I am a senior Professor Assistant in the Computer Science Department at the University of Bari Aldo Moro, Italy. I am a member of the SWAP research group, where I contribute to cutting-edge advancements in the field of AI, NLP, and Recommender Systems.
From 2014 to 2017, I pursued my Ph.D. studies, culminating in a successful thesis defense of Computer Science and Mathematical topics 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 the field of Machine Learning.
I served as a program committee member for several esteemed international conferences, including IJCAI, ECAI, IUI, AIVR, RecSys, UMAP, and WWW. My involvement in these conferences demonstrates my commitment to advancing research and fostering collaboration among estimated colleagues. I also played key roles in organizing significant scientific events. I served as an organizing committee member for the Ai*iA 2017 conference and took on the role of co-organizer for the EVALITA 2018 challenge – ABSITA, which focused on aspect-based sentiment analysis. I have also contributed to organizing a successful edition of EVALITA 2023, NL4AI 2022/23 and the UMAP 2020/23 ExUm Workshops, emphasizing user modeling, content personalization, and semantic representation. Recently, I also supported the community as a co-chair for ACL 2022 and EACL 2024 international conferences.
My expertise has been sought after serving as an official reviewer for numerous international journals, further establishing my reputation as a knowledgeable authority in NLP and Recommender Systems. I am currently in the Reviewer Editorial Board of more than 35 Computer Science International 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 awarded the prestigious Marie Skłodowska-Curie Research and Innovation Staff Exchange (MSCA-RISE) fellowship in both 2016 and 2018. During these periods, I actively participated in Project No. 691071, titled "Seo-Dwarf: Semantic EO Data Web Alert and Retrieval Framework," further expanding my expertise and contributing to groundbreaking research.
What i'm doing
I am currently active in the implementation of state of the art AI models in the field of NLP and Recommender Systems.
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 Data Sources
I am actively on the possibility of dealing with different types of data sources to make the AI models versatile and robust.