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General Information

Full Name Ismael Ben-Yelun
Languages English, Spanish, French

Education

  • 2024
    PhD in Aerospace Engineering
    Universidad Politécnica de Madrid, Spain
    • International. Mention from University of Cambridge (UK). Cum Laude.
    • Honorable Mention in the Technological and Experimental Sciences 2024 Award of the Royal Academy of Doctors of Spain
    • Topology Optimization and Data‑Driven Approaches for Functionally Graded Metamaterials. Advisors.
      • Prof. Dr. Francisco Javier Montáns
      • Dr. Luis Saucedo-Mora
  • 2019
    MSc in Aeronautical Engineering
    ETSIAE, Universidad Politécnica de Madrid, Spain
    • Airbus Chair award for the best record in the 'Aircraft' specialization
    • Final thesis. Machine Learning Prediction of CFRP Frame Reserve Factors, acknowledged with honors
  • 2017
    BSc in Aerospace Engineering
    ETSIAE, Universidad Politécnica de Madrid, Spain
    • Excellent academic record (top 5% students)

Experience

  • 2020-now
    Assistant Professor of Solid Mechanics
    ETSIAE, UPM, Spain
    • Group of Advanced Modeling and Simulation of Nonlinear solids (GAMOSINOS) within the Department of Aircraft and Space Vehicles (ETSIAE)
    • Completed a PhD "Cum Laude" with international mention from University of Cambridge
    • 240h taught as assistant professor in Elasticity and Strength of Materials, Solid Mechanics, Finite Element Modelling
    • Supervision of 10 end-of-degree projects
  • 2024
    Postdoctoral Research Fellow
    ParisTech Arts et Métiers Institute of Technology (ENSAM), France
    • Rank-reduced autoencoders for direct and inverse analysis in topology optimization
    • 3 months
  • 2023
    PhD Research Fellow
    ParisTech Arts et Métiers Institute of Technology (ENSAM), France
    • Graph Neural Networks surrogate modeling for effective behaviour of lattice materials
    • Inverse design of lattice materials and metamaterials enabled by this surrogate
    • 5 months
  • 2022-2023
    PhD Research Fellow
    Deparment of Engineering, University of Cambridge, UK
    • Robust topology optimisation of lattice structures with spatially correlated uncertainties
    • Physics-based prior modeling through Stochastic PDE
    • 5 months
  • 2019-2020
    Stress & ML Engineer Intern (MINDS Scolarship)
    Airbus Defence and Space, Spain
    • Surrogate models development for airframe projects related to structural analysis with Neural Networks
    • Full Data Analytics cycle
      • Exploratory Data Analysis
      • Feature Engineering and Machine Learning
      • Neural Networks prediction
      • Post-processing, visualization and error quantification
    • 12 months
  • 2018-2019
    Graduate Research Assistant
    ETSIAE, UPM, Spain
    • Data-driven methods developed to determine hyperelastic materials energy function and the material behaviour
    • 12 months
  • 2018
    Simulation Engineer (internship)
    Department of Defence, GMV, Spain
    • Development of Matlab model for the simulation of static alignment phase of Inertial Measurement Units
    • 2 months
  • 2017
    Manufacturing Engineer (internship)
    Airbus Defence and Space, Spain
    • Manufacturing plant for the HTP of A350 aircraft
    • 5 months
  • 2016-2017
    Undergraduate Research Assistant
    ETSIAE, UPM, Spain
    • Python model to optimizate the electricity cost in a hydraulic plant
    • 9 months

Honors and Awards

  • 2024
    • Honorable Mention in the PhD for the Technological and Experimental Sciences 2024 Award, Royal Academy of Doctors of Spain (RADE)
    • Cum Laude in Thesis Dissertation, UPM
  • 2023
    • "Editor's Choice Article" Prize to GAM paper, MDPI Materials
    • Excellent Teaching Faculty Evaluation, UPM
  • 2022
    • "Flap de Oro" Award to best professor of the 2nd year of the BS, ETSIAE (UPM)
  • 2019
    • Diploma for best record in "Aircraft" specialization (MSc), Airbus Chair (UPM)

IT Skills

  • Programming: Python, Matlab, Julia
  • Machine Learning: TensorFlow, Keras, PyTorch, scikit-learn, tensorflow-gnn, GPy
  • Finite Element Analysis: HyperWorks, Nastran, Ansys, Ferrite
  • Numerical Analysis: NURBS, SparseArrays
  • Optimization: NLOpt, BOHB
  • Natural Language Processing: NLTK, Gensim
  • Visualization: Matplotlib, Seaborn, Plotly, ParaView, Blender
  • Web Development: HTML
  • Version Control: Git, GitHub
  • Office: LaTeX, MS Office, overleaf
  • Operating Systems: Windows, Linux
  • Others: Jupyter, Anaconda

Professional Memberships

  • COMETAS (European Project) technical reports and content network manager on YouTube
  • In charge of GAMOSINOS research group social media management (YouTube, Twitter/X, LinkedIn)
  • Nominated for membership on the Early Career Editorial Board (ECEB) of Elsevier's journal Computers & Structures
  • Member of Young investigators Section (SEMNIj) of SEMNI (Sociedad Española de Métodos Numéricos en Ingeniería)