DEAI Programme Coordinator

Esteban Zimányi

Esteban ZimányiEsteban Zimányi is a full professor and the director of the Department of Computer & Decision Engineering (CoDE) at ULB. He started his studies at the Universidad Autónoma de Centro América, Costa Rica. He received a B.Sc. (1988) and a doctorate (1992) in computer science from the Faculty of Sciences at the ULB. During 1997, he was a visiting researcher at the Database Laboratory of the Ecole Polytechnique Fédérale de Lausanne, Switzerland. He co-authored and co-edited 16 books, 18 book chapters, 19 articles in international journals, and 82 papers in international conferences. He is Editor-in-Chief of the Journal on Data Semantics published by Springer. His current research interests include data warehouses, spatio-temporal databases, geographic information systems, and semantic web.

Local Programme Coordinators

Dimitris Sacharidis

Dimitris SacharidisDimitris Sacharidis is an assistant professor at the Department of Computer & Decision Engineering (CoDE) at ULB. Prior to that he was an assistant professor at the Technical University of Vienna, and a Marie Skłodowska Curie fellow at the “Athena” Research Center and at the Hong Kong University of Science and Technology. He finished his PhD and undergraduate studies on Computer Engineering at the National Technical University of Athens, while in between he obtained an MSc in Computer Science from the University of Southern California. He has served as a PC member and has been involved in the organization of top data science related conferences, and has acted as a reviewer and editorial member of associated journals. His research interests include databases, data mining, and recommender systems.

Oscar Romero

Oscar RomeroOscar Romero is a full professor at Universitat Politècnica de Catalunya – BarcelonaTech (UPC) and a member of the DTIM research group. His research focuses on data-intensive systems with the ultimate objective to operationalize and automate different stages of the complete data lifecycle in fields such as Big Data, Data Science and data-driven Artificial Intelligence. He has published 100+ papers on top venues and served in the Programme Committee in top-tier conferences such as VLDB, ICDE, EDBT, ISWC, WWW, IEEE Big Data, as well as successfully supervised 9 PhD theses. He has also participated in 20+ projects, including H2020 and Horizon Europe projects, Erasmus Mundus Joint PhD and Master programmes (IT4BI, IT4BI-DC, BDMA, DEAI and DEDS), national research projects and have signed 15+ contracts with leading IT companies.

Massimiliano de Leoni

Massimiliano de LeoniMassimiliano is an Associate Professor of Computer Science at the University of Padua, Italy. He obtained a Ph.D. in Computer Engineering at SAPIENZA – University of Rome on a thesis on Business Process Flexibility and Adaptation. Previously he was an Assistant Professor of Computer Science at Eindhoven University of Technology. His teaching experiences are in the area of Database, Distributed Systems, Business Process Intelligence, Process Mining, and Business Information Systems. He was Demo Chair and Industry chair at the Business Process Management conference in 2018 and 2021, respectively, He also acted as a General Chair of the International Conference in Process Mining for 2020 (ICPM 2020). His research is in the Data-Science area with special emphasis on Business Process Management and Analytics.

Katja Hose

Katja HoseKatja Hose is a Full Professor of Data Management at TU Wien (Faculty of Informatics, Institute of Logic and Computation), where she leads the Data Management and Knowledge-Driven AI (DMKI) lab. She received her PhD in Computer Science from Ilmenau University of Technology, was a postdoctoral researcher at the Max Planck Institute for Informatics in Saarbrücken, and later became a professor at Aalborg University before joining TU Wien. Her research focuses on data management and knowledge engineering, including knowledge graphs, graph data management, data integration, query processing and optimization, and the use of artificial intelligence in data systems. She has served as Program Co-Chair of VLDB 2027, ISWC 2024, EDBT 2023, and ESWC 2021. She is a member of the editorial boards of the VLDB Journal, Transactions on Graph Data & Knowledge, and the Semantic Web Journal, and has been serving as a PC member of various conferences.

Angela Bonifati

New ACM SIGMOD Officers – Angela Bonifati, Alexandra Meliou, and Manos Athanassoulis!Angela Bonifati is a Distinguished Professor of Computer Science (Professeur Classe Exceptionnelle) at Université Claude Bernard Lyon 1, affiliated with the CNRS LIRIS research lab, where she leads the Database Group. She is also an Adjunct Professor at the University of Waterloo (Canada) and a Senior Member of the Institut Universitaire de France (IUF). Her research focuses on graph databases, knowledge graphs, data integration, data curation, query processing, and database systems for artificial intelligence and machine learning. She has co-authored numerous papers in leading international conferences and journals and has received several distinctions, including the IEEE TCDE Impact Award (2023) and an ERC Advanced Grant (2024). She has served as Program Chair of ACM SIGMOD 2022, Chair of the EDBT Executive Board (2020–2025), and is a member of the editorial boards of the VLDB Journal, IEEE Transactions on Knowledge and Data Engineering (TKDE), and ACM Transactions on Database Systems (TODS).