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About Me
Alessia Pisu is a Ph.D. candidate in Mathematics and Computer Science at the Università degli Studi di Cagliari, under the supervision of Daniele Riboni and Livio Pompianu. Her research explores the application of Artificial Intelligence, the Internet of Things, and Blockchain to enhance workplace safety.
She holds a Master’s Degree in Computer Science (LM-18) from the Università degli Studi di Cagliari, where she graduated cum laude with a thesis on AI-powered football match annotation under the supervision of Alessandro Sebastian Podda. She also earned a Bachelor’s Degree in Computer Science (L-31) from the same university, completing a thesis on Deep Reinforcement Learning for financial trading, supervised by Salvatore Mario Carta.
During her Ph.D., Alessia was a Visiting PhD student at the Knowledge Media Institute (The Open University, UK), collaborating with Enrico Motta, Francesco Osborne, and Angelo Salatino. Her research at KMi focused on automated ontology generation from scientific literature, leveraging Large Language Models, Knowledge Graphs, and Scholarly Data Analysis.
Her broader research interests include AI-driven knowledge extraction, IoT applications, decentralized data certification via Blockchain, and automatic ontology generation.
Publications (7)
| Document title | Author | Years | Source |
|---|---|---|---|
| Enhancing workplace safety: A flexible approach for personal protective equipment monitoring | Pisu A., Elia N., Pompianu L., Barchi F., Acquaviva A., Carta S., | 2024 | Expert Systems with Applications |
| Enriching Ontologies with Disjointness Axioms using Large Language Models | Crum E., De Santis A., Ovide M., Pan J., Pisu A., Lazzari N., Rudolph S., | 2024 | CEUR Workshop Proceedings |
| Instruct Large Language Models for Public Administration Document Information Extraction | Carta S., Giuliani A., Manca M.M., Piano L., Pisu A., Tiddia S.G., | 2024 | CEUR Workshop Proceedings |
| Classifying Scientific Topic Relationships with SciBERT | Pisu A., Pompianu L., Salatino A., Osborne F., Riboni D., Motta E., Recupero D.R., | 2024 | CEUR Workshop Proceedings |
| Leveraging Language Models for Generating Ontologies of Research Topics | Pisu A., Pompianu L., Salatino A., Osborne F., Riboni D., Motta E., Recupero D.R., | 2024 | CEUR Workshop Proceedings |
| FootApp: An AI-powered system for football match annotation | Barra S., Carta S.M., Giuliani A., Pisu A., Podda A.S., Riboni D., | 2023 | Multimedia Tools and Applications |
| A comparison of audio-based deep learning methods for detecting anomalous road events | Balia R., Giuliani A., Piano L., Pisu A., Saia R., Sansoni N., | 2022 | Procedia Computer Science |
Pisu A., Elia N., Pompianu L., Barchi F., Acquaviva A., Carta S., Enhancing workplace safety: A flexible approach for personal protective equipment monitoring (2024), Expert Systems with Applications
Crum E., De Santis A., Ovide M., Pan J., Pisu A., Lazzari N., Rudolph S., Enriching Ontologies with Disjointness Axioms using Large Language Models (2024), CEUR Workshop Proceedings
Carta S., Giuliani A., Manca M.M., Piano L., Pisu A., Tiddia S.G., Instruct Large Language Models for Public Administration Document Information Extraction (2024), CEUR Workshop Proceedings
Pisu A., Pompianu L., Salatino A., Osborne F., Riboni D., Motta E., Recupero D.R., Classifying Scientific Topic Relationships with SciBERT (2024), CEUR Workshop Proceedings
Pisu A., Pompianu L., Salatino A., Osborne F., Riboni D., Motta E., Recupero D.R., Leveraging Language Models for Generating Ontologies of Research Topics (2024), CEUR Workshop Proceedings
Barra S., Carta S.M., Giuliani A., Pisu A., Podda A.S., Riboni D., FootApp: An AI-powered system for football match annotation (2023), Multimedia Tools and Applications
Balia R., Giuliani A., Piano L., Pisu A., Saia R., Sansoni N., A comparison of audio-based deep learning methods for detecting anomalous road events (2022), Procedia Computer Science