Scholar
Leonardo Pellegrina
Google Scholar ID: lnaBFgoAAAAJ
Assistant Professor, University of Padova
Citations & Impact
Citations
222
H-index
8
i10-index
8
Publications
19
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Papers published: 'Fast Percolation Centrality Approximation with Importance Sampling' accepted to ICDM 2025; 'Scalable Rule Lists Learning with Sampling' accepted to KDD 2024; 'Efficient Discovery of Significant Patterns with Few-Shot Resampling' accepted to VLDB 2024. Awards: Received Teaching Award of Merit from the University of Padova in November 2024.
Research Experience
- Currently, he is an Assistant Professor (RTT) at the Department of Information Engineering (DEI) of the University of Padova. Previously, he was a PostDoc and Ph.D. student at the University of Padova, and a Visiting Research Fellow at the Department of Computer Science, Brown University.
Education
- Ph.D. student and PostDoc: University of Padova, supervised by Prof. Fabio Vandin; Visiting Research Fellow: Department of Computer Science, Brown University, supervised by Prof. Eli Upfal.
Background
- Research interests include developing practical and theoretically sound algorithms for Data Mining and Computational Biology. Currently, he is an Assistant Professor (RTT) at the Department of Information Engineering (DEI) of the University of Padova and part of the AIDA Lab.
Miscellany
- Links and contacts: Curriculum Vitae, Publications, Google Scholar, Twitter, GitHub, etc.
Co-authors