Head of the Research Department Intelligent Analytics for Massive Data
Prof. Dr. Volker Markl
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Contact
Phone (Berlin): +49 30 23895 1850
Volker.Markl@dfki.de
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Address
(Berlin)
DFKI Labor Berlin - Hauptgebäude
Alt-Moabit 91c
D-10559 Berlin
Publications
Profile
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.
- 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…
Portrait photo
