Keynote speakers

Gustavo Alonso

Department of Computer Science, ETH Zurich (ETHZ), Switzerland


Gustavo Alonso is a professor in the Department of Computer Science of ETH Zurich where he is a member of the Systems Group. He graduated in Telecommunications Engineering from the Technical University of Madrid, Spain and did his MSc and PhD at the University of California at Santa Barbara. After graduation, he was a research scientists at the IBM Almaden Research Center in San Jose, California before joining ETH. His research interests include data management, distributed systems, cloud computing architecture, and hardware acceleration through reconfigurable computing. Gustavo has served as PC chair for conferences in several areas including VLDB, CIDR, ICDE, EDBT, EuroSys, Middleware, and ICDCS and regularly serves in the Program Committees of CIDR, VLDB, SIGMOD, FPGA, ATC, ASPLOS, EuroSys,  OSDI, and MLSys. He was a member of the VLDB Endowment and the EDBT Executive Board and the Chair of EuroSys, the European Chapter of ACM SIGOPS. Gustavo has received 4 Test-of-Time Awards for his research in databases, software runtimes, middleware, and mobile computing. He is an ACM Fellow, an IEEE Fellow, a Distinguished Alumnus of the Department of Computer Science of UC Santa Barbara, and has received the Lifetime Achievements Award from the European Chapter of ACM SIGOPS (EuroSys). 

Keynote talk: Data Science in the Era of Heterogeneity

Timos Sellis

Archimedes Unit, Athena RC, Greece 


Timos Sellis is the Director of the "Archimedes" Research Unit of the "Athena" Research Center. Most recently he was a Facebook Researcher (USA, 2020-22), and Professor and Director of the Data Science Research Institute at Swinburne University of Technology (Australia, 2016-20). He received his M.Sc. degree from Harvard University (1983) and Ph.D. degree from the University of California at Berkeley (1986). He has served as a professor at the University of Maryland (1986-92), the National Technical University of Athens (1992-2013), and was the inaugural Director of the Institute for the Management of Information Systems of the "Athena" Research Center (2007-13). He is IEEE Fellow (2009) and an ACM Fellow (2013), for his contributions to database systems and data management. In March 2018 he received the IEEE TCDE Impact Award, for contributions to database systems research and broadening the reach of data engineering research.

Keynote talk: Re-configuring data practices for Intelligent, Reliable and Responsible decision-making systems.

Stratos Idreos

Gordon McKay Professor of Computer Science
Harvard John A. Paulson School of Engineering & Applied Sciences, USA


Stratos Idreos is a Gordon McKay Professor of Computer Science at the Harvard John A. Paulson School of Engineering and Applied Sciences. He leads DASlab, the Data Systems Laboratory at Harvard. His research focuses on building a grammar for systems with the goal of making it dramatically easier or even automating in many cases the design of workload and hardware-conscious systems for diverse applications including relational data analytics, NoSQL, machine learning, and Blockchain. For his doctoral work on Database Cracking, Stratos was awarded the 2011 ACM SIGMOD Jim Gray Doctoral Dissertation award and the 2011 ERCIM Cor Baayen award. In 2015 he was awarded the IEEE TCDE Rising Star Award from the IEEE Technical Committee on Data Engineering for his work on adaptive data systems. In 2020 he received the ACM SIGMOD Contributions award for his work on reproducible research and in 2022 he received the ACM SIGMOD Test of Time Award for his work on raw data processing. Stratos was PC Chair of ACM SIGMOD 2021 and IEEE ICDE 2022, he is the founding editor of the ACM/IMS Journal of Data Science and the chair of the ACM SoCC Steering Committee.

