cv

Organization

University of Udine

Technical Chair of the 21st Conference on Information and Research Science Connecting to Digital and Library Science.

Journal Editor

Umanistica Digitale

Special Issue on Digital Humanities and Artificial Intelligence.

Teaching Assistant

University of Udine

Prepared teaching materials and delivered laboratory lectures for the Deep Learning course in the Computer Science Master's program.

Research Intern

AILAB Udine

Topics: Graph Neural Networks & Natural Language Processing.

Supervision

University of Udine

Supervised and mentored multiple trainees, B.Sc., M.Sc., and Master's students on their thesis and traineeship projects.

Journal reviewer

International Journal on Digital Libraries

Journal reviewer

Transactions on Multimedia Computing Communications and Applications

Journal reviewer

PeerJ Computer Science

Conference Reviewing

PACLIC 2023

The 37th Pacific Asia Conference on Language, Information and Computation

Conference Reviewing

ACL 2023

The 61st Annual Meeting of the Association for Computational Linguistics

Conference Reviewing

TPDL 2023

The 27th International Conference on Theory and Practice of Digital Libraries

Local Committee

AIxIA 2023

The 21st International Conference of the Italian Association for Artificial Intelligence

Visiting PhD Student

Athens University of Economics and Business

Deep Learning for Digital Humanities.

• Supervisor: John Pavlopoulos (AUEB NLP Group)

PhD

University of Udine

Natural Language Processing & Deep Learning for Digital Humanities.

• Supervisor: Giuseppe Serra.

MSc

University of Udine

Computer Science

• Specialization: Algorithms and Automated Reasoning.
• Thesis title: Graph Neural Network for Calculating Forces and Energies of Iron Atom Structures.

BSc

University of Udine

Computer Science

• Thesis title: Utilizing Constraints and Preferences in GUI Generation.

3rd Place, ICDAR 2025 Colie Task 2

Ranked 3rd among international participants for developing a model for literary epoch classification. Collaboration with Democritus University of Thrace (DUTH) and Athens University of Economics and Business (AUEB).

Recipient of 64,000 computing hours on CINECA Leonardo HPC

CINECA

Conducted large-scale experiments on Deep Learning applications to Latin and Ancient Greek epigraphy. Utilized Python, PyTorch, JAX, and SLURM for distributed training and large-scale evaluation.

PhD Scholarship

University of Udine, Italy

AI for the Restoration of Ancient Inscriptions: A Computational Linguistics Perspective

Decoding Cultural Heritage (Springer)

A. Locaputo, B. Portelli, S. Magnani, E. Colombi, and G. Serra

Filling the lacunae in ancient Latin inscriptions

19th Conference on Information and Research Science Connecting to Digital and Library Science

A. Locaputo, B. Portelli, E. Colombi, and G. Serra

Usage of Language Model for the Filling of Lacunae in Ancient Latin Inscriptions: A Case Study

2nd Workshop on Artificial Intelligence for Cultural Heritage (IAI4CH 2023), AIxIA 2023

A. Brunello, A. Locaputo, S. Magnani, N. Saccomanno, and G. Serra

Chamber of Deputies (Italy)

Developed and deployed an assistive tool for automatic classification of legislative documents from initial conception through production release, now in active use.

• Implemented classification aligned with the EuroVoc thesaurus to ensure standardized categorization.
• Tools Used: Python, PyTorch, BERT, LLMs, LangChain, Ollama.

LACUNAE

Development of a digital tool that uses artificial intelligence to generate suggestions for the integration of lacunae in Greek and Latin epigraphic documents.

• Application of few-shot learning, transfer learning, fine-tuning and retrieval-augmented generation (RAG) to overcome data limitations.
• Constructed novel datasets (textual and visual) to train and evaluate models.
• Tools Used: Python, PyTorch, JAX, LLMS, RAG, DSPY, YOLO, and R.