Applied Mathematics Group

M.Sc. Rishabh Saxena – Doctoral Candidate

Office: 1227 (Building H1)
Phone: +49 40 6541-2755
Email: saxenar (@) hsu-hamburg.de

Research Interests

  • Finite Element Method (FEM)
  • Parallel and Distributed Computing (MPI)
  • Voxel-Based Mesh Generation
  • Permeability and Tortuosity Computation
  • Super-Resolution of Microstructures using Deep Learning

Current Projects

  • Data and model reduction for multi-physics problems in complex geometries : This is a subproject of the dtec.bw CTCentre Digital Tomography Center for Functional Composites.

Curriculum Vitae

  • Current Position: [Feb, 2022 — Present]
    • PhD Researcher in Applied Mathematics — Helmut-Schmidt-Universität, Hamburg, Germany
  • M.Sc. in Applied Mathematics [2017 — 2019] Indian Institute of Technology, Mandi, Himachal Pradesh, India
  • B.Sc. in Mathematics [2013 — 2016] — B.N.D College Kanpur, India

Teaching

  • Numerik II FT 2025
  • Mathematics Precourse, HT24
  • Numerik II FT 2024
  • Mathematics Precourse HT23
  • Calculus and Linear Algebra 2 – Part 1 and Part 2, WT 2023 & FT 2023
  • Calculus and Linear Algebra 1, HT 2022
  • Mathematics Precourse HT22

Conference and Workshop

  • Presented on Determination of effective transport parameters on high-resolved 3D microstructures using CNN, at the InterPore2025 Conference, 19-22 May 2025, Albuquerque, New Mexico, USA.
  • Participated and presented a technical paper in the 7th International Congress on Computational Mechanics and Simulation (ICCMS 2019) held from from 11th December 2019 to 13th December 2019.

Recent Publications

  • Super-resolving 3D nanostructures using artificially generated image data and spatial transport simulations, O. Furat, P. Gräfensteiner, R. Saxena, M. Osenberg, M. Neumann, I. Manke, T. Carraro and V. Schmidt, Machine Learning: Science and Technology, 2025, https://iopscience.iop.org/article/10.1088/2632-2153/ae0c55

HSU

Letzte Änderung: 30. September 2025