1. Topological derivative for PDEs on surfaces
    with Peter Gangl
    [preprint, 2020]

  2. Fully and Semi-Automated shape differentiation in NGSolve
    with Peter Gangl, Michael Neunteufel, Joachim Schöberl
    [preprint, 2020]

  3. First-order differentiability properties of a class of equality constrained optimal value functions with applications to shape optimization
    [preprint, 2020]

  4. Asymptotic analysis and topological derivative for 3D quasi-linear magnetostatics
    with Peter Gangl

  5. LQ-based Optimal Actuator Design for Vibration Control
    with M. Sajjad Edalatzadeh, Dante Kalse, and Kirsten A. Morris
    [preprint, 2019]
  6. A shape optimization approach for electrical impedance tomography with pointwise measurements
    with Yuri Flores Albuquerque and Antoine Laurain
    [preprint, 2019], submitted to Inverse Problems.

  7. Accepted and published work (refereed)

  8. A simplified derivation technique of topological derivatives for quasi-linear transmission problems
    with Peter Gangl
    [preprint], Accepted in ESAIM:COCV.
  9. Topological sensitivities via a Lagrangian approach for semilinear problems
    [preprint], Accepted in Nonlinearity.
  10. On the explicit feedback stabilization of 1D linear nonautonomous parabolic equations via oblique projections
    with S. S. Rodrigues
    IMA J. Math. Control Inform. [preprint]
  11. Weakly-normal basis vector fields in rkhs with an application to shape newton methods
    with Alberto Paganini
    SIAM J. Numer. Anal. [preprint]
  12. Shape optimization via nearly conformal transformations.
    with Jose A. Iglesias and Florian Wechsung
    SIAM J. Sci. Comput. [preprint]
  13. Optimal actuator placement and shaping based on shape calculus.
    with Dante Kalise and Karl Kunisch
    Math. Models Methods Appl. Sci. [preprint]
  14. Reproducing kernel hilbert spaces and variable metric algorithms in pde-constrained shape optimization.
    with Martin Eigel
    Optim. Methods Softw. [preprint]
  15. Parametric semidifferentiability of minimax of lagrangians: averaged adjoint state approach.
    with Michel C. Delfour
    J. Convex Anal. [preprint]
  16. Shape optimization for a class of semilinear variational inequalities with applications to damage models.
    with Christian Heinemann
    SIAM J. Math. Anal. [preprint]
  17. Minimax differentiability via the averaged adjoint for control/shape sensitivity.
    with Michel C. Delfour
    IFAC-PapersOnLine (open access)
  18. Distortion compensation as a shape optimisation problem for a sharp interface model.
    with Michael Hintermüller and Dietmar Hömberg
    Comput. Optim. Appl. [preprint]
  19. A structure theorem for shape functions defined on submanifolds.
    Interfaces Free Bound. [preprint]
  20. Distributed shape derivative via averaged adjoint method and applications.
    with Antoine Laurain
    ESAIM Math. Model. Numer. Anal. [preprint]
  21. Shape optimization with nonsmooth cost functions: from theory to numerics.
    SIAM J. Control Optim. [preprint]
  22. Shape optimization of an electric motor subject to nonlinear magnetostatics.
    with Peter Gangl, Ulrich Langer, Antoine Laurain and Houcine Meftahi
    SIAM J. Sci. Comput. [preprint]
  23. Minimax Lagrangian approach to the differentiability of nonlinear PDE constrained shape functions without saddle point assumption.
    SIAM J. Control Optim. [preprint]
  24. Shape differentiability under non-linear PDE constraints.
    Internat. Ser. Numer. Math.