Prof. Dr. Volker Markl

• 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)

• ICDE 2021 Best Paper Award
• BTW 2021 Best Paper Award
• ACM SIGMOD 2020 Best Paper Award
• 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

• BTW 2021 Best Paper Award for the Paper “Fast CSV Loading Using GPUs and RDMA for In-Memory Data Processing”
• ICDE 2021 Best Paper Award for the Paper “Efficient Control Flow in Dataflow Systems: When Ease-of-Use Meets High Performance”
• EDBT SIGMOD 2020 Best Paper Award for the Paper “Pump up the Volume: Processing Large Data on GPUs with Fast Interconnects”
• EDBT 2020 Best Paper Award for the Paper “Pump up the Volume: Processing Large Data on GPUs with Fast Interconnects”
• EDBT 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.

• Scientific Advisory Board of Software AG
• Academic Advisory Council of Alexander von Humboldt Institute for Internet and Society’s (HIIG)
• Gesellschaft für Informatik (GI), FG Datenbanken
• ACM
• ACM SIGMOD
• IEEE Computer Society
• 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

• 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

• 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…

  

• 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…

  

• 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…

  

• 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…