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Prof. Dr. Volker Markl

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Technische Universität Berlin
Fachgebiet Datenbanksysteme und Informationsmanagement (DIMA)

Einsteinufer 17, D-10587 Berlin
https://www.dima.tu-berlin.de

Prof. Dr. Volker Markl

Prof. Dr. Volker Markl

Director | BIFOLD

Research Group Lead | BIFOLD

Full Professor and Chair | Database Systems and Information Management (DIMA) Group at Technische Universität Berlin

Chief Scientist and Head | Intelligent Analytics for Massive Data (IAM) Research Group at the German Research Center for Artificial Intelligence (DFKI)

Co-Lead | Technical Enablers and Data Science Working Group of the German Platform for Artificial Intelligence („Plattform Lernende Systeme“), 2018.

Speaker | Forum Digital Technologies

Volker Markl is a German computer scientist, database systems researcher, and a full professor. He leads the Chair of Database Systems and Information Management and is Director of the Berlin Institute for the Foundations of Learning and Data at the Technische Universität Berlin. He is also Chief Scientist and Head of the Intelligent Analytics for Massive Data Research Group at the German Research Center for Artificial Intelligence in Berlin. He has served as the President of the VLDB Endowment and has held an adjunct professorship at the University of Toronto. He currenty serves on the academic advisory council to the Alexander von Humboldt Institute for Internet and Society as well as the scientific advisory board to Software AG. Additionally, he co-chairs the Technological Enablers and Data Science Interdisciplinary Working Group of the ‘Plattform Lernende Systeme,‘ a platform of leading experts who are developing a roadmap for the responsible use of self-learning systems and AI, sponsored by BMBF, the German Federal Ministry of Education and Research. He is a strong proponent of data literacy, systems-oriented research, and computer science education in general.

Volker’s research interests lie at the intersection of distributed systems, scalable data processing, and machine learning. He has published over 200 research papers at world-class scientific venues, and served as an editor for ten academic journals. He has given over 250 presentations in numerous industrial settings, research institutions, and major conferences worldwide, including keynotes at premier scientific venues, such as VLDB, ICDE, and DEBS. In 1999, he earned his PhD in Computer Science under the direction of Prof. Rudolf Bayer at the Technische Universität München.

Over the years, Volker has received numerous honors and awards. He was recognized as ACM Fellow for his contributions to query optimization, scalable data processing, and data programmability. He is a member of the Berlin-Brandenburg Academy of Sciences. In 2014, he was elected one of Germany’s leading “Digital Minds“ (Digitale Köpfe) by the German Informatics Society. Additionally, his achievements have been recognized by the European Union and industry. In particular, he received a European Information Society and Technologies Prize by the European Commission, the Trusted Cloud Award by the German Ministry of the Economy, an IBM Outstanding Technological Achievement Award, an IBM Faculty Award, and several Hewlett Packard Open Innovation Awards. Moreover, his research has received numerous recognitions, including Best Paper Awards at VLDB, SIGMOD, ICDE, and EDBT as well as two ACM SIGMOD Research Highlight Awards.

Volker has a well-established track record of innovation and technology transfer. His inventions have resulted in the awarding of eighteen patents. His doctoral research led to the development of the UB-Tree multidimensional indexing technology, which was transferred to Transaction Software, a German SME company, and garnered him a European IST Prize. For creating information marketplaces, he earned the Trusted Cloud Award from BMWi, the German Federal Ministry for Economic Affairs and Energy. Furthermore, many of his technological ideas were transferred into IBM commercial products, during the period he was industrial researcher at the IBM Almaden Research Center. Moreover, for supporting entrepreneurially-minded students and helping them to acquire seed funding, he was awarded an Innovation Supporter Award by TU Berlin.

From 2010 through 2019, Volker led the DFG funded Stratosphere project, which led to the establishment of Apache Flink, an open-source big data analytics system, and earned him a Humboldt Innovation Award. With a community of over 26,000 members and over 1000 code contributors, Flink is recognized as a highly flexible, scalable, and extensible processing framework for data streams that incorporates novel methods for fault tolerance. He has been co-founder, advisor, and mentor to several successful startups, including dataArtisans, Parstream, and Aklamio. In addition, he advises and collaborates with several IT companies, including IBM, SAP, Microsoft, Deutsche Telekom, HP, Oracle, Amazon, Huawei, Zalando, as well as many SMEs. Furthermore, he serves as an advisor to the German Federal Government and the European Union on Big Data and AI.

  • 2021 ICDE 2021 Best Paper Award
  • 2021 BTW 2021 Best Paper Award
  • 2020 ACM SIGMOD 2020 Best Paper Award
  • 2019 EDBT 2019 Best Paper Award
  • 2017 BTW 2017 Best Paper Award
  • 2017 EDBT 2017 Best Demonstration Award/li>
  • 2014 Germany´s “Leading Digital Mind” (“Digitale Köpfe”) Award
  • 2014 VLDB Best Paper award
  • 2012 IBM Faculty Award, a Trusted-Cloud Award for Information Marketplaces by the German Ministry of Economics and Technology
  • 2012 IBM Shared University Research Grant
  • 2010 HP Open Innovation Award
  • 2005 IBM Outstanding Technological Achievement Award
  • 2005 Pat Goldberg Memorial Best Paper Award
  • 2001 – 2006 Seventeen Invention Achievement Awards, IBM
  • 2001 – 2006 Four Invention-Plateau Awards, IBM
  • 2001 Best Mentor Award, IBM
  • 2001 European Information Society and Technology Prize

  • 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
  • Scalable data science, including graph mining, text mining, and machine learning

  • Berlin-Brandenburg Academy of Sciences and Humanities
  • 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 Fellow
  • SIGMOD
  • Autonomic Task Force within the IEEE Computer Society
  • Trustee Emeriti of the VLDB Endowment
  • Founding Member of the Big Data Value Association/Big Data Value PPP