I am currently a postdoc in the I am part of the FLARECAST project |
E-mail: sciacchitano AT dima.unige.it
Mathematical imaging
Inverse problems
Variational methods
Optimization
Papers in referred journals and proceedings
F. Sciacchitano, Y. Dong, and T. Zeng, Variational approach for restoring blurred images with cauchy noise SIAM Journal on Imaging Sciences (2015), 8.3, pp. 1894-1922.
F. Sciacchitano, Y. Dong, and M. S. Andersen, Total Variation Based Parameter-Free Model for Impulse Noise Removal, Numerical Mathematics: Theory, Methods and Applications (2017), 10.1, pp. 186–204.
A. Lanza, F. Sciacchitano, S. Morigi, F. Sgallari, A Unified Framework for the Restoration of Images Corrupted by Additive White Noise". To appear in: Proceedings of the 6th International Conference on Scale Space and Variational Methods in Computer Vision, Lecture Notes in Computer Science.
PhD thesis
F. Sciacchitano, Image reconstruction under non-Gaussian noise, Technical University of Denmark, Aug. 2016.
In preparation
M. Burger, Y. Dong, F. Sciacchitano, Bregman Cost for Non-Gaussian Noise, Kgs. Lyngby: Technical University of Denmark (DTU), 2016. 12 p. (DTU Compute-Technical Report-2016; No. 8).
Co-organizer (with Yiqiu Dong) of two-parts minisymposium “Non-Gaussian Noise: New Trends and Challenges”, SIAM Conference on Imaging Science, Albuquerque, USA, May 2016
Co-supervision of bachelor thesis: Ulrik Veirup Groth, Project: Total Variation Based Image Inpainting, Technical University of Denmark, 2015
Teaching assistant of the course 02625: Computational Science in Imaging, Techincal University of Denmark, January 2015
Teaching assistant of the course 02685: Scientific Computing for Differential Equations, Techincal University of Denmark, Spring 2014
Sept. 2013- Aug. 2016: PhD student, Department of Applied Mathematics and Computer Science, Technical University of Denmark
Sept. 2011- May 2013: Master of Science in Mathematics, University of Genoa (Italy)
Sept. 2009- July 2011: Bachelor of Science in Mathematics, University of Genoa (Italy)
Flare Likelihood And Region Eruption foreCASTing (FLARECAST) project
Sept. 2013- Aug. 2016: Associated member of the ERC Advanced Grant funded project High Definition Tomography (HD-Tomo) led by Prof. Per Christian Hansen.