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Angela Bonifati I am the Chair of the EDBT Executive Board and Association (2020-2025). I was the Program Chair of ACM Sigmod 2022, a flagship conference on Data Management. Research Interests: I am interested in several interdisciplinary areas of Artificial Intelligence and Data Management, specifically in graph databases, knowledge graphs and data integration. Precisely, my current research interests are on the interplay of structured (relational) and semistructured (graph-oriented) data paradigms. In particular, I am currently working on several data management topics, such as data integration, data quality, query processing, indexing, data science and databases for machine leaning. For many of these topics, I am interested in problems that lead to multidisciplinary applications (such as those for medical and life sciences data). Awards: I have received multiple distinctions for my research. Recently, I received the prestigious 2023 IEEE TCDE Impact Award for "For contributions to the active and interdisciplinary areas of graph databases, knowledge graphs and data integration and their impact on data-intensive systems." I received a Best Paper Award at ICDE 2022 and a Best Paper Runner Up Award at VLDB 2022. I won the ACM SIGMOD Research Highlight Award, which recognizes projects across premier database conferences that "exemplify core database research, address an important problem, and have the potential of significant impact." Previously, I have been nominated French Scholar 2020 for the multidisciplinary aspects of my research. I am the recipient of several Endowed Research Chairs (2011-2013, 2018-2021 from University of Lille and INRIA, respectively). Upcoming Keynotes: I am a Keynote speaker at CODS/COMAD 2023 (International Conference on Data Science and Management of Data) in January 2023, at the EDBT/ICDT Workshops in March 2023, at DASFAA 2023 in April 2023 and at the Alberto Mendelzon Workshop (AMW) 2023 on Foundations of Data Management in May 2023. Funding: My research is supported by the French national research agency under the 2015, 2018, 2021 and 2022 ANR (Agence Nationale de la recherche) collaborative research programme. Among the others, I am the Principal Investigator of the ANR Project QualiHealth (2019-2024), the PI of the HyGraph ANR/DFG project (in partnership with Univ. of Leipzig & ScaDS.AI) (2022-2025). I a WP leader in the ANR project VeryGraph (2021-2025) in partnership with ENS, PSL University (Paris) and LIG CNRS (Grenoble). I am also a member of the H2020 EU project Qualitop in partnership with the Civil Hospitals in Lyon. These grants focus either on on applying data management techniques to multidisciplinary domains or on future challenges of graph data management. My research is also supported by companies with gifts from Oracle Labs, Neo4j etc and by French Institutes, such as IDEX (Excellence Initiative) and Institut Carnot LSI. An up-to-date list of my publications can be found on DBLP.
Books:
Querying Graphs (with G. Fletcher, H. Voigt and N. Yakovets) Synthesis Lectures on Data Management (Morgan & Claypool Publishers) 2018 ![]() Schema Matching and Mapping (with Z. Bellahsene and E. Rahm) (Springer Data-Centric Systems and Applications) 2011 and its google scholar (thanks to E. Rahm) Professional Activities (last 5 years):
Responsabilités (in French):
You can contact me at one of the following e-mail addresses: angela[doT]bonifati[aT]gmail[doT]com angela[doT]bonifati[aT]univ[dasH]lyon1[doT]fr This file last modified Sunday May 28, 2023 |