Computer vision / scientific imaging / research software

Rafał Lewandków

Assistant Professor at the Institute of Experimental Physics, University of Wrocław. His research interests focus on STM/EC-STM and LEED image data analysis, as well as the development of computer vision and deep learning tools for experimental data. His teaching activities and course materials include, among others, mobile device programming and deep learning.

Contact

  • rafal.lewandkow2@uwr.edu.pl
  • r.lewandkow@gmail.com
  • p. 075 IFD pl. maxa borna 9
  • +48 71 375 93 19

Software

Software

Original scientific tools for the analysis, visualization, and processing of experimental data.

Projects

Projects

Research, teaching, and software development projects.

Teaching

Teaching

Teaching materials, notes, and resources for students.

Theses

Theses

Supervised and proposed thesis projects, mainly engineering theses in mobile applications, software and research tooling.

Publications

Publications

Scientific publications, bibliographic data, and DOI links.

Research article / 2026

LFA: A Lattice Fourier Analyzer for Quantitative In Situ EC-STM of Adsorbate-Substrate Superstructures

Free, open-source Python application for reproducible reciprocal-space analysis of STM/EC-STM images, including Bragg-peak localization, substrate-anchored calibration, lattice-vector extraction and uncertainty propagation.

  • R. Lewandków, P. Wira, A. Futyma, R. Wasielewski, T. Kosmala
  • Advanced Materials Interfaces, e70500

Research article / 2026

Band alignment of amorphous Ge2S3 and GaN(0001)

Study of amorphous Ge2S3 grown on GaN(0001), combining surface, optical and photoelectron spectroscopy to determine band offsets and type-II band alignment.

  • M. Grodzicki, A. Sabik, P. Mazur, A. K. Tołłoczko, R. Lewandków, A. Trembułowicz, D. Majchrzak, J. Serafińczuk, J. Kopaczek, J. Brona, R. Kudrawiec
  • Journal of Materials Science 61(9), 6042-6052