Philipp Marian Grulich | Technische Universität Berlin | German Research Center for Artificial Intelligence (DFKI)

Researcher at Technische Universität Berlin working with Volker Markl at DIMA and IAM.

I am a Research Associate at TU Berlin working on stream processing systems, modern hardware, fog-computing, big-data systems, and scalable data infrastructures. Prior to that, I graduated with a M.Sc. in computer science in March 2019 from TU-Berlin, specializing in big data analytics systems. During my masters, I spend two quarters as an exchange student at UC Santa Cruz and worked together with Faisal Nawab on Collaborative Data Processing in fog infrastructures. In my Master's thesis, I worked on query compilation for stream processing to fully utilize modern hardware. I received my B.Sc. degree at Hamburg University of Applied Sciences.

Address

Technische Universität Berlin
- Room EN 708 -
Fak. IV, FG DIMA, Sekr. EN7
Einsteinufer 17, 10587 Berlin, Germany

e-mail

lastname@tu-berlin.de

Github

philippgrulich

Publications:

VLDB 2022 PDF: Babelfish: Efficient Execution of Polyglot Queries
Philipp Marian Grulich, Steffen Zeuch, Volker Markl (VLDB), 2022.
DAMON 2021 PDF: An Energy-Efficient Stream Join for the Internet of Things
Adrian Michalke, Philipp Marian Grulich, Clemens Lutz, Steffen Zeuch, Volker Markl (DAMON), 2021.
Sigmod 2021 PDF: ExDRa: Exploratory Data Science on Federated Raw Data
Sebastian Baunsgaard, Matthias Boehm, Ankit Chaudhary, Behrouz Derakhshan, Stefan Geißelsöder, Philipp Marian Grulich, Michael Hildebrand, Kevin Innerebner, Volker Markl, Claus Neubauer, Sarah Osterburg, Olga Ovcharenko, Sergey Redyuk, Tobias Rieger, Alireza Rezaei Mahdiraji, Sebastian Benjamin Wrede, Steffen Zeuch (Sigmod), 2021.
Sigmod 2021 PDF: Parallelizing Intra-Window Join on Multicores: An Experimental Study
Shuhao Zhang, Yancan Mao, Jiong He, Philipp M Grulich, Steffen Zeuch, Bingsheng He, Richard TB Ma, Volker Markl (Sigmod), 2021.
VLIoT 2020 PDF: NebulaStream: Complex Analytics Beyond the Cloud
Steffen Zeuch, Eleni Tzirita Zacharatou, Shuhao Zhang, Xenofon Chatziliadis, Ankit Chaudhary, Bonaventura Del Monte, Dimitrios Giouroukis, Philipp M. Grulich, Ariane Ziehn, Volker Markl (VLIoT), 2020.
Sigmod 2020 PDF: Grizzly: Efficient Stream Processing Through Adaptive Query Compilation
Philipp M. Grulich, Sebastian Breß, Steffen Zeuch, Jonas Traub, Janis von Bleichert, Zongxiong Chen, Tilmann Rabl, Volker Markl (Sigmod), 2020.
EDBT 2020: Disco: Efficient Distributed Window Aggregation
Lawrence Benson, Philipp M. Grulich, Steffen Zeuch, Volker Markl and Tilmann Rabl. International Conference on Extending Database Technology (EDBT), 2020.
CIDR 2020 PDF: 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. Conference on Innovative Data Systems Research (CIDR), 2020. [BibTeX]
DEBS 2019 Git PDF: Generating Reproducible Out-of-Order Data Streams
Philipp M. Grulich, Jonas Traub, Asterios Katsifodimos, Sebastian Breß, Tilmann Rabl, Volker Markl. ACM International Conference on Distributed and Event-based Systems (DEBS), 2019. [BibTeX]
EDBT 2019 Git PDF: Efficient Window Aggregation with General Stream Slicing
Jonas Traub, Philipp M. Grulich, Alejandro Rodríguez Cuéllar, Sebastian Breß, Asterios Katsifodimos, Tilmann Rabl, Volker Markl. In International Conference on Extending Database Technology (EDBT), 2019. [BibTeX]
VLDB 2018 PDF: Collaborative Edge and Cloud Neural Networks for Real-Time Video Processing
Philipp M. Grulich, Faisal Nawab. Proceedings of the VLDB Endowment (PVLDB), 2018. [BibTeX]
ICDE 2018 Git PDF: Scotty: Efficient Window Aggregation for out-of-order Stream Processing
Jonas Traub, Philipp M. Grulich, Alejandro Rodríguez Cuellar, Sebastian Breß, Asterios Katsifodimos, Tilmann Rabl, Volker Markl. IEEE International Conference on Data Engineering (ICDE), 2018. [BibTeX]
EDBT 2018 Git PDF: Scalable Detection of Concept Drifts on Data Streams with Parallel Adaptive Windowing
Philipp M. Grulich, René Saitenmacher, Jonas Traub, Sebastian Breß, Tilmann Rabl, Volker Markl. In International Conference on Extending Database Technology (EDBT), 2018. [BibTeX]
EDBT 2017 Git PDF: I²: Interactive Real-Time Visualization for Streaming Data
Jonas Traub, Nikolaas Steenbergen, Philipp M. Grulich, Tilmann Rabl, and Volker Markl. Proceedings of the 20th International Conference on Extending Database Technology (EDBT'17), March 21-24, 2017, Venice, Italy. [BibTeX]

Talks / Miscellaneous

FlinkForward 2018 Slides Rec: Talk - Efficient Window Aggregation with Stream Slicing
Jonas Traub, Philipp M. Grulich.
FlinkForward, Berlin, 2018. [BibTeX]
FlinkForward 2017 Slides Rec: Talk - I²: Interactive Real-Time Visualization for Streaming Data with Apache Flink and Apache Zeppelin
Jonas Traub, Philipp M. Grulich. FlinkForward, Berlin, 2017. [BibTeX]

Theses & Teaching

Thesis Supervision

Johannes Russ: Illuminate the Black Box - Efficient Embedding of User-Defined Functions
Lawrence Benson: Efficient Distributed In-Network Window Aggregation
Batuhan Tüter: Evaluating Window Aggregation Techniques on Stream Processing Engines
Juliane Verwiebe: A Catalog of Window Types for Stream Processing Systems
Andrej Savinov: Enabling Unified Efficient Window Aggregation on Open Source Stream Processing Engines
Ankush Sharma: Fault Tolerant Distributed Window Aggregations For Internet of Things
Hoang Mi Pham: Efficient support for Data Science Workflow in Nebula Stream

Teaching