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Federico Siciliano

Postdoctoral Researcher @ Sapienza University of Rome

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Hi everyone!

I am a post-doc in the

RSTLess Lab⁠

Sapienza University of Rome⁠

under the guidance of

Prof. Fabrizio Silvestri⁠

. Previously, I got a PhD in Data Science (2024) with a thesis on Architectural Components of Trustworthy Artificial Intelligence with

Prof. Fabrizio Silvestri⁠

My current research projects include Information Retrieval, Recommender Systems and Explainable Artificial Intelligence, with a soft spot for Theory of deep learning.

I welcome collaborative opportunities and have had the privilege of partnering with numerous world-renowned institutions, including Cambridge University, Meta, Amazon, and UniPi, among others.

Click here for an extended version of my CV:

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Siciliano - CV___Publications.pdf

2.1 MB

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News! 📰

I'm thrilled to announce the Special Session "Neural Methods for IR and RecSys", which has been accepted as part of IJCNN 2025! This session is an exciting opportunity to showcase cutting-edge research at the intersection of neural methods, Information Retrieval (IR), and Recommender Systems (RecSys). Find the complete submission guidelines here:

https://coda.io/@rstless-group/neural-ir-recsys-ijcnn-2025⁠

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