Dr. Lauritz Thamsen | Uni of Glasgow | Systems Section
I am a Lecturer / Asst. Prof. (Research and Teaching track) in the School of Computing Science at University of Glasgow, where I work on resource-efficient distributed computing in the Glasgow Systems Section (GLASS) and Glasgow Parallelism Group (GPG), focusing on resource management and data-intensive applications. Previously, I was a guest professor in the Department of Computer Science at HU Berlin, where I lectured on Data-Intensive Systems, and a senior researcher at TU Berlin, where I drove the work on Adaptive Resource Management (ARM) in the research group on Distributed and Operating Systems (DOS) and lectured on Cloud Computing as well as Distributed Systems. Additionally, I started the Distributed Systems Engineering Laboratory (diselab), a collaborative research effort with researchers from TU Berlin and Hasso Plattner Institute (HPI).
My research is located at the intersection of distributed systems, database systems, and operating systems, where I am generally passionate about systems research and making computing more accessible and sustainable. Overall, my research interests include resource management and scheduling, scalable and reliable data processing, edge and cloud computing, and software development tools. Currently, I am focusing on easy-to-use, yet resource-efficient and resilient data-intensive systems that run on clusters of edge/cloud resources.
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 and the Research School at HPI. I also worked at SAP Labs in Palo Alto, California, in the Technology Infrastructure Practice group, under Dan Ingalls, and at Signavio in Berlin.
contact
lauritz.thamsen at glasgow.ac.uk+44 141 330 2000 (x0652)
office
Room S152Sir Alwyn Williams Bldg
news
- May 2022: I am looking for a PhD student to join me in Glasgow, where I recently started on a permanent academic post, to set up a new lab on Resource-Efficient Distributed Computing (ReDisco) in the Systems Section of the School of Computing Science. As new and early-career faculty I am currently receiving priority for one of the School of Computing Science studentships. If you are interested in doing your PhD in Computing Science with me at the University of Glasgow, please get in touch ahead of the next application deadline (July 31, 2022)!
- April 2022: We are organizing our International Workshop on Testing Distributed Internet of Things Systems (TDIS) again with IEEE IC2E this year. If your work involves testing, simulation, or modeling of software systems for edge-cloud infrastructures (or other emerging distributed compute architectures of the IoT), we will be super happy about your contribution to our workshop and do have a great PC ready to review submitted papers.
- March 2022: I started as a new Lecturer in the School of Computing Science at University of Glasgow and am looking for research students as well as collaborations in the area of resource-efficient and resilient distributed computer systems.
- February 2022: I successfully wrapped up my guest professorship at HU Berlin, where I was substituting for Ulf Leser in the Department of Computer Science and in context of the DFG-funded Collaborative Research Center FONDA, teaching two new courses on Data-Intensive Systems / Data Engineering.
- January 2022: We are calling for workshops and tutorials for IEEE IC2E 2022, which will take place in Northern California from September 27 to 30. If your work is related to cloud computing, consider submitting a workshop or a tutorial proposal.
collaborations
- Academic and industry collaborations: If you are interested in making distributed computing more accessible and sustainable with me, let me know.
- Student and project supervision: I am always looking to work with motivated research students. Please have a look here and get in touch.
- Community service: I am available for scientific community service in areas such as resource management and scheduling, edge and cloud computing, low-carbon and sustainable computing, as well as distributed data processing.