Michael Kofler
Michael Kofler

PhD Student

I am a PhD student at TU Wien, working on shape and topology optimizing by employing neural networks as a means of geometry parametrization.

Experience

  1. Siemens Mobility

    Working Student
    Responsibilities include the creation of 3D models and 2D drawings of metro interior parts using PTC Creo, maintenance of requirements list, as well as revision and refactoring of mechanical calculation documentation
  2. TU Wien

    Student Assistant
    Supervised projects done by groups of students in the course 325.041 Continuous Simulation.
  3. Porsche Motorsport

    Intern
    Contributed to the development of software tools and methods for the Performance Formula E department.
  4. TU Graz Racing Team Formula Student

    Subgroup Leader
    Led the Data Acquisition subgroup and developed various tools and simulations for vehicle testing and analysis.
  5. Geier GmbH

    Intern
    Involved in postprocessing of manufacturing parts, assembly of gearboxes, and creation of 3D CAD models.
  6. Reha-Technology

    Intern
    Verified bill of materials, created 2D drawings, and communicated with suppliers.

Education

  1. M.Sc. Mechanical Engineering

    TU Wien
  2. B.Sc. Mechanical Engineering

    TU Graz
Publications
(2025). On design, analysis, and hybrid manufacturing of microstructured blade-like geometries. Computer-Aided Design.
(2024). Multidisciplinary Design Optimization Framework for Morphing Wing using Metamaterials. 2024 New Trends in Aviation Development (NTAD).
Conference Presentations
(2025). A Data Driven Constitutive Model for the Elasto-Damage Response of Transversely Isotropic Materials.
(2025). Optimization of Lattice Structures Using Neural Networks as Immersed Boundary Representations.
(2024). Optimization of the Spatially Graded Superelastic Lattice in a Morphing Structure.
(2024). Application of Structural Optimization on Lattice Structure Design using Superelastic Material.