Davide Napolitano

Ph.D. candidate in Ingegneria Informatica E Dei Sistemi , 38th cycle (2022-2025)
Department of Control and Computer Engineering (DAUIN)

Docente esterno e/o collaboratore didattico
Department of Control and Computer Engineering (DAUIN)

Profile

PhD

Research topic

Neural Explainers and Multimodal Learning

Tutors

Research presentation

Poster

Research interests

Data science, Computer vision and AI

Biography

Davide Napolitano is a PhD student in the Department of Control and Computer Engineering and a member of the Database and Data Mining Group (DBDMG) research group. He received his bachelor's degree in Computer Engineering in 2019 and his master's degree in Data Science and Engineering cum laude in 2022, both from the Politecnico di Torino. His current research interests focus on Artificial Intelligence applications in Explainable AI and Multi-Modal Deep Learning, with the ultimate goal of joining the two topics.
In detail:
  • Explainable AI: current and future research is based on the theoretical and application analysis of Game Theory applied to the computation of Shapley Values.
  • Multi-Modal Deep Learning: Current research is mainly based on Document Visual Question Answering applied in single-and multi-page contexts.
In addition to his academic commitments, Davide is involved in a corporate collaboration with FiberCop regarding the use of Large Language Models for Domain-specific Entity Recognition, Disambiguation, and Content-based Recommendation.

Teaching

Teachings

Master of Science

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Bachelor of Science

  • Basi di dati. A.A. 2024/25, INGEGNERIA GESTIONALE. Collaboratore del corso
  • Basi di dati. A.A. 2023/24, INGEGNERIA INFORMATICA. Collaboratore del corso
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Research

Research groups

Publications

Latest publications View all publications in Porto@Iris