Nicola Dall'Asen

Ph.D. candidate @ UniPi and UniTn in Artificial Intelligence.
"Data is truth"

via Sommarive 9
Trento – Italy

Hello there!* I am Nicola Dall’Asen and I am a PhD student in the Italian National Artificial Intelligence program.

My research interest lies in the topic of generative models (in particular GANs) for privacy-preserving applications. It has been the natural continuation of my work during the internship in Fondazione Bruno Kessler, in the Deep Visual Learning Lab. The resulting model became my first publication, “Graph-based Generative Face Anonymisation with Pose Preservation”, which you can check out here!

Beside research, I am a huge nerd: books, comics, TV series and videogames… when I’m not reading papers…

During my previous studies I fell in love with the Linux and OSS world, as it strives to foster an equal view of the world.

Contact me through the social below or at nicola [dot] dallasen [at] phd [dot] unipi [dot] it


*Yes, it is what you think it is.

** Propic generated with ArcaneGAN

news

Feb 11, 2022 Responsible AI at the edge: towards privacy-preserving smart cities has been presented at “Ital-IA 2022 Convegno del Laboratorio nazionale CINI-AIIS” 🇮🇹
Nov 15, 2021 Graph-based Generative Face Anonymisation with Pose Preservation has been accepted for presentation at “21st International Conference on Image Analysis and Processing” 🇮🇹
Nov 1, 2021 My PhD path has officially began! :wolf:
Oct 1, 2021 I am a reviewer of two papers in ICIAP 2021.
Sep 30, 2021 My application for PhD at University of Pisa has been accepted. :fire:

selected publications

  1. BalkanCom
    MARVEL: Multimodal Extreme Scale Data Analytics for Smart Cities Environments
    Dall’Asen, Nicola et al.
    In 2021 International Balkan Conference on Communications and Networking (BalkanCom) 2021
  2. ICIAP
    Graph-based Generative Face Anonymisation with Pose Preservation
    Dall’Asen, Nicola, Wang, Yiming, Tang, Hao, Zanella, Luca, and Ricci, Elisa
    In 21st International Conference on Image analysis and Processing (ICIAP) 2021