Lauritz Thamsen | HU & TU Berlin | ARM | diselab

I am currently a guest professor in the Department of Computer Science at HU Berlin, where I teach courses on Data-Intensive Systems, substituting for Ulf Leser, and I am a senior researcher at TU Berlin, where I drive the work on Adaptive Resource Management (ARM) in the research group on Distributed and Operating Systems (DOS) with a team of PhD students and lectured on Cloud Computing as well as Distributed Systems. Aside of this, I started the Distributed Systems Engineering Lab (diselab), an active and close collaboration between researchers from TU Berlin and Hasso Plattner Institute (HPI), and am involved in the collaborative research centers BIFOLD and FONDA, the interdisciplinary projects WaterGridSense, OPTIMA, and Telemed5000, the international teaching network ide3a, as well as the graduate school in Data Science HEIBRiDS.

Lauritz Thamsen

I got my PhD from TU Berlin, working on resource management for distributed dataflows in the BMBF-funded Berlin Big Data Center and the DFG Research Unit Stratosphere under Odej Kao. Prior to that, I was part of the Software Architecture Group of Robert Hirschfeld at HPI, the HPI Research School, and the HPI-Stanford Design Thinking Research Program. I also worked at SAP Labs in Palo Alto, California, in the Technology Infrastructure Practice group, under Dan Ingalls, and at Signavio in Berlin. Other past projects include research collaborations with Bundesdruckerei GmbH and Bedarra Research Labs.

My research is located at the intersection of distributed systems, information systems, and operating systems, where I am generally passionate about systems research and making computing more accessible. More specifically, my interests include resource management and scheduling, cloud and fog computing, scalable and fault-tolerant distributed systems, as well as data-intensive applications. Currently, I am looking into easy-to-use, yet efficient distributed data processing on diverse large cluster infrastructures and dependable data-intensive systems in context of the Internet of Things.


lauritz.thamsen at
+49 30 314 24539


TEL 1210
TU Berlin


twitter: lauritzthamsen
LinkedIn: lauritzthamsen


  • November 2021: We are doing a tutorial on Marvis, the approach to IoT testing we first presented at PerCom 2021, at the 19th International Conference on Service Oriented Computing (ICSOC 2021) on November 22. [Video Recording].
  • October 2021: This winter semester, I lecture on Data-Intensive Systems for master's students and supervise a semester project on Serverless Distributed Data Processing for bachelor's students at HU Berlin. Furthermore, my recorded lectures for the Cloud Computing module are once more finding use at TU Berlin.
  • September 2021: I was selected for a Lecturer position (research and teaching academic track) by an appointing committee of the University of Glasgow and will join the Glasgow Systems Section (GLASS) next Spring, right after my guest professorship at Humboldt University in the winter, to teach computer systems and continue the work on adaptive resource management for data-intensive systems.
  • August 2021: The program of our 1st International Workshop on Testing Distributed Internet of Things Systems (TDIS) is taking shape. We will have six paper presentations as well as two invited talks on October 4, the first day of IEEE IC2E 2021. Registrations for the fully virtual event are open via IC2E.
  • June 2021: I have been selected for a guest professorship at the department of Computer Science at Humboldt-Universit├Ąt zu Berlin, to substitute for Ulf Leser (who was granted a sabbatical as the speaker of the DFG Collaborative Research Center FONDA) and lecture on Data-Intensive Systems, in the coming winter term!
  • May 2021: In addition to the interdisciplinary and international ide3a course on Critical Infrastructure and Digitalization, I am teaching in two advanced Computer Science courses in the summer term at TU Berlin: a seminar on scalable and reliable systems and a master project on serverless edge computing.
  • April 2021: We have won the "Best WiP Paper" award at PerCom 2021 for our work on Marvis, one of the main projects in the diselab, aiming to make it easier to continuously test and develop dependable IoT systems.
  • March 2021: We are organizing a new lecture series in our ide3a-network in the upcoming summer semester: The lectures will discuss the digitalization of critical urban infrastructures such as transport systems, energy grids, water networks, and information technology and feature speakers from several infrastructure domains. Registration deadline is March 26!
  • March 2021: I am part of the team that organizes ICSOC 2021. Call for research and industry papers is already up!
  • February 2021: We are organizing a Workshop on Testing Distributed Internet of Things Systems (TDIS) at IEEE IC2E 2021. If your work is related, we would be very happy to receive your contribution to the workshop!
  • October 2020: In the winter semester, I will lecture on Virtual Resources and Distributed Cloud Applications again and also on Critical IoT Systems.
  • August 2020: I am helping to organize IEEE IC2E 2021 and it promises to be a good conference again, so if your work is related to Cloud Computing, consider submitting a paper. Deadline will be sometime in Spring 2021!
  • July 2020: We are part of FONDA, a new collaborative research center funded by the DFG. In the project, we will look at how adaptive resource management can make life easier for scientists, who have to work with clusters to analyze large scientific datasets.
  • June 2020: To strengthen the ongoing collaboration between the DOS group at TU Berlin and the OSM group at HPI, we founded the Distributed Systems Engineering Lab (diselab). In the lab, we come together to investigate new methods, systems, and tools for dependable distributed systems, specifically looking at IoT systems in context of critical urban infrastructures.
  • June 2020: We started to work on Adaptive Resource Management for Data-Intensive Applications (ARM) as a team of full-time researchers as well as student assistants in the Distributed and Operating Systems (DOS) group at TU Berlin.
  • March 2020: We are part of two new and exciting research projects starting this summer. In BIFOLD, we will continue to do systems research at the intersection of distributed systems, data management, and machine learning. In ide3a, we are creating a set of integrated courses around critical urban infrastructures, implementing elements of MOOCs and using new simulation tools, in a network of European universities.


  • Collaboration: If you are interested in working with me on adaptive resource management for data-intensive distributed systems, let me know.
  • Community service: I am available for scientific community service in the areas of resource management and scheduling, scalable and fault-tolerant distributed systems, cloud and fog computing, as well as distributed data processing.
  • Theses: We are always looking to work with motivated students. Have a look at the proposed topics, at our previous research results, and get in touch.