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Prof. Dr. Tilmann Rabl


University of Potsdam
Digital Engineering Fakultät - Hasso Plattner Institute

August-Bebel-Str. 88, D-14482 Potsdam

Prof. Dr. Tilmann Rabl


Fellow | BIFOLD

Professor | Hasso Plattner Institute, University of Potsdam

Tilmann Rabl holds the chair for Data Enineering Systems at the Hasso Plattner Institute and is Professor at the Digital Engineering Faculty of the University of Potsdam. He is also cofounder and scientific director of the startup bankmark. Tilmann Rabl received his PhD at the University of Passau in 2011. He spent 4 years at the University of Toronto as a postdoc in the Middleware Systems Research Group (MSRG). From 2015 to 2019, he was senior researcher and visiting professor at the Database Systems and Information Management (DIMA) group at Technische Universität Berlin and Vice Director of the Intelligent Analytics for Massive Data (IAM) Group at the German Research Center for Artificial Intelligence (DFKI).

2019 BTW Winner Data Science Challenge
2019 EDBT Best Paper Award
2017 EDBT Best Demo Award
2015 Weconomy Award
2015 IBM CAS Research 2015 Fellowship (Canada)
2014 IBM CAS Research 2014 Fellowship (Canada)
2014 IKT Innovativ Gründerpreis
2013 MITACS Elevate Postdoctoral Fellowship Award (Canada)
2013 IBM CAS Research 2013 Fellowship (Canada)
2013 EXIST Start-Up Award
2013 Runner-Up for Best Industry Paper Award, ICPE ’13
2012 SPEC Distinguished Dissertation Award – Honorable Mention
2012 Best DEBS Challenge Award – Public Voting, DEBS ’12
2011 Technical Contribution Award, TPC

  • Data Engineering
  • Big Data
  • Stream Processing
  • Databases
  • Benchmarking

  • ACM
  • GI

Bonaventura Del Monte, Steffen Zeuch, Tilmann Rabl, Volker Markl

Rethinking Stateful Stream Processing with RDMA

June 11 , 2022

Clemens Lutz, Sebastian Breß, Steffen Zeuch, Tilmann Rabl, Volker Markl

Triton Join: Efficiently Scaling the Operator State on GPUs with Fast Interconnects

June 11 , 2022

Behrouz Derakhshan, Alireza Rezaei Mahdiraji, Zoi Kaoudi, Tilmann Rabl, Volker Markl

Materialization and Reuse Optimizations for Production Data Science Pipelines

June 11 , 2022

Gábor E. Gévay, Tilmann Rabl, Sebastian Breß, Lorand Madai-Tahy, Jorge-Arnulfo Quiané-Ruiz, Volker Markl

Imperative or Functional Control Flow Handling: Why not the Best of Both Worlds?

June 01 , 2022

Patrick Damme, Marius Birkenbach, Constantinos Bitsakos, Matthias Boehm, Philippe Bonnet, Florina Ciorba, Mark Dokter, Pawel Dowgiallo, Ahmed Eleliemy, Christian Faerber, Georgios Goumas, Dirk Habich, Niclas Hedam, Marlies Hofer, Wenjun Huang, Kevin Innerebner, Vasileios Karakostas, Roman Kern, Tomaž Kosar, Alexander Krause, Daniel Krems, Andreas Laber, Wolfgang Lehner, Eric Mier, Marcus Paradies, Bernhard Peischl, Gabrielle Poerwawinata, Stratos Psomadakis, Tilmann Rabl, Piotr Ratuszniak, Pedro Silva, Nikolai Skuppin, Andreas Starzacher, Benjamin Steinwender, Ilin Tolovski, Pınar Tözün, Wojciech Ulatowski, Yuanyuan Wang, Izajasz Wrosz, Aleš Zamuda, Ce Zhang, Xiao Xiang Zhu

DAPHNE: An Open and Extensible System Infrastructure for Integrated Data Analysis Pipelines

January 09 , 2022

Data Management| Jul 01, 2020

TU Berlin master’s student wins 2nd place at the SIGMOD 2020 Student Research Competition

TU Berlin’s student Hendrik Makait reached the 2nd place at the ACM SIGMOD 2020 Student Research Competition at the 2020 ACM SIGMOD/PODS International Conference on the Management of Data with his paper “Rethinking Message Brokers on RDMA and NVM”. This is a joint work with the Data Engineering Systems Group at the Hasso Plattner Institute in Potsdam led by Prof. Rabl.