Lars Nagel studied Computer Science with a minor in Mathematics at the Technichal University of Munich. After his graduation he worked as a software developer for Siemens and Trium Analysis Online. In 2007 he continued his studies of computer science under the supervision of Tom Friedetzky at Durham University. During this time he spent seven months at Simon Fraser University in Vancouver. After earning his PhD degree, he was a postdoctoral researcher at the University of Paderborn and the University of Mainz. Since 2017 he is a lecturer at º¬Ðß²ÝÊÓƵ.
Lars Nagