I’m a research associate and 4th year PhD student at TU Berlin in the Distributed and Operating Systems (DOS) group by Prof. Odej Kao.
Before that, I’ve worked as a Software and Data Engineer at different companies in Berlin.
My research focus is on carbon-aware computing: Aligning the power consumption of computing systems with the availability of renewable energy.
Besides that, I’m interested in systems for machine learning and the co-simulation of computing and energy systems.
Find me on
Google Scholar
,
GitHub
,
LinkedIn
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Twitter
or contact me at wiesner at tu-berlin.de
Selected Publications- Vessim: A Testbed for Carbon-Aware Applications and Systems
Philipp Wiesner, Ilja Behnke, Paul Kilian, Marvin Steinke, and Odej Kao
3rd Workshop on Sustainable Computer Systems (HotCarbon).
ACM.
2024.
Workshop
preprint
code
video
BIFOLD news - FedZero: Leveraging Renewable Excess Energy in Federated Learning
Philipp Wiesner, Ramin Khalili, Dennis Grinwald, Pratik Agrawal, Lauritz Thamsen, and Odej Kao
15th ACM International Conference on Future and Sustainable Energy Systems (e-Energy).
ACM.
2024.
Conference
preprint
code
video
BIFOLD news - Let's Wait Awhile: How Temporal Workload Shifting Can Reduce Carbon Emissions in the Cloud
Philipp Wiesner, Ilja Behnke, Dominik Scheinert, Kordian Gontarska, and Lauritz Thamsen
22nd ACM/IFIP International Middleware Conference (Middleware).
ACM.
2021.
Conference
preprint
code
video
BIFOLD news; TU Berlin press release; New Scientist article; hackernews frontpage