Gianmaria Silvello is an Associate Professor in the Department of Information Engineering at the University of Padua, a position he has held since December 2020. Before this role, he held the position of Assistant Professor from 2018 to 2020, during which he was on a tenure-track path within the same department. Gianmaria's academic pursuits extend beyond the borders of Italy, as evidenced by his extensive research activities abroad. Notably, he served as a Visiting Scholar at the Department of Computer and Information Science of the University of Pennsylvania from February 2016 to March 2018. Furthermore, he enriched his academic experience as a Visiting Researcher at the School of Informatics at the University of Edinburgh from 2009 to 2010.

Gianmaria Silvello worked on several European Projects, shaping the landscape of data integration and semantic modeling. His pivotal role spearheading projects like HEREDITARY and EXA-MODE underscores his unwavering commitment to advancing scientific frontiers. As HEREDITARY's principal investigator and project coordinator, Silvello is leading a consortium of 18 partners in designing a groundbreaking Polystore system for managing multimodal biomedical data, with a total project budget of €11,041,958.7. Similarly, his leadership in EXA-MODE, where he coordinated semantic knowledge discovery and visualization, highlights his ability to drive large-scale analytics initiatives for multimodal data.
Beyond his role in European-level projects, Silvello's impact extends locally. His involvement in several local projects underscores his dedication to fostering research excellence within his community. Through these endeavors, Silvello demonstrates a hands-on approach to technical problem-solving, leveraging his expertise to tackle challenges in keyword search on structured data and the development of innovative data.
From 2017 to 2018, served as a member of the Department of Information Engineering's council at the University of Padova. Since 2018, he has been a doctoral School of Information Engineering faculty member. Since 2022, has been a member of the International Advisory Panel of the Danish Data Science Academy, selected based on scientific merits. In 2019, served as an external expert on the evaluation committee for H2020 projects.

Gianmaria Silvello received the Best Paper Award at ECIR 2018 for "Statistical Stemmers." In 2020, he won the IP&M Ph.D. Paper Award for "Gender stereotype reinforcement." Also, he earned the Best Student Paper Award at TPDL 2023 for "How to cite a Web ranking." These awards highlight his impactful contributions to information retrieval and management.

Latest Publications (over 180 peer-reviewed papers)
1. S. Marchesin and G. Silvello (2024). "Efficient and Reliable Estimation of Knowledge Graph Accuracy." Proc. VLDB Endow. Vol 17.
2. S. Marchesin et al. (2023). "Building a Large Gene Expression-Cancer Knowledge Base with Limited Human Annotations." Database: The Journal of Biological Databases and Curation.
3. A. Fabris, S. Messina, G. Silvello, and G. A. Susto (2022). "Algorithmic Fairness Datasets: the Story so Far." Data Mining and Knowledge Discovery.
4. N. Marini et al. (2022). "Unleashing the potential of digital pathology data by training computer-aided diagnosis models without human annotations." NPJ Digital Medicine.

More at: http://www.dei.unipd.it/~silvello/

For a complete and detailed list visit: http://www.dei.unipd.it/~silvello/publications.html
or: http://dblp.uni-trier.de/pers/hd/s/Silvello:Gianmaria.html