Federico D'Asaro

Ph.D. candidate in Ingegneria Informatica E Dei Sistemi , 39^th cycle (2023-2026)
Department of Control and Computer Engineering (DAUIN)

Adjunct lecturer/Adjunct instructor
Department of Control and Computer Engineering (DAUIN)

federico.dasaro@polito.it

Profile

PhD

Research topic

Visual and language models

Tutors

Keywords

Data science, Computer vision and AI

Biography

Federico D'Asaro is an AI Applied Researcher at LINKS Foundation, with a focus on multimodal deep learning applications. He completed his Master’s degree in Data Science and Engineering in 2021 and began his PhD studies in 2023 within the Computer Graphics & Vision Group (CGVG). His research explores the transfer capabilities of Vision-Language Models to downstream tasks, with a particular focus on the Modality Gap—an issue affecting the quality of multimodal feature space. By bridging both Natural Language Processing and Computer Vision, his research aims to understand how reducing the Modality Gap can enhance performance in downstream tasks.

Teaching

Teachings

Master of Science

Applied data science project. A.A. 2026/27, DATA SCIENCE AND ENGINEERING. Collaboratore del corso
Applied data science project. A.A. 2025/26, DATA SCIENCE AND ENGINEERING. Collaboratore del corso
Applied data science project. A.A. 2024/25, DATA SCIENCE AND ENGINEERING. Collaboratore del corso

MostraNascondi A.A. passati

Research

Research Areas/Fields/Groups

CGVG - Computer Graphics and Vision Group (DAUIN)

Publications

Latest publications View all publications in Porto@Iris

De Luca, Sara; D'Asaro, Federico; Berchialla, Paola; Rizzo, Giuseppe (In stampa)
Omics-Enhanced Multimodal Representations for Cancer Prognosis and Staging. In: 24th International Conference of the Italian Association for Artificial Intelligence
Contributo in Atti di Convegno (Proceeding)
D'Asaro, Federico; Marquez Villacis, Juan Jose; Bottino, Andrea; Rizzo, Giuseppe (In stampa)
Multiclass Fairness Analysis of Qwen2-Audio in Speech Emotion Recognition. In: European Signal Processing Conference (EUSIPCO), Bruges (BEL), August 31 - September 4, 2026
Contributo in Atti di Convegno (Proceeding)
Duan, Xuemin; D'Asaro, Federico; Peeters, Ruben; Blanco, Giacomo; Monopoli, Tommaso; ... (In stampa)
Knowledge-Enhanced Multimodal Retrieval over Cultural Heritage Knowledge Graphs. In: 23rd European Semantic Web Conference (ESWC), Dubrovnik (HR), May 10-14, 2026
Contributo in Atti di Convegno (Proceeding)
Nejabat, Hadi; D'Asaro, Federico; Pecora, Alessandro Emmanuel; Monopoli, Tommaso; ... (2026)
Promptable image segmentation: a survey of guided input techniques. In: FOUNDATIONS AND TRENDS IN COMPUTER GRAPHICS AND VISION, vol. 18, pp. 1-139. ISSN 1572-2740
Contributo su Rivista
Blanco, Giacomo; Monopoli, Tommaso; D'Asaro, Federico; Peeters, Ruben; Duan, Xuemin; ... (2026)
ArtKB: A Multimodal Art Knowledge Base for Cultural Heritage. In: 23rd European Semantic Web Conference (ESWC), Dubrovnik (HR), May 10–14, 2026, pp. 58-75. ISSN 0302-9743. ISBN: 9783032251589
Contributo in Atti di Convegno (Proceeding)