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Federico Siciliano
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Federico Siciliano

Postdoctoral Researcher @Sapienza University of Rome
Foto - Amazon.jpg
Hi everyone!
I am a research fellow in the @ under the wise guidance of . Previously, I got my PhD (2024) with a thesis on Architectural Components of Trustworthy Artificial Intelligence with .
My current research projects include Information Retrieval 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.pdf
603.6 kB

News! 📰

Our workshop “IR-RAG @ SIGIR24: Information Retrieval's Role in RAG Systems” has been accepted at the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, USA. Stay tuned for more updates and insights!
I am thrilled to announce that I will be organizing a workshop on “Multimodal Learning in Biomedical Applications” at the 37th IEEE International Symposium on Computer-Based Medical Systems (IEEE CBMS 2024). Join us for an immersive session!
Catch me at
in Glasgow from March 24th to 28th as I present my accepted research paper “Investigating the Robustness of Sequential Recommender Systems Against Training Data Perturbations: an Empirical Study”. If you're around and eager to chat, don't hesitate to reach out!

Contacts 📢

X (formerly Twitter)
Github
Scholar
Scopus
Email: federico (dot) siciliano (at) uniroma1 (dot) it
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