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Previous Invited Speakers

The researchers below were distinguished invited speakers at previous DATA conferences.
We are indebted to them for their contribution to heighten the conference level.

2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012


Data Modeling and AI: From Semantic Networks to Knowledge Graphs    
Maurizio Lenzerini, Sapienza University of Rome, Italy

Deep Reinforcement Learning to Improve Traditional Supervised Learning Methodologies  
Luís Paulo Reis, Faculty of Engineering / LIACC, University of Porto, Portugal


From Supply Chain Resilience to Ecosystem Viability: Lessons from and Thinking Beyond the COVID-19 Pandemic  
Dmitry Ivanov, Berlin School of Economics and Law, Germany

The Difficult Path to Become Datadriven    
Lionel Rigaud, CTO/CEO of TRIMANE and Chief Data Officer at The Blockchain Group, France


From Representation to Mediation: Modeling Information Systems in a Digital World    
Jan Recker, University of Hamburg, Germany

A Profile-aware Methodological Framework for Collaborative Multidimensional Modeling: Agro-biodiversity Case Study    
Sandro Bimonte, INRAE, France

Querying Decentralized Knowledge Graphs  
Hala Skaf-Molli, Nantes University, France

Database Systems and Information Management: Trends and a Vision    
Volker Markl, German Research Center for Artificial Intelligence (DFKI) and Technische Universität Berlin (TU Berlin), Germany


Process Mining as the Superglue between Data and Process Management    
Wil van der Aalst, RWTH Aachen University, Germany

From Data to the Press: Data Management for Journalism and Fact-Checking    
Ioana Manolescu, Inria, France


Overcoming the Drawbacks of Traditional Process Management Software  
Manfred Reichert, Institute of Databases and Information Systems, Ulm University, Germany

Blockchains and Enterprise Modeling: Opportunities and Challenges    
Hans-Georg Fill, University of Fribourg, Switzerland


Towards Interactive Data Exploration    
Carsten Binnig, TU Darmstadt, Germany

Data-Driven Crowdsourcing    
Tova Milo, Tel Aviv University, Israel


Managing Big Multidimensional Data - A Journey From Acquisition to Prescriptive Analytics  
Torben Bach Pedersen, Computer Science, Aalborg University, Denmark

On Information Propagation, Social Influence, and Communities
Francesco Bonchi, ISI Foundation, Italy

Data-Driven Genomic Computing: Making Sense of the Signals from the Genome    
Stefano Ceri, Dipartimento di Elettronica e Informazione, Politecnico di Milano, Italy

Advances and Future Challenges in Machine Learning and Knowledge Extraction.  
Andreas Holzinger, Medical Informatics, Medical University Graz, Austria


Schema Evolution for Relational Databases   
Panos Vassiliadis, University of Ioannina, Greece

Data Lakes: A Solution or a new Challenge for Big Data Integration?  
Christoph Quix, Hochschule Niederrhein, University of Applied Sciences and Fraunhofer FIT, Germany


Collaborative Algorithm Platforms  
Michele Sebag, Independent Researcher, France

Connecting Services to the Web of Data  
John Domingue, Independent Researcher, United Kingdom

The Provenance of Consumer and Social Media Data    
Paul Longley, Independent Researcher, United Kingdom


The Geometry and Topology of Data Analysis    
Herbert Edelsbrunner, Independent Researcher, Austria

Resource-Aware Data Analysis  
Katharina Morik, Dept. Computer Science VIII, TU Dortmund University, Germany

Social Business Intelligence - OLAP Applied to User Generated Contents    
Matteo Golfarelli, DEIS, University of Bologna, Italy

Model-driven Development of Multi-View Modelling Tools - The MUVIEMOT Approach  
Dimitris Karagiannis, Dept. of Knowledge and Business Engineering, University of Vienna, Austria


Main-Memory Centric Data Management – Open Problems and Some Solutions     
Wolfgang Lehner, Database Technology Group, Technische Universität Dresden, Germany

Context-Aware Decision Support in Dynamic Environments - Theoretical & Technological Foundations    
Alexander Smirnov, SPC RAS, Russian Federation


On Knowledge Discovery and Interactive Intelligent Visualization of Biomedical Data - Challenges in Human-Computer Interaction & Biomedical Informatics    
Andreas Holzinger, Human-Centered AI Lab, Institute for Medical Informatics and Statistics, Medical University Graz, Austria

Visualization & Data Mining for High Dimensional Datasets    
Alfred Inselberg, School of Mathematical Sciences, Tel Aviv University, Israel

Issues in Combined Static and Dynamic Data Management    
Daniela Nicklas, Department für Informatik, Carl von Ossietzky Universitaet Oldenburg, Germany