Federico Milani

Ph.D. Student at Politecnico di Milano

About Me

I am an Italian student who graduated from Politecnico di Milano. I am currently pursuing my doctoral research on image processing and Cultural Heritage data analysis through novel Deep Learning architectures and Computer Vision algorithms. I have previous experience in Remote Sensing data processing and analysis.

I am most skilled in: data processing and Python scripting. I am also competent in: MATLAB, NodeJS, working with Windows, MacOS and Linux operating systems and Docker containers.

I am very interested in whatever concerns technology and I love doing sports.

I speak Italian and English proficiently. I can understand and speak Spanish.


Politecnico di Milano


Research Assistant

February 2019 - October 2019

Department of Electronics Information and Bioengineering (DEIB)

Researched on Deep Learning architectures for Remote Sensing applications. Worked with detection and segmentation models and famous data sets of aerial images.

Tutored a bachelor course on Web Development.


Politecnico di Milano

Ph.D. Student

November 2019 - now

Department of Electronics Information and Bioengineering (DEIB)

Researching on Deep Learning (DL) architectures and Computer Vision (CV) techniques for the analysis of Cultural Heritage data to support complex iconography studies. Currently working on ArtDL.

Politecnico di Milano

MSc in Computer Science and Engineering

October 2016 - December 2018

MSc track on Ambient Intelligence and Data Engineering

Master thesis on the feasibility of Deep Learning (DL) architectures, especially classification- or segmentation-based, for landform extraction with the final aim to enrich Volunteered Geographic Information (VGI) systems, such as OpenStreetMap (OSM). For this research, a specific use case is chosen: the identification of mountain peaks from 3D Digital Elevation Models (DEMs) of the terrain.

Politecnico di Milano

BSc in Engineering of Computing Systems

October 2013 - September 2016

Politecnico di Milano is the largest technical university in Italy. It ranked in 2020 as the 20th best in the world for the subject area of 'Engineering & Technology'.


P. Fraternali, F. Milani, R. N. Torres and N. Zangrando Black-box error diagnosis in deep neural networks: a survey of tools (2022) Arxiv

R. N. Torres, F. Milani and P. Fraternali ODIN: Pluggable Meta-annotations and Metrics for the Diagnosis of Classification and Localization (2021, October) in LOD 2021: Machine Learning, Optimization, and Data Science

N. O. Pinciroli Vago, F. Milani, P. Fraternali and R. da Silva Torres Comparing CAM Algorithms for the Identification of Salient Image Features in Iconography Artwork Analysis (2021) MDPI - Journal of Imaging

F. Milani and P. Fraternali A Data Set and a Convolutional Model for Iconography Classification in Paintings (2021) ACM - Journal on Computing and Cultural Heritage

R. N. Torres, F. Milani and P. Fraternali Algorithms for mountain peaks discovery: a comparison (2019, April) In Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing (pp. 667-674)

R. N. Torres, P. Fraternali, F. Milani and D. Frajberg Mountain summit detection with Deep Learning: evaluation and comparison with heuristic methods (2019) Applied Geomatics, 1-22

R. N. Torres, P. Fraternali, F. Milani and D. Frajberg A Deep Learning model for identifying mountain summits in Digital Elevation Model data (2018, September) In 2018 IEEE First International Conference on Artificial Intelligence and Knowledge Engineering (AIKE) (pp. 212-217)