Head of the Research Department Intelligent Analytics for Massive Data

Prof. Dr. Volker Markl

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

Publications

Adrian Bartnik, Bonaventura Del Monte, Tilmann Rabl, Volker Markl

In: Datenbanksysteme für Business, Technologie und Web (BTW 2019) Datenbanksysteme für Business, Technologie und Web (BTW 2019). GI-Fachtagungen Fachtagung für Datenbanksysteme für Business, Technologie und Web (BTW) March 4-8 Rostock Germany Gesellschaft für Informatik Bonn 2019.

To the publication
Dimitrios Giouroukis, Julius Hülsmann, Janis von Bleichert, Morgan Geldenhuys, Tim Stullich, Felipe Oliveira Gutierrez, Jonas Traub, Kaustubh Beedkar, Volker Markl

In: 21st International Conference on Extending Database Technology (EDBT). International Conference on Extending Database Technology (EDBT-2018) 21st March 26-29 Vienna Austria OpenProceedings 2019.

To the publication
Jonas Traub, Philipp Grulich, Alejandro Rodríguez Cuéllar, Sebastian Breß, Asterios Katsifodimos, Tilmann Rabl, Volker Markl

In: 22th International Conference on Extending Database Technology (EDBT). International Conference on Extending Database Technology (EDBT-2019) 22th March 26-29 Lisbon Portugal OpenProceedings 2019.

To the publication

Profile

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.

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.

Memberships

  • 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

Offices

Professional Memberships

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

Projects

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The Software Campus [1] backed LAPSE aims to develop a system architecture that mitigates communication costs for distributed machine learning.

Problem. Training machine learning (ML) models on a...

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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

ADAM


Approximative Analyse massiver Datenströme durch moderne Hardware

However, data stream analysis is usually performed in clusters consisting of standard server hardware. Analyzing more data in these systems means increasing the size of the cluster which, in turn,...

ADAM

FogGuro


FogGuro

Fog computing is emerging as a new paradigm for powering novel applications and services through the provisioning of a distributed computing infrastructure able to process data closer to users. Fog...

FogGuro

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

Portrait Photo

German Research Center for Artificial Intelligence
Deutsches Forschungszentrum für Künstliche Intelligenz