Head of the Research Department Intelligent Analytics for Massive Data

Prof. Dr. Volker Markl

  • Address (Berlin)
    Alt-Moabit 91c
    D-10559 Berlin

Prof. Dr. Volker Markl


Mahdi Esmailoghli, Sergey Redyuk, Ricardo Martinez, Ziawasch Abedjan, Ariane Ziehn, Tilmann Rabl, Volker Markl

In: Holger J. Meyer, Hannes Grunert, Tim Waizenegger, Lucas Woltmann, Claudio Hartmann, Wolfgang Lehner, Christian Schmitz, Dhiren Devinder Serai, Tatiane Escobar Gava (editor). Datenbank-Spektrum (Spektrum) 19 Pages 1-18 Gesellschaft für Informatik Bonn 8/2019.

To the publication
Mahdi Esmailoghli, Sergey Redyuk, Ricardo Martinez, Ziawasch Abedjan, Tilmann Rabl, Volker Markl

In: Holger Meyer, Norbert Ritter, Andreas Thor, Daniela Nicklas, Andreas Heuer, Meike Klettke (editor). Datenbanksysteme für Business, Technologie und Web (BTW 2019). GI-Fachtagungen (BTW-2019) located at Fachtagung für Datenbanksysteme für Business, Technologie und Web (BTW) March 4-8 Rostock Germany Pages 297-300 ISBN 978-3-88579-684-8 Gesellschaft für Informatik, Bonn Bonn 3/2019.

To the publication
Melissa Gehring, Marcela Charfuelan Oliva, Volker Markl

In: 18th Symposium of Database systems for Business, Technology and Web. GI-Fachtagungen (BTW-2019) Student program located at 18th March 4-8 Rostock Germany University of Rostock 3/2019.

To the publication


Personal Information

Volker Markl is both Chief Scientist and Head of the Intelligent Analytics for Massive Data Research Group at the German Research Center for Artificial Intelligence (DFKI). At the Technische Universität Berlin (TU Berlin) he is Full Professor and Chair of the Database Systems and Information Management Group (DIMA). In addition, he is Director of the Berlin Big Data Center (BBDC) and Co-Director of the Berlin Machine Learning Center (BZML). 

His current research interests include novel hardware architectures for information management, scalable processing and optimization of declarative data analysis programs, data infrastructures, end-to-end machine learning, information marketplaces, technological enablers for responsible data management, and scalable data science, including graph mining, text mining, and machine learning.


  • ECBT 2019 Best Paper Award for the Paper “Efficient Window Aggregation with General Stream Slicing”
  • 1st Place in the BTW 2019 Data Science Challenge
  • Co-lead, Technical Enablers and Data Science Working Group of the German Platform for Artificial Intelligence (“Plattform Lernende Systeme”), 2018.
  • ACM SIGMOD 2016 Research Highlight Award
  • EDBT 2017 Best Demonstration Award
  • Mitglied der Expertenkommission “Zentrum Digitalisierung Bayern“, 2015.
  • Germany’s Leading Digital Minds (“Digitale Köpfe”) Award, 2014.
  • VLDB Best Paper Award, 2014.
  • Innovation Supporter Award, TU Berlin, 2012.
  • Status-only Professorship Appointment, University of Toronto, 2012 - 2018.
  • IBM Faculty Award, 2012.
  • IBM Shared University Grant Award, 2012.
  • Trusted Cloud Award, German Federal Ministry of Economics and Technology, 2011.
  • IBM Center of Advanced Studies Award 2010, 2011, 2012.
  • Hewlett Packard Open Innovation Award, 2009, 2010.
  • IBM Shared University Grant Award, 2008.
  • Pat Goldberg Best Paper Award, IBM, 2006.
  • Outstanding Technological Achievement Award, IBM, 2005.
  • Best Mentor Award, IBM, 2005.
  • Seventeen Invention Achievement Awards, IBM, 2001 – 2006.
  • Four Invention-Plateau Awards, IBM, 2001 – 2006.
  • IST Prize for TransBase HyperCube, European Commission and EUROCASE, 2001.
  • Outstanding Computer Science Dissertation, German Computer Society (GI), 2000.
  • Siemens Nixdorf Förderkreis, Siemens AG, 1992-1995.


1.         Gesellschaft für Informatik (GI), FG Datenbanken

2.         ACM

3.         ACM SIGMOD

4.         IEEE Computer Society

5.         Elected Trustee of the VLDB Endowment

6.         Elected Secretary of the VLDB Endowment

7.         Elected President of the VLDB Endowment

8.         Founding Member of the Big Data Value Association/Big Data Value PPP


  1. Elected Trustee of the VLDB Endowment
  2. Elected Secretary of the VLDB Endowment
  3. Elected President of the VLDB Endowment
  4. Founding Member of the Big Data Value Association/Big Data Value PPP



Exploratory Data Science over Raw Data

The idea of the ExDRa project is to investigate suitable system

support for the exploratory data science process on heterogeneous and distributed

raw data sources and to provide it as part of a...


Berliner Big Data Center


In order to optimally prepare industry, science and the society in Germany and Europe for the global Big Data trend, highly coordinated activities in research, teaching, and technology transfer...



A Service Platform for the Intelligent Optimization of Production Chains

The aim of the project SePiA.Pro is to develop an open and standardised service platform for optimization of production chains across machinery producers. The optimization parameters are based on...



Streamlined Analysis of Data at Rest and Data in Motion

Together with four leading European data economy enterprises as well as world-renown scientists and innovators DFKI will work in project STREAMLINE to meet modern day requirements of European online...



Predictive Analytics and Real-Time Interactive Visualization for Industry

PROTEUS mission is to investigate and develop ready-to-use scalable online machine learning algorithms and real-time interactive visual analytics to deal with extremely large data sets and data...


Portrait Photo

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz