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Malgorzata Kujawinska

Researcher at Warsaw University of Technology

Publications -  393
Citations -  4019

Malgorzata Kujawinska is an academic researcher from Warsaw University of Technology. The author has contributed to research in topics: Holography & Interferometry. The author has an hindex of 29, co-authored 377 publications receiving 3525 citations. Previous affiliations of Malgorzata Kujawinska include University of Warsaw.

Papers
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Journal ArticleDOI

Optonumerical method for improving functional parameters of polymer microtips

TL;DR: In this paper, an optonumerical method was proposed to support the optimization of the fabrication process of polymer microtips manufactured at the ends of optical fibers, which was aimed at obtaining the functional parameter of microtips, the output beam distribution in the far field diffraction region.
Proceedings ArticleDOI

New trends in instrumentation and application of automated grating interferometry

TL;DR: In this paper, high-sensitivity grating interferometry is shown as an effective experimental tool in hybrid method stress analysis, and the most recent examples of application discussed in the paper include fracture mechanics, residual stresses determination, relaxation processes, fatigue testing, local material constants measurement, testing of local phenomena in adhesive joints, surface layers, material grains interaction and many others.
Proceedings ArticleDOI

Smart pixel camera based signal processing in an interferometric test station for massive parallel inspection of MEMS and MOEMS

TL;DR: In this paper, an electro-optical design of an interferometric inspection system for massive parallel inspection of M(O)EMS wafer under test is presented, where the probe wafer is exchangeable and contains a low-coherent interferometer (LCI) array and a laser interferometers (LI) array based on a Twyman-Green configuration.
Proceedings ArticleDOI

Colour digital image correlation method for monitoring of cultural heritage objects with natural texture

TL;DR: This work's main objective is to select the best demosaicing algorithms for the spectral and monochromatic channels to minimize displacement and strain reconstruction errors (STD and P/V).
Book ChapterDOI

Shape and Position Determination Based on Combination of Photogrammetry with Phase Analysis of Fringe Patterns

TL;DR: Combining the information about object shape and 3D co-ordinates of fiducial points during the measurement enables to generate a virtual model of the object together with the description of its movement.