Head of the Research Department Intelligent Analytics for Massive Data

Prof. Dr. Volker Markl

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

Prof. Dr. Volker Markl

Publications

Clemens Lutz, Sebastian Breß, Steffen Zeuch, Tilmann Rabl, Volker Markl

In: David Maier, Rachel Pottinger (editor). Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data. ACM SIGMOD International Conference on Management of Data (SIGMOD-2020) June 14-19 Portland OR United States Pages 1633-1649 ISBN 978-1-4503-6735-6 The Association for Computing Machinery 2020.

To the publication
Behrouz Derakhshan, Alireza Rezaei Mahdiraji, Ziawasch Abedjan, Tilmann Rabl, Volker Markl

In: Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data. ACM SIGMOD International Conference on Management of Data (SIGMOD) New York, NY, USA SIGMOD ’20 ISBN 9781450367356 Association for Computing Machinery 2020.

To the publication

Profile

Personal Information

Volker Markl is both Chief Scientist and Head of the Intelligent Analytics for Massive Data Research Department at the German Research Center for Artificial Intelligence (DFKI). In addition, Dr. Markl is the director of the Berlin Institute for the Foundations of Learning and Data (BIFOLD), which was founded through the merger of the Berlin Big Data Center (BBDC) and the Berlin Center for Machine Learning (BZML). At the Technische Universität Berlin (TU Berlin) he is Full Professor and Chair of the Database Systems and Information Management Group (DIMA).

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.

CV

  • Since 2020 Director of the Berlin Institute for the Foundations of Learning and Data (BIFOLD)
  • 2018 – 2020  Co-Director of the Berlin Machine Learning Center (BZML)
  • Since 2018  Chief Scientist at the German Research Center for Artificial Intelligence (DFKI)
  • Since 2014  Head of the Intelligent Analytics for Massive Data Research Department at the German Research Center for Artificial Intelligence (DFKI)
  • 2014 – 2020  Director of the Berlin Big Data Center (BBDC)
  • Since 2008  Full Professor and Chair of the Database Systems and Information Management (DIMA) Group at the Technische Universität Berlin (TU Berlin)
  • 2001 – 2008  Project Leader at the IBM Almaden Research Center, San Jose, California, USA
  • 1997 – 2000  Research Group Leader at FORWISS, the Bavarian Research Center for Knowledge-based Systems, Munich, Germany

 

Entrepreneurial Activities (extract)

2014 – 2018 (exit)  Co-founder and Advisor, data Artisans, Berlin, Germany (Acquired by Alibaba)
2010 – 2016 (exit)  Advisor, Parstream, Cologne, Germany, 2010 – 2016 (Acquired by Cisco)

Professional Memberships (extract)

  • Elected President of the VLDB Endowment Inc. (VLDB / 2018 – 2021)
  • Co-lead, Technical Enablers and Data Science Working Group of the German Platform for Artificial Intelligence („Plattform Lernende Systeme“), 2018, acatech – DEUTSCHE AKADEMIE DER TECHNIKWISSENSCHAFTEN
  • Founding Member of the Big Data Value Association/Big Data Value PPP

Honors and Awards (extract)

  • EDBT Best Paper Award, 2019
  • 1st place in the BTW 2019 Data Science Challenge
  • EDBT Best Demonstration Award, 2019
  • ACM SIGMOD 2016 Research Highlight Award
  • Germany’s “Leading Digital Mind” (“Digitale Köpfe”) Award (2014)
  • VLDB Best Paper Award (2014)
  • Innovation Supporter Award, TU Berlin (2012)
  • Status-only Professorship Appointment, University of Toronto (2012)
  • Hewlett Packard Open Innovation Award (2009 + 2010)
  • Pat Goldberg Best Paper Award, IBM (2006)
  • Best Mentor Award, IBM (2005)
  • Outstanding Technological Achievement Award, IBM (2005)

Publications

207 publications (Citation h-index: 44) and 33 Keynote Lectures

Honors

  • 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.

Offices

  • Elected Trustee of the VLDB Endowment
  • Elected Secretary of the VLDB Endowment
  • Elected President of the VLDB Endowment
  • Founding Member of the Big Data Value Association/Big Data Value PPP

Projects

ExDRa


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...

BBDCII


Berliner Big Data Center

Goals

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...

BBDCII

SePiA.Pro


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...

SePiA.Pro

STREAMLINE


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...

STREAMLINE

PROTEUS


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...

PROTEUS

Portrait Photo

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz