Philipp M. Grulich
Philipp M. Grulich
Doctoral Researcher
Philipp M. Grulich is a Research Associate at TU Berlin working at the intersection of stream processing systems, query compilation, modern hardware, and scalable data infrastructures. He is a maintainer of the NebulaStream data processing system, which provides efficient stream processing in highly distributed environments. He graduated with a M.Sc. in computer science in 2019 from TU-Berlin, specializing in big data analytics systems. During his master's, he spent two quarters as an exchange student at UC Santa Cruz and worked together with Prof. Nawab on Collaborative Data Processing in fog infrastructures. Furthermore, He received a B.Sc. degree at Hamburg University of Applied Sciences.
- EDBT 2019 Best Paper Award
- EDBT 2017 Best Demo Award
- Software Campus Project Fencing
- Stream Processing Systems
- Query Compilation
- Modern Hardware
- ACM
Dwi P. A. Nugroho, Philipp M. Grulich, Steffen Zeuch, Clemens Lutz, Stefano Bortoli, Volker Markl
Benchmarking Stream Join Algorithms on GPUs: A Framework and Its Application to the State of the Art
Ariane Ziehn, Philipp M. Grulich, Steffen Zeuch, Volker Markl
Bridging the Gap: Complex Event Processing on Stream Processing Engines
Philipp M. Grulich, Steffen Zeuch and Volker Markl
Towards Efficient and Secure UDF Execution with BabelfishLib (Lightning Talk)
Lepping, Aljoscha; Pham, Hoang Mi; Mons, Laura; Rueb, Balint; Grulich, Philipp M.; Chaudhary, Ankit; Zeuch, Steffen; Markl, Volker
Showcasing Data Management Challenges for Future IoT Applications with NebulaStream
Nils Schubert, Philipp M Grulich, Steffen Zeuch, Volker Markl
Exploiting Access Pattern Characteristics for Join Reordering
EDBT conference 2024
The EDBT conference 2024 took place from March 25 to 28. BIFOLD researchers presented three papers at this Core-A conference on databases: "Benchmarking Stream Join Algorithms on GPUs: A Framework and its Application to the State of the Art", "Bridging the Gap: Complex Event Processing on Stream Processing Engines", and “Evaluation of Sampling Methods for Discovering Facts from Knowledge Graph Embeddings”.
VLDB honors NebulaStream demo
A perfect conclusion for the BIFOLD team at VLDB 2023 in Vancouver: The Nebula Stream team received an honorable mention for the best demo. In total, eleven researchers from the team of BIFOLD director Volker Markl participated in VLDB 2023 in Vancouver, one of the most important database conferences worldwide.
Newest work on the Nebulastream system by database systems researchers of TU Berlin and DFKI will be presented at VLIoT 2020
The Paper “NebulaStream: Complex Analytics Beyond the Cloud” by Steffen Zeuch et al. was accepted for presentation at the 2020 International Workshop on Very Large Internet of Things (VLIoT 2020). VLIoT 2020 will take place in conjunction with the VLDB 2020 conference.
In this paper, the NebulaStream (NES) project team in DFKI’s IAM group and TU Berlin’s DIMA group shows why there is a need for a new End-to-End data processing systems for the Internet of Things (IoT).
Three papers presented at EDBT 2020
Researchers in TU Berlin’s Database Systems and Information Management (DIMA) Group and DFKI’s Intelligent Analytics for Massive Data (IAM) Group presented three systems papers at EDBT 2020, the 23rd International Conference on Extending Database Technology, held from March 30 to April 2. Originally planned to take place in Copenhagen, Denmark, this year’s EDBT conference was held online instead.
Four papers authored by TU Berlin and DFKI researchers have been accepted at SIGMOD 2020
Data management systems researchers in the Database Systems and Information Management (DIMA) Group at TU Berlin and the Intelligent Analytics for Massive Data (IAM) Group at DFKI (the German Research Institute for Artificial Intelligence) were informed that their papers have been accepted at the 2020 ACM SIGMOD/PODS International Conference on the Management of Data.