Steffen Zeuch

Post-Doc at TU Berlin working with Prof. Volker Markl, IAM, and DIMA, as well as Junior Research Group Lead in BIFOLD.

Former Researcher at German Research Center for Artificial Intelligence (DFKI) and former Ph.D. student of Prof. (emeritus) Johann-Christoph Freytag, Ph.D. in the DBIS group at Humboldt University zu Berlin.

Research Areas

Query processing, in-memory databases, index structures, distributed streaming systems, modern and heterogeneous hardware architectures, database and compiler interaction, performance optimization, IoT analytics, IoT for ML, ML for IoT.

Current Research Questions

How can streaming systems exploit the capabilities of modern hardware more efficiently?

How can we perform efficient data analytics on future IoT infrastructures, where we face a highly dynamic, volatile, heterogeneous, and geo-distributed execution environments?

How do we have to change concepts and algorithms in application domains like machine learning, data science, complex-event processing, transactional processing, signal processing, or privacy-preserving and secure processing to cope with the challenges of IoT and exploit their capabilities?

Address

Technische Universität Berlin
Straße des 17. Juni, 135
10623 Berlin, Germany

e-mail

steffen.zeuch@tu-berlin.de

Work Experience

Since January 2023 - Junior Research Group Lead in BIFOLD
Since July 2019 - DIMA TU Berlin, Senior Researcher
July 2017 - January 2023 - DFKI Berlin, Senior Researcher
Sep 2016 - June 2017 - SAP AG, Berlin Software Development (Security Team)

Development for SAP HANA - Design and development of authentication and cryptographic algorithms.

May 2013 - August 2013 - IBM Research Almaden, San Jose

Development for InfoScout team - Design and development of the InfoScout prototype.

February 2011 - September 2011 -Internship SAP AG, Berlin

Development for SAP HANA - Design and development of a data structure that is optimized for data with infrequent access patterns.

May 2009 - January 2011 - Working student at SAP, Berlin

Performance testing for HANA DB persistence layer - Development of tests and test evaluation. Design, implementation and administration of a benchmark framework.

September 2008 - February 2009 - Internship SAP AG, Berlin

Accelerate infrastructure deployment process - Automatization of the deployment process for a test environments, including virtualization of OS, installation and configuration of an SAP system.

Education

October 2011 - August 2016 - Ph.D. Student Computer Science in the Databases and Information Systems Group
September 2009 - September 2011 - HTW Berlin - University of Applied Sciences, Master of Science in Business Informatics
September 2006 - August 2009 - HTW Berlin - University of Applied Sciences, Bachelor of Science in Business Informatics

Selected Papers

8: "The NebulaStream Platform: Data and Application Management for the Internet of Things": Steffen Zeuch, Ankit Chaudhary, Bonaventura Del Monte, Haralampos Gavriilidis, Dimitrios Giouroukis, Philipp M. Grulich, Sebastian Breß, Jonas Traub, Volker Markl. CIDR 2020.
7: "Pump Up the Volume: Processing Large Data on GPUs with Fast Interconnects": Clemens Lutz, Sebastian Breß, Steffen Zeuch, Tilmann Rabl, Volker Markl. SIGMOD 2020 (Best Paper Award).
6: "Analyzing Efficient Stream Processing on Modern Hardware": Steffen Zeuch, Sebastian Breß, Tilmann Rabl, Bonaventura Del Monte, Jeyhun Karimov, Clemens Lutz, Manuel Renz, Jonas Traub, Volker Markl. PVLDB 12(5): 516-530 (2019).
5: "Generating custom code for efficient query execution on heterogeneous processors": Sebastian Breß, Bastian Köcher, Henning Funke, Steffen Zeuch, Tilmann Rabl, Volker Markl. VLDB J. 27(6): 797-822 (2018).
4: "Non-Invasive Progressive Optimization for In-Memory Databases": S. Zeuch, H. Pirk, J.C. Freytag. PVLDB 9(14):(2016).
3: "Selection on Modern CPUs": S. Zeuch, J.C. Freytag. IMDM 2015.
2: "QTM: Modelling Query Execution with Tasks": S. Zeuch, J.C. Freytag. ADMS 2014..
1: "Adapting Tree Structures for Processing with SIMD Instructions": S. Zeuch, F. Huber, J.C. Freytag. EDBT 2014.

Full list on DBLP or DBLP.

Theses & Teaching

Selected Theses Supervision

Lorenzo Julian Toso: Efficient join operators on heterogeneous systems using RDMA and coprocessors. Master Thesis, TU Berlin, Germany, 2019.
Tobias Behrens: Energy Efficient Analytical Data Processing on ARM Architecture. Master Thesis, TU Berlin, Germany, 2019.
Haralampos Gavriilidis: Efficient Data Exchange between Data Processing Frameworks. Master Thesis, TU Berlin, Germany, 2019.
Phillip Grulich: Compiler Optimizations for Stream Processing Systems on Managed Languages. Master Thesis, TU Berlin, Germany, 2019.
Adrian Michalke: Out-of-Core GPU-accelerated Query Processing with Unified Memory. Bachelor Thesis, TU Berlin, Germany, 2018.
Janis von Bleichert: Code Generation for Stream Processing Systems. Master Thesis, TU Berlin, Germany, 2018.
Daniel Lunow: The Effect of Prefetching in Modern CPUs. Seminar Paper, Humboldt University Berlin, Germany, 2016.
Taras Iks: Konzept und Implementierung eines QTM-DLB auf Basis von PostgreSQL. Seminar Paper, Humboldt University Berlin, Germany, 2016.
Dennis Schneider: Kostenschätzung in verteilten Datenverarbeitungssystemen. Master Thesis, Humboldt University Berlin, Germany, 2015.
Tino Schernickau : Ein adaptiver Index für verteilte, strukturierte Laufzeitstatistiken. Master Thesis, Humboldt University Berlin, Germany, 2015.
Robert Przewozny: Erweiterung von Datenflussprogrammen um Operatoren zur Statistiksammlung. Diploma Thesis, Humboldt University Berlin, Germany, 2014.

Selected Teaching

Data Management on Modern Hardware, Master Course.
Database Technology, Master Course.
BDAPRO: Big Data Analytics Project, Semester project.
BDAPRO: Big Data Analytics Project, Semester project.
DBSEM: Foundation of Database Systems, Seminar.
Grundlagen von Datenbanksystemen (DBS I), Tutorial.
Kompaktvorlesung: Einführung in C, Tutorial.
Neue Konzepte und Techniken für Datenbanksysteme, Tutorial.
Implementierung von Datenbanken (DBS II), Tutorial.