STREAMLINE - Streamlined Analysis of Data at Rest and Data in Motion. - Philipp M. Grulich; Tilmann Rabl; Volker Markl; Csaba István Sidló; András A. Benczúr (EDBT/ICDT Workshops, 2017)

I2: Interactive Real-Time Visualization for Streaming Data. - Jonas Traub; Nikolaas Steenbergen; Philipp M. Grulich; Tilmann Rabl; Volker Markl (EDBT, 2017)

Smart Stream-Based Car Information Systems that Scale: An Experimental Evaluation. - Philipp M. Grulich; Olaf Zukunft (iThings/GreenCom/CPSCom/SmartData, 2017)

Bringing Big Data into the Car: Does it Scale? - Philipp M. Grulich; Olaf Zukunft (Innovate-Data, 2017)

Scalable real-time processing with Spark Streaming: implementation and design of a Car Information System. - Philipp M. Grulich (CoRR, 2017)

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 (EDBT, 2018)

Scotty: Efficient Window Aggregation for Out-of-Order Stream Processing. - Jonas Traub; Philipp Marian Grulich; Alejandro Rodriguez Cuellar; Sebastian Breß; Asterios Katsifodimos; Tilmann Rabl; Volker Markl (ICDE, 2018)

Collaborative Edge and Cloud Neural Networks for Real-Time Video Processing. - Philipp M. Grulich; Faisal Nawab (Proc. VLDB Endow., 2018)

Generating Reproducible Out-of-Order Data Streams. - Philipp M. Grulich; Jonas Traub; Sebastian Breß; Asterios Katsifodimos; Volker Markl; Tilmann Rabl (DEBS, 2019)

Efficient Window Aggregation with General Stream Slicing. - Jonas Traub; Philipp M. Grulich; Alejandro Rodriguez Cuellar; Sebastian Breß; Asterios Katsifodimos; Tilmann Rabl; Volker Markl (EDBT, 2019)

The NebulaStream Platform for Data and Application Management in 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)

Disco: Efficient Distributed Window Aggregation. - Lawrence Benson; Philipp M. Grulich; Steffen Zeuch; Volker Markl; Tilmann Rabl (EDBT, 2020)

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 Conference, 2020)

NebulaStream: Complex Analytics Beyond the Cloud. - Steffen Zeuch; Eleni Tzirita Zacharatou; Shuhao Zhang 001; Xenofon Chatziliadis; Ankit Chaudhary; Bonaventura Del Monte; Dimitrios Giouroukis; Philipp M. Grulich; Ariane Ziehn; Volker Markl (Open J. Internet Things, 2020)

An Energy-Efficient Stream Join for the Internet of Things. - Adrian Michalke; Philipp M. Grulich; Clemens Lutz; Steffen Zeuch; Volker Markl (DaMoN, 2021)

Parallelizing Intra-Window Join on Multicores: An Experimental Study. - Shuhao Zhang 001; Yancan Mao; Jiong He; Philipp M. Grulich; Steffen Zeuch; Bingsheng He; Richard T. B. Ma; Volker Markl (SIGMOD Conference, 2021)

ExDRa: Exploratory Data Science on Federated Raw Data. - Sebastian Baunsgaard; Matthias Boehm 001; Ankit Chaudhary; Behrouz Derakhshan; Stefan Geißelsöder; Philipp M. Grulich; Michael Hildebrand; Kevin Innerebner; Volker Markl; Claus Neubauer; Sarah Osterburg; Olga Ovcharenko; et al. (SIGMOD Conference, 2021)

Babelfish: Efficient Execution of Polyglot Queries. - Philipp Marian Grulich; Steffen Zeuch; Volker Markl (Proc. VLDB Endow., 2021)

Scotty: General and Efficient Open-source Window Aggregation for Stream Processing Systems. - Jonas Traub; Philipp Marian Grulich; Alejandro Rodriguez Cuellar; Sebastian Breß; Asterios Katsifodimos; Tilmann Rabl; Volker Markl (ACM Trans. Database Syst., 2021)

Algorithms for Windowed Aggregations and Joins on Distributed Stream Processing Systems. - Juliane Verwiebe; Philipp M. Grulich; Jonas Traub; Volker Markl (Datenbank-Spektrum, 2022)

NebulaStream: Data Management for the Internet of Things. - Steffen Zeuch; Xenofon Chatziliadis; Ankit Chaudhary; Dimitrios Giouroukis; Philipp M. Grulich; Dwi Prasetyo Adi Nugroho; Ariane Ziehn; Volker Markl (Datenbank-Spektrum, 2022)

Towards Unifying Query Interpretation and Compilation. - Philipp M. Grulich; Aljoscha P. Lepping; Dwi Prasetyo Adi Nugroho; Varun Pandey; Bonaventura Del Monte; Steffen Zeuch; Volker Markl (CIDR, 2023)

Exploiting Access Pattern Characteristics for Join Reordering. - Nils L. Schubert; Philipp M. Grulich; Steffen Zeuch; Volker Markl (DaMoN, 2023)

Towards Efficient and Secure UDF Execution with BabelfishLib (Lightning Talk). - Philipp M. Grulich; Steffen Zeuch; Volker Markl (VLDB Workshops, 2023)

Showcasing Data Management Challenges for Future IoT Applications with NebulaStream. - Aljoscha P. Lepping; Hoang Mi Pham; Laura Mons; Balint Rueb; Philipp M. Grulich; Ankit Chaudhary; Steffen Zeuch; Volker Markl (Proc. VLDB Endow., 2023)

Query compilation for modern data processing environments. - Philipp Marian Grulich (2023)

Survey of window types for aggregation in stream processing systems. - Juliane Verwiebe; Philipp M. Grulich; Jonas Traub; Volker Markl (VLDB J., 2023)

Benchmarking Stream Join Algorithms on GPUs: A Framework and its Application to the State-of-the-art. - Dwi P. A. Nugroho; Philipp M. Grulich; Steffen Zeuch; Clemens Lutz; Stefano Bortoli; Volker Markl (EDBT, 2024)

Bridging the Gap: Complex Event Processing on Stream Processing Systems. - Ariane Ziehn; Philipp M. Grulich; Steffen Zeuch; Volker Markl (EDBT, 2024)

Query Compilation Without Regrets. - Philipp M. Grulich; Aljoscha P. Lepping; Dwi P. A. Nugroho; Varun Pandey; Bonaventura Del Monte; Steffen Zeuch; Volker Markl (Proc. ACM Manag. Data, 2024)

Correction to: Survey of window types for aggregation in stream processing systems. - Juliane Verwiebe; Philipp M. Grulich; Jonas Traub; Volker Markl (VLDB J., 2024)