran

Skills:

Unix/Linux, Python, MATLAB, Statistics, Optimization, Bayesian Optimization, Prediction Models, Computer Science, Gaussian Process, Supervised & Unsupervised Learning, Clustering, Reduction Techniques (PCA, SVD, PLS), Data Analysis & Visualization, Multifidelity Modeling, Mixture of Experts, Aerospace Engineering