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

I joined Roma Tre as post-doc in 2016 and started as assistant professor (ricercatore) in 2019. My 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. I received my Ph.D. in Computer science and Engineering at Sapienza University and I was visiting student at AT&T Labs with a Visitor Grant from Rutgers University.

Publications

Last accepted papers:

• CIKM 2019, "Shared-Nothing Distributed Enumeration of 2-Plexes", with Alessio Conte, Maurizio Patrignani and Riccardo Torlone
• IEEE ICWS 2019, "On Computing Throttling Rate Limits in Web APIs through Statistical Inference", with Francesco Leotta and Massimo Mecella

• SIGMOD 2018, "Robust Entity Resolution using Random Graphs", with Sainyam Galhotra, Barna Saha and Divesh Srivastava
• 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
• KDD 2017, "Fast Enumeration of Large k-Plexes", with Alessio Conte, Caterina Mordente, Maurizio Patrignani and Riccardo Torlone
• VLDB 2016, "Online Entity Resolution Using an Oracle", with Barna Saha and Divesh Srivastava

• Google Scholar
• DBLP

Research Projects

• 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at developing novel methods and tools to support content analysis and knowledge discovery from large collections of historical documents.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.
• Alaska Benchmark. The project aims at building an end-to-end benchmark, designed up-front for dealing with the complexity of different integration tasks.

Awards

• 2019: IEEE ICWS Best Paper Award "On Computing Throttling Rate Limits in Web APIs through Statistical Inference", with Francesco Leotta and Massimo Mecella
• 2018: SIGMOD Reproducibility Award for the paper "Robust Entity Resolution using Random Graphs", with Sainyam Galhotra, Barna Saha and Divesh Srivastava

Ph.D. Students

• expected 2023: Tommaso Teofili
• expected 2022: Andrea Rossi
• expected 2021: Elena Nieddu

Professional

• 2020: PC member of EDBT, aiDM@SIGMOD and SEBD, PC co-Chair of PIE@EDBT, PC member and Poster co-Chair of ICDE, co-Chair of SIGMOD progamming contest.
• 2019: PC member of CIKM and ICDE, PC co-Chair of DI2KG@KDD and PIE@CAiSE, Scholarship Chair of ACM WomENcourage. Sponsor for the Django Girls workshop.
• 2018: PC member of SEBD

• Master data management of administrations, with Dipartimento della funzione pubblica. The project aims at providing a unified view over different administration indices, such as IPA and ISTAT, and a collection of tools for semi-automatic data integration and data quality management.
• Data extraction from fiscal documents, with LAMBO. The project aimed at prototyping advanced OCR tools for fiscal documents, with high-performance on mobile devices (possibly without Internet access). Read the blog article on our results. (in Italian)

Teaching

• A.A. 2019-20: Elementi di Informatica, Laurea in Ingegneria Meccanica
• A.A. 2019-20: Multi-Source Data Integration with Humans In The Loop, Ph.D. Course
• A.A. 2016-19: Fondamenti di Informatica, Laurea in Ingegneria Elettronica