People

Coordination

Roberto Basili (Head Coordinator, Chief Scientist)
Full Professor
basili@info.uniroma2.it
BIO: Since April 2017, Full Professor at the Department of Computer Science of the University of Rome, Tor Vergata and, since 1991, a member of the Artificial Intelligence group at Tor Vergata (ART). His research is focused on Natural Language Processing, Machine Learning, Knowledge Representation and applications such as Information Retrieval, Semantic Web, and Computational Social Science.

Danilo Croce (Coordinator)
Associate Professor
croce@info.uniroma2.it
BIO: He is a tenure-track Assistant Professor in Computer Science at the University of Rome, Tor Vergata. He specialises in Machine Learning, focusing on NLP, Information Retrieval, and Data Mining, exploring Large Language Models and Multi-Modal Models. He has over 150 publications, with several awards and top rankings. He actively participates in European projects and reviews for major international conferences like ACL and AAAI.

PhD Students

Federico Borazio
borazio@ing.uniroma2.it
BIO: 2nd-year Ph.D. student in Data Science at the University of Rome Tor Vergata, his research focuses on Deep Learning and Natural Language Processing, with a particular emphasis on Generative AI, Knowledge Discovery in the medical domain, and Knowledge Injection in Large Language Models.

Elisa Passone
passone@ing.uniroma2.it
BIO: Elisa Passone is a PhD student in Data Science (pillar Culture, Arts and Society). She has a Master’s degree in Music and Spectacle. Her PhD project is ArTCHAT, an interactive portal on Performing Arts, realised using LLMs.

Shahid Iqbal Rai
rjshahidrai@gmail.com
BIO: Shahid Iqbal Rai, an esteemed international scholar from Pakistan, is currently pursuing a Ph.D. in Data Science at the University of Rome Tor Vergata, Italy, specialising in Natural Language Processing with a keen focus on Large Language Models (LLM).

Seyed Alireza Mousavian Anaraki
alireza.mousabiananaraki1@outlook.com
BIO: He started PhD in Data Science at the University of Rome Tor Vergata, Italy in 2023, focusing on AI-driven decision-making in management. He earned his MSc in Engineering Management from the Iran University of Science and Technology, Iran in 2021.

Natalia Pichierri
pichierrinatalia@gmail.com
BIO: Engineer and MIM professor of Computer Science, led digital transition and AI projects for Sogesid SPA, MASE, IPA, Leonardo SPA, Gucci, RAI. Lecturer in various Masters, including Rome Business School, MIS of Tor Vergata, and Intelligence and Security at Link.

Sergio José Peresson
sergiojose.peresson@gmail.com
BIO: Graduate in “Pharmaceutical Chemistry and Technology” from the Department of “Life Sciences” at the University of Modena and Reggio Emilia. Currently working on automatic prediction of spectra of complex mixtures. Presently pursuing a PhD in the Data Science program at the University of Rome “Tor Vergata”

Collaborators

Claudiu Daniel Hromei
hromei@ing.uniroma2.it
BIO: AI & NLP researcher, specialising in Human-Robot Interaction, NLP, and Generative AI. His research explores Large Language Models, employing techniques like LoRA. He also works on integrating multi-modal inputs with LLMs, i.e. text and images.

Andriy Shcherbakov
shcherbakov@revealsrl.it
BIO:

Antonio Scaiella
scaiella@revealsrl.it
BIO: Antonio Scaiella specialises in Human-Language Technologies, Large Language Models, OCR, Information Extraction, Sentiment Analysis, Semantic Search, and Computer Vision. He earned a Master’s in Computer Science from Roma Tor Vergata (2019), focusing on image captioning using Deep Neural Networks.

Monika Kakol
kakol@revealsrl.it
BIO:

Daniele Margiotta
daniele.margiotta@uniroma2.it
margiotta@revealsrl.it
BIO: Artificial Intelligence Developer at Reveal s.r.l., Adjunct Professor at the University of Rome “Tor Vergata”, and former researcher in the field of Neural Learning at the University of Rome “Tor Vergata”, where he specialised in the study and development of Machine Learning models.