Mazen Mel | Ph.D. Student

Phone (office): +39 049 827 7774


Mazen Mel is a PhD student in the Department of Information Engineering at the University of Padova. He received a First Cycle degree in Physics and Technology in 2016 and an Engineering degree in Telecommunications in 2019 from The Higher School of Communications of Tunis (Sup’Com) in Tunisia and a master’s degree in ICT in 2021 from the University of Padova. His research activities are about computational imaging/photography and computer vision, in particular hyper-spectral imaging, depth of field extention (EDoF), and monocular depth estimation. He works in collaboration with Sony Europe B.V. Stuttgart technology center.

Research areas

Snapshot Spectral Sensing

Different from scanning-based imaging spectrometers, snapshot systems offer greater flexibility and can capture full spectrum of still as well as dynamic scenes in a single coded 2D measurement achieved by multiplexing spatial and spectral information using a com- bination of lenses, dispersive elements, and coded aperture masks.

Monocular Depth Estimation

Currently working on physics-aware depth estimation solutions that rely on depth-dependent optical aberrations introduced by the imaging system as reliable depth cues.

Extended Depth of Field (EDoF)

The aim is to extend the depth range where objects appear relatively in-focus, special optics and computational approaches are combined together to perform such task.



Amann, Simon; Mel, Mazen; Zanuttigh, Pietro; Haist, Tobias; Kamm, Markus; Gatto, Alexander; others,

Material Characterization using a Compact Computed Tomography Imaging Spectrometer with Super-resolution Capability Proceedings Article

In: Proceedings of the 6th International Conference on Optical Characterization of Materials, OCM 2023, pp. 139–148, 2023.



Mel, Mazen; Siddiqui, Muhammad; Zanuttigh, Pietro

End-to-end learning for joint depth and image reconstruction from diffracted rotation Journal Article

In: arXiv preprint arXiv:2204.07076, 2022.


Mel, Mazen; Gatto, Alexander; Zanuttigh, Pietro

Joint Reconstruction and Super Resolution of Hyper-Spectral CTIS Images Proceedings Article

In: British Machine Vision Conference (BMVC), 2022.


Zimmermann, Markus; Amann, Simon; Mel, Mazen; Haist, Tobias; Gatto, Alexander

Deep learning-based hyperspectral image reconstruction from emulated and real computed tomography imaging spectrometer data Journal Article

In: Optical Engineering, vol. 61, no. 5, pp. 053103–053103, 2022.


Mel, Mazen; Gatto, Alexander; Zanuttigh, Pietro

Joint Reconstruction and Super Resolution of Hyper-Spectral CTIS Images Conference

BMVC, 2022.



Mel, Mazen; Michieli, Umberto; Zanuttigh, Pietro

Incremental and multi-task learning strategies for coarse-to-fine semantic segmentation Journal Article

In: Technologies, vol. 8, no. 1, pp. 1, 2019.