About me
I am a senior Assistant Professor in the Computer Science Department at the University of Bari Aldo Moro, Italy and a member of the SWAP research group, where I work on cutting-edge research in Artificial Intelligence, Natural Language Processing, and Recommender Systems. From 2014 to 2017, I pursued my Ph.D. studies, culminating in the successful defense of my Ph.D. in Computer Science and Mathematics in April 2018. My doctoral thesis, titled "An affect-aware computational model for supporting decision-making through recommender systems", showcased my expertise and innovative thinking in machine learning–driven recommendation.
I have served as a program committee member for several leading international conferences, including IJCAI, ECAI, IUI, AIVR, RecSys, UMAP, CIKM, SIGIR and WWW, reflecting my commitment to advancing research and fostering collaboration among esteemed colleagues. I have also played key roles in organizing major scientific events. I was an organizing committee member for the AI*IA 2017 conference and co-organizer of the EVALITA 2018 ABSITA challenge on aspect-based sentiment analysis. More recently, I helped organize successful editions of EVALITA 2023, NL4AI 2022/23, ACM RecSys IntRS 2022-20246, and the ACM UMAP 2020-26 ExUM Workshops, with a strong focus on user modeling, content personalization, and semantic representation. I have also supported the community as a co-chair for ACL 2022, EVALITA 2023, EACL 2024, EMNLP 2024, CLiC-it 2025, ACM RecSys 2025, EACL 2026 and 2027 .
My expertise is further recognized through my activity as an official reviewer for numerous international journals, consolidating my reputation in NLP and Recommender Systems. I currently serve on the Reviewer Editorial Board of more than 35 international Computer Science journals, including Information Processing and Management (Elsevier), Expert Systems with Applications (Elsevier), and IEEE Transactions on Knowledge and Data Engineering (IEEE Press). Notably, I was a Marie Skłodowska-Curie Research and Innovation Staff Exchange (MSCA-RISE) fellow from 2016 to 2018, as part of Project No. 691071, "Seo-Dwarf: Semantic EO Data Web Alert and Retrieval Framework", where I contributed to pioneering research on semantic technologies and intelligent data access.
My research interests span Information Filtering, Recommender Systems, Natural Language Processing, and Cognitive Computing. Over the years, I have developed solid expertise in Artificial Intelligence, Machine Learning, and Data Mining, particularly in large-scale and big data scenarios. As an AI researcher and academic, I remain strongly committed to innovation, rigorous experimentation, and the development of intelligent systems that enhance user experience and support effective decision-making.
What i'm doing
-
LLMs and Agentic AI Models
I am currently active in the implementation of state of the art AI models, Agentic AI, LLMs in the field of NLP, GenAI and Recommender Systems.
-
Symbiotic AI
I work on innovative topics that aim to create AI models that are centered on human-machine symbiosis.
-
Holistic User Modeling
In several research projects I am focusing on holistic user profiling approaches.
-
Multimodal, Multisource, Multiperspective Data Sources
I am actively on the possibility of dealing with different types of data sources to make the AI models versatile and robust.

