Filip Šroubek

Assoc. Prof. Filip Šroubek, Ph.D., DSc. is a Professor of Applied Mathematics at the Faculty of Nuclear Sciences and Physical Engineering, Czech Technical University, and an Associate Professor at the Faculty of Mathematics and Physics, Charles University. He serves as Deputy Head of the Department of Image Processing at the Czech Academy of Sciences. His career spans postdoctoral research at Instituto de Optica (CSIC, Madrid) and a Fulbright scholarship at University of California, Santa Cruz.

• Education:
  • M.Sc. in Computer Science, Czech Technical University (1998)
  • Ph.D. in Computer Science, Charles University (2003)
  • D.Sc. (Habilitation), Czech Academy of Sciences (2014)

Research Interests: Šroubek specializes in image restoration, blind deconvolution, and superresolution, with applications in biomedical imaging, forensic analysis, and mobile device optimization. His work on multi-object tracking and blur-invariant algorithms bridges theoretical and applied computer vision.

Publication Trends: His recent articles focus on neural networks for image processing (2025), biomedical imaging (2024), and dynamic object tracking (2021-2023). Collaborations span neuroscience, materials science, and forensic engineering.

Scientific Awards:

• Fulbright Visiting Scholarship (2010/2011)
• Honorable Mention at GCPR (2019)
• Outstanding Contribution Award (2013)

Advising & Grants: Supervised projects include PIZZARO (forensic image analysis), 4D-STEM/PNBD (electron diffraction), and SONO (ultrasound technology). Grants emphasize interdisciplinary applications of image processing in medicine and engineering.

Labs & Teams: Affiliated with the Department of Image Processing (UTIA, Czech Academy of Sciences), he collaborates with teams in biomedical imaging, quantum dot characterization, and mobile technology optimization.