EASL
Efficient Architectures and Systems Lab (EASL)
We design and build computer systems for large-scale applications, such as cloud computing services, data analytics, and machine learning. We aim to improve the performance and resource efficiency of cloud computing while making it easier for users to deploy and manage their applications. Our research work spans operating systems, computer architecture, and their intersection with machine learning.
Research Focus Areas
EASL Group Members:
Faculty:
PhD Students:
- Tom Kuchler
- Lazar Cvetković
- external pageFoteini Straticall_made
- external pageMaximilian Böthercall_made
- external pageXiaozhe Yaocall_made
- external pageMihajlo Djokiccall_made
- external pageDan Graurcall_made (primary advisor: Prof. Gustavo Alonso)
- external pageDimitris Koutsoukoscall_made (primary advisor: Prof. Gustavo Alonso)
Post-docs:
Masters students:
- external pageFrançois Costacall_made
- external pageIxeia Sánchez Périzcall_made
- external pagePinghe Licall_made
- external pageJingyi Zhucall_made
- external pagePaul Elvingercall_made
- external pageXianzhe Macall_made
- external pageFangyun Lincall_made
- external pageVictor Vitezcall_made
Bachelor students: