Machine Learning Engineer
Roketsan
Machine Learning Engineer
Hüseyin Avni Yaşar
M.S Graduate of Computational and Applied Mathematics, Middle East Technical
University - METU
Hüseyin Avni Yaşar was born in 1995. Upon graduation from high school in Turkey, he was admitted to Mechanical Engineering program at METU where he received her B.Sc. degree in 2018 and his M.S degree in 2023 from Applied Mathematics Instite of METU.
Roketsan
Roketsan
Middle East Technical University
Middle East Technical University
Abstract
We compare ANN-based and adaptive quadratic neural network-based multi-fidelity approaches for predicting buckling loads of stiffened panels, focusing on accuracy vs. data/training cost…
Abstract
A compact learning pipeline estimates near-ground Cn² from standard meteorological features and ancillary signals, targeting practical deployment with improved accuracy and stability over baseline regressors.
Abstract
We embed governing-equation terms into a PINN formulation to predict critical heat-flux on an axisymmetric blunt body across Mach/altitude conditions, achieving accuracy comparable to CFD with markedly reduced runtime.
Abstract
A VAE encodes 2D nose-cone geometries to a compact latent; a conditional MLP maps latent + flight conditions to heat-flux, delivering fast inference on thousands of cases with strong generalization to holdout geometries.
Hüseyin Avni Yaşar
Machine Learning Engineer
Roketsan Inc.
yasarr.avni@gmail.com
Hüseyin Avni Yaşar
Check out my research on Google Scholar