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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



Office

green area on the 6th floor.



Research Interests:

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

Publications


Submitted

  1. Topological derivative for PDEs on surfaces
    with Peter Gangl
    [preprint, 2020]
  2. First-order differentiability properties of a class of equality constrained optimal value functions with applications to shape optimization
    [preprint, 2020]
  3. 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. Fully and Semi-Automated shape differentiation in NGSolve
    with Peter Gangl, Michael Neunteufel, Joachim Schöberl
    Structural and Multidisciplinary Optimization (2020)
    [preprint, 2020]
  2. Asymptotic analysis and topological derivative for 3D quasi-linear magnetostatics
    with Peter Gangl
    ESAIM:M2AN (2020)
    [preprint]
  3. A shape optimization approach for electrical impedance tomography with pointwise measurements
    with Yuri Flores Albuquerque and Antoine Laurain
    Inverse Problems (2020)
    [preprint]
  4. A simplified derivation technique of topological derivatives for quasi-linear transmission problems
    with Peter Gangl
    ESAIM:COCV (2020)
    [preprint]
  5. Topological sensitivities via a Lagrangian approach for semilinear problems
    Nonlinearity (2020)
    [preprint]
  6. 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]
  7. Weakly-normal basis vector fields in rkhs with an application to shape newton methods
    with Alberto Paganini
    SIAM J. Numer. Anal. (2019)
    [preprint]
  8. Shape optimization via nearly conformal transformations.
    with Jose A. Iglesias and Florian Wechsung
    SIAM J. Sci. Comput. (2018)
    [preprint]
  9. Optimal actuator placement and shaping based on shape calculus.
    with Dante Kalise and Karl Kunisch
    Math. Models Methods Appl. Sci. (2018)
    [preprint]
  10. Reproducing kernel hilbert spaces and variable metric algorithms in pde-constrained shape optimization.
    with Martin Eigel
    Optim. Methods Softw. (2017)
    [preprint]
  11. Parametric semidifferentiability of minimax of lagrangians: averaged adjoint state approach.
    with Michel C. Delfour
    J. Convex Anal. (2017)
    [preprint]
  12. Shape optimization for a class of semilinear variational inequalities with applications to damage models.
    with Christian Heinemann
    SIAM J. Math. Anal. (2016)
    [preprint]
  13. Minimax differentiability via the averaged adjoint for control/shape sensitivity.
    with Michel C. Delfour
    IFAC-PapersOnLine (open access) (2016)
  14. Distortion compensation as a shape optimisation problem for a sharp interface model.
    with Michael Hintermüller and Dietmar Hömberg
    Comput. Optim. Appl. (2016)
    [preprint]
  15. A structure theorem for shape functions defined on submanifolds.
    Interfaces Free Bound. (2016)
    [preprint]
  16. Distributed shape derivative via averaged adjoint method and applications.
    with Antoine Laurain
    ESAIM Math. Model. Numer. Anal. (2016)
    [preprint]
  17. Shape optimization with nonsmooth cost functions: from theory to numerics.
    SIAM J. Control Optim. (2016)
    [preprint]
  18. 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]
  19. Minimax Lagrangian approach to the differentiability of nonlinear PDE constrained shape functions without saddle point assumption.
    SIAM J. Control Optim. (2015)
    [preprint]
  20. Shape differentiability under non-linear PDE constraints.
    Internat. Ser. Numer. Math. (2015)

Others

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


Lectures


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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