Researcher Director at ISTI-CNR
Dr. Raffaele Perego (Male, Google Scholar H-index 39, Scopus H-index 25, ORCID 0000-0001-7189-4724) is a CNR research director with the Istituto di Scienza e Tecnologie dell’informazione “A. Faedo”, where he leads the High Performance Computing Lab (HPC Lab, http://hpc.isti.cnr.it). His main research interests are in the area of efficient algorithms and machine learning techniques for the management, analysis, and search of large amounts of data. The focus is addressing problems related to the design, implementation and deployment of information systems that scale far larger than most other systems and can effectively and efficiently provide answers to complex queries by possibly using a limited amount of computational resources. He published more than 170 papers on these topics on peer-reviewed journals and proceedings of international conferences. He coordinated research projects funded by national agencies and the European Commission.
He won the Best Paper Award at ACM SIGIR 2015, ACM DocEng 2016 and he was a recipient of the Yahoo Faculty Research and Engagement Program (FREP) award in 2014. He chaired ACM SIGIR in 2016 and ECIR in 2021. He serves as senior member in the PCs of the top-tier conferences in his research area (ACM SIGIR, ACM CIKM, ACM WSDM, ECIR, WWW) and in the PhD committee of the PhD program on Data Science of the Scuola Normale Superiore.
Recent selected publications
Ida Mele, Nicola Tonellotto, Ophir Frieder, Raffaele Perego: Topical result caching in web search engines. Inf. Process. Manag. 57(3): 102193 (2020)
Raffaele Perego, Giulio Ermanno Pibiri, Rossano Venturini: Compressed Indexes for Fast Search of Semantic Data. IEEE TKDE. (early access: 0.1109/TKDE.2020.2966609) (2020)
Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Nazli Goharian, Ophir Frieder: Efficient Document Re-Ranking for Transformers by Precomputing Term Representations. SIGIR 2020: 49-58
Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Nazli Goharian, Ophir Frieder: Training Curricula for Open Domain Answer Re-Ranking. SIGIR 2020: 529-538
Vinicius Monteiro de Lira, Craig Macdonald, Iadh Ounis, Raffaele Perego, Chiara Renso, Valéria Cesário Times: Event attendance classification in social media. Inf. Process. Manag. 56(3): 687-703 (2019)
Francesco Lettich, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Nicola Tonellotto, Rossano Venturini: Parallel Traversal of Large Ensembles of Decision Trees. IEEE Trans. Parallel Distributed Syst. 30(9): 2075-2089 (2019)