IRTG Modern Inverse Problems (MIP)

Ankit Chakraborty, M.Sc.

14. November 2018 | von



Aachen Institute for Advanced Study
in Computational Engineering Science (AICES)
RWTH Aachen
Schinkelstr. 2
52062 Aachen

Office: Room 424
Phone: +49 241 80 99136
Email: chakraborty@aices.rwth-aachen.de



09/2018 – Current: Ph.D. Candidate, IRTG at RWTH Aachen University, Germany

10/2015 – 05/2018: Master of Science in Simulation Science, RWTH, Aachen, Germany

2011 – 2015: Bachelor of Technology in Mechanical Engineering at  Indian Institute of  Technology, Patna, India


Research Interests

  Higher Order Galerkin Schemes and Metric based Anisotropic Mesh Optimization. 



  • Numerical Modelling of Bi-material Specimen using Extended Finite Element Discretization under  Thermo-mechanical Loading. (Bachelor’s Thesis, Indian Institute of Technology, Patna, 2015).
  • A Continuous-mesh Optimization Technique for Piece-wise Polynomial Approximation on Tetrahedral Grids (Master’s Thesis, AICES, RWTH Aachen, Germany, 2018).



  1. An Anisotropic H-Adaptive Strategy for Discontinuous Petrov-Galerkin Schemes using a Continuous Mesh Model
    A. Chakraborty, A. Rangarajan and G. May
    Computer & Mathematics with Applications, 2022, 106
    doi: https://doi.org/10.1016/j.camwa.2021.12.001
  2. A Residual-Based HP-Mesh Optimization Technique for Petrov-Galerkin Schemes with Optimal Test Functions
    A. Chakraborty, A. Rangarajan and G. May
    doi: http://dx.doi.org/10.23967/wccm-eccomas.2020.014
  3. A Goal Oriented Optimization Technique for Tetrahedral Grids using a Continuous- Mesh Model
    A. Rangarajan, A. Chakraborty and G. May
    AIAA Scitech 2019 Forum
    doi: https://doi.org/10.2514/6.2019-0349


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