Keynote talk: The Data Systems Grammar: Self-designing Systems for the era of AI


Angela Bonifati

Computer Science (Professeur Classe Exceptionnelle), Lyon 1 University, France


Angela Bonifati is a Professor of Computer Science at Lyon 1 University and at the CNRS Liris research lab, where she leads the Database Group. She is also an Adjunct Professor at the University of Waterloo in Canada since 2020. Her current research interests are on several aspects of graph databases, knowledge graphs and data integration. She has also co-authored more than 150 publications in top venues of the data management field, including two Best Paper awards (ICDE22, VLDB22 runner up). She is the recipient of the TCDE Impact Award 2023 and a co-recipient of an ACM Research Highlights Award 2022. She has co-authored two books (on Schema Matching and Mapping edited by Springer in 2011 and on Querying Graphs edited by Morgan & Claypool in 2018) and an invited paper in ACM Sigmod Record 2018 on Graph Queries. She was the Program Chair of ACM Sigmod 2022 and EDBT 2020 and she is currently an Associate Editor for both Proceedings of VLDB and IEEE ICDE. She is an Associate Editor for several journals, including the VLDB Journal and ACM TODS. She is currently the President of the EDBT Executive Board and a member of the Sigmod Executive Committee.

Course title: Querying Graph Databases 

Floris Geerts

Department of Computer Science, University of Antwerp, Belgium 


Floris Geerts is professor at the University of Antwerp, Belgium. Previously, he was a senior research fellow at the University of Edinburgh and a postdoctoral researcher at the University of Helsinki. He received his PhD in 2001 from the University of Hasselt, Belgium. His research interests include the theory and practice of databases, the study of data quality, and more recently, the interaction between linear algebra, relational databases and graph neural networks. He has written a book on data quality and published over 130 technical papers. His awards include three best paper awards, the PODS Alberto O. Mendelzon Test-of-Time award, an ACM SIGMOD Research Highlight Award and an ICLR outstanding paper award. He was program chair of PODS and ICDT, the general chair of EDBT/ICDT and is currently the general chair of PODS. He served on the editorial boards of ACM TODS and IEEE TKDE, and was editor of various proceedings and special journal issues in the area of databases.

Course title: The power of graph neural networks

Nikos Mamoulis

Department of Computer Science and Engineering, University of Ioannina, Greece


Nikos Mamoulis is a professor at the Department of Computer Science and Engineering, University of Ioannina, where he holds a faculty position since 2014. During 2001-2014, he was a faculty member at the Department of Computer Science, University of Hong Kong. He holds a BEng degree in computer engineering and informatics from the University of Patras, Greece, and a PhD in computer science in from HKUST. His research focuses on the management and mining of complex data types, such as spatial, temporal, multi-dimensional, and graph data. He has more than 250 publications in top conferences and journal in the areas of data management and mining. His work on spatio-temporal data management has received best paper and test-of-time awards. He is the recipient of a Marie Curie fellowship (2014-2018) and he has been granted over 15 national research grants as a PI in Hong Kong and Greece. He is a senior ACM member. He has participated in many organization boards of international conferences and has been a PC member in more than 120 program committees of top conferences in database research (e.g., SIGMOD, VLDB, ICDE, EDBT, KDD). He has been an associate editor and an editorial board member in several journals including TKDE, VLDBJ, KAIS, and Geoinformatica.

Course title: Spatial and multi-dimensional indexing and data analytics 

Paolo Papotti

Associate professor 
Data Science department, EURECOM, France


Paolo Papotti is an Associate Professor at EURECOM, France since 2017. He got his PhD from Roma Tre University (Italy) in 2007 and had research positions at the Qatar Computing Research Institute (Qatar) and Arizona State University (USA). His research is focused on data management and information quality. He has authored more than 100 publications, and his work has been recognized with two “Best of the Conference” citations (SIGMOD 2009, VLDB 2016), three best demo award (SIGMOD 2015, DBA 2020, SIGMOD 2022), and two Google Faculty Research Award (2016, 2020). 

Course title: Computational Methods to Counter Online Misinformation

Jens Teubner

Department of Computer Science, TU Dortmund, Germany


Jens Teubner is the head of the Databases and Information Systems Group at TU Dortmund University. Previously, he held positions as a postdoc at the IBM T.J. Watson Research Lab in New York, USA and as a senior researcher at the Systems Group of ETH Zürich.  He holds a PhD in Computer Science from TU München (graduated in 2006 under the guidance of Torsten Grust; topic: XML query processing) and a Masters degree in physics from the University of Konstanz in Germany (advisor: Ernst Bucher). The focus of Jens Teubner's research is the implementation of database systems on modern hardware architectures.  He has pioneered the use of FPGAs for database acceleration.  More recently, his work revolves around database query compilation and on database/operating system co-design.

Course title: TBA



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