Donatella Firmani
Assistant Professor
Roma Tre University
Engineering Department, Computer Science and Automation
Big Data and Databases Research Group
donatella.firmaniti.3amorinu@inamrif.alletanod@uniroma3.it
Bio Sketch
Donatella Firmani got her PhD under the supervision of prof. Giorgio Ausiello. She was visiting student at AT&T Labs with a Visitor Grant from Rutgers University. Her research activity is dedicated to the study, development, and application of algorithmic methods for different aspects of data management, including data integration, knowledge discovery and model interpretability for data integration tasks. She is serving in the organizing committee of ACM-W womENcourage, aimed at bringing together women in the computing profession.
Publications
Last accepted papers:
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CIKM 2019, "Shared-Nothing Distributed Enumeration of 2-Plexes", with Alessio Conte, Maurizio Patrignani and Riccardo Torlone
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IEEE ICWS 2019, "On Computing Throttling Rate Limits in Web APIs through Statistical Inference", with Francesco Leotta and Massimo Mecella
Recent selected papers:
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SIGMOD 2018, "Robust Entity Resolution using Random Graphs", with Sainyam Galhotra, Barna Saha and Divesh Srivastava
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KDD 2018, "Towards Knowledge Discovery from the Vatican Secret Archives. In Codice Ratio - Episode 1: Machine Transcription of the Manuscript", with Marco Maiorino, Paolo Merialdo and Elena Nieddu
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KDD 2017, "Fast Enumeration of Large k-Plexes", with Alessio Conte, Caterina Mordente, Maurizio Patrignani and Riccardo Torlone
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VLDB 2016, "Online Entity Resolution Using an Oracle", with Barna Saha and Divesh Srivastava
Full list of papers:
Research Projects
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In Codice Ratio. The project aims at developing novel methods and tools to support content analysis and knowledge discovery from large collections of historical documents. Read the MIT Technology Review article on the project!
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Alaska Benchmark. The project aims at building an end-to-end benchmark, designed up-front for dealing with the complexity of different integration tasks.
Professional
Awards
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2019: IEEE ICWS Best Paper Award "On Computing Throttling Rate Limits in Web APIs through Statistical Inference", with Francesco Leotta and Massimo Mecella
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2018: SIGMOD Reproducibility Award for the paper "Robust Entity Resolution using Random Graphs", with Sainyam Galhotra, Barna Saha and Divesh Srivastava
Ph.D. Students
(co-advised with Paolo Merialdo)
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expected 2022: Andrea Rossi
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expected 2021: Elena Nieddu
Teaching