معرفی
Francesco Silvestri is an Associate Professor in Computer Engineering at the Department of Information Engineering, University of Padova. Previously, he held roles including Assistant Professor (2016-2019) and post-doctoral positions at the University of Padova and IT University of Copenhagen. He also served as a part-time lecturer at IT University of Copenhagen (2013-2014) and as a visiting scholar at the University of Texas at Austin (2006-2007). He earned his Ph.D. in Computer Engineering from the University of Padova in 2009.
His research focuses on algorithms and data structures, emphasizing big data efficiency, high performance computing, and modern architectures. Key areas include similarity search, dimensionality reduction, graph mining, and parallel algorithms. He supervises PhD students and collaborates with researchers globally. His work has been recognized with awards such as the ICDT Best Paper Award (2023) and the ACM SIGMOD Research Highlights Award (2020).
Teaching includes courses like Big Data Computing and Algorithm Design at the University of Padova and IT University of Copenhagen. He has served on program committees for major conferences like Euro-Par, IPDPS, and SIGMOD. His contributions span academic publications and industrial collaborations, including work on mobility data analysis and resilient algorithms.
He is affiliated with the AIDA Lab (Algorithms for Intelligent Data Analytics) and actively contributes to the academic community through editorial roles, such as being an Associated Editor of the ACM Transactions on Parallel Computing.
