Editorial Board for section 'Computational Imaging and Computational Photography'

Please see the section webpage for more information on this section.

Please note that the order in which the Editors appear on this page is alphabetical, and follows the structure of the editorial board presented on the MDPI website under information for editors: editorial board responsibilities.

Members


Website
Section Board Member
Department of Electrical, Electronics and Computer Engineering (DIEEI), University of Catania, Viale A. Doia 6, I-95124 Catania (CT), Italy
Interests: electromagnetic scattering; microwave imaging; array antenna synthesis; plasma diagnostics
Special Issues, Collections and Topics in MDPI journals

Website
Section Board Member
Laboratory for Neutron Scattering and Imaging, Paul Scherrer Institut, Forschungsstrasse 111, 5232 Villigen PSI, Switzerland
Interests: neutron imaging; image processing; scientific computing
Special Issues, Collections and Topics in MDPI journals

Website
Section Board Member
University of Caen Normandie, GREYC UMR CNRS 6072, F-14050 Caen CEDEX 4, France
Interests: graph signal processing; mathematical morphology; machine learning; computer vision; computational photography

Website
Section Board Member
ZAG - Slovenian National Building and Civil Engineering Institute, Dimičeva ulica 12, 1000 Ljubljana, Slovenia
Interests: X-ray imaging; X-ray microtomography; synchrotron radiation; material science; geosciences

Website
Section Board Member
Computational Imaging Research Laboratory, Department of Electrical and Computer Engineering, The University of Memphis, Memphis, TN 38152, USA
Interests: computational imaging; 3D microscopy; super resolution microscopy; quantitative phase imaging; multispectral/hyperspectral imaging

Website
Section Board Member
Department of Applied Physics, University of Eastern Finland, P.O. Box 1627, 70211 Kuopio, Finland
Interests: inverse problems in tomography; optical tomography; photoacoustic imaging; radiative transfer; Bayesian inverse problems; uncertainty quantification
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