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Assistant Professor at TU Wien

Contact Information

TU Wien
Institut für Analysis und Scientific Computing
Wiedner Hauptstraße 8-10
1040 Wien, Austria


green area on the 6th floor.



  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]

Accepted and published work (refereed)

  1. A shape optimization approach for electrical impedance tomography with pointwise measurements
    with Yuri Flores Albuquerque and Antoine Laurain
    Inverse Problems (2020), [preprint]
  2. A simplified derivation technique of topological derivatives for quasi-linear transmission problems
    with Peter Gangl
    ESAIM:COCV (2020), [preprint]
  3. Topological sensitivities via a Lagrangian approach for semilinear problems
    Nonlinearity (2020), [preprint]
  4. On the explicit feedback stabilization of 1D linear nonautonomous parabolic equations via oblique projections
    with S. S. Rodrigues
    IMA J. Math. Control Inform. (2019), [preprint]
  5. Weakly-normal basis vector fields in rkhs with an application to shape newton methods
    with Alberto Paganini
    SIAM J. Numer. Anal. (2019), [preprint]
  6. Shape optimization via nearly conformal transformations.
    with Jose A. Iglesias and Florian Wechsung
    SIAM J. Sci. Comput. (2018), [preprint]
  7. Optimal actuator placement and shaping based on shape calculus.
    with Dante Kalise and Karl Kunisch
    Math. Models Methods Appl. Sci. (2018), [preprint]
  8. Reproducing kernel hilbert spaces and variable metric algorithms in pde-constrained shape optimization.
    with Martin Eigel
    Optim. Methods Softw. (2017), [preprint]
  9. Parametric semidifferentiability of minimax of lagrangians: averaged adjoint state approach.
    with Michel C. Delfour
    J. Convex Anal. (2017), [preprint]
  10. Shape optimization for a class of semilinear variational inequalities with applications to damage models.
    with Christian Heinemann
    SIAM J. Math. Anal. (2016), [preprint]
  11. Minimax differentiability via the averaged adjoint for control/shape sensitivity.
    with Michel C. Delfour
    IFAC-PapersOnLine (open access) (2016)
  12. Distortion compensation as a shape optimisation problem for a sharp interface model.
    with Michael Hintermüller and Dietmar Hömberg
    Comput. Optim. Appl. (2016), [preprint]
  13. A structure theorem for shape functions defined on submanifolds.
    Interfaces Free Bound. (2016), [preprint]
  14. Distributed shape derivative via averaged adjoint method and applications.
    with Antoine Laurain
    ESAIM Math. Model. Numer. Anal. (2016), [preprint]
  15. Shape optimization with nonsmooth cost functions: from theory to numerics.
    SIAM J. Control Optim. (2016), [preprint]
  16. Shape optimization of an electric motor subject to nonlinear magnetostatics.
    with Peter Gangl, Ulrich Langer, Antoine Laurain and Houcine Meftahi
    SIAM J. Sci. Comput. (2015), [preprint]
  17. Minimax Lagrangian approach to the differentiability of nonlinear PDE constrained shape functions without saddle point assumption.
    SIAM J. Control Optim. (2015), [preprint]
  18. Shape differentiability under non-linear PDE constraints.
    Internat. Ser. Numer. Math. (2015)


  1. Convergence analysis of Newton's method in shape optimization via approximate normal functions
  2. Discretisation and error analysis for a mathematical model of milling processes.
    with Oliver Rott and Dietmar Hömberg preprint

Research Interests:

  • Shape Optimisation
  • Topology Optimisation
  • Sensitivity Analysis
  • Actuator and Sensor Placement
  • Minimax Theory
  • Reproducing Kernels and Mesh Free Methods
  • Stabilisation of Partial Differential Equations
  • Electrical Impedance Tomography
  • Electrical Machines
  • Elasticity


Year Winter Semester Summer Semester
2021 Computermathematik (LaTeX+Python)
2020 Numerische Mathematik Computermathematik (LaTeX+Python)
Seminar:Optimisation and shape optimisation, (info see TISS)
2019 Optimisation with PDE constraints (VU 4SWS)
Seminar:Optimisation and shape optimisation with partial differential equations, (info see TISS)

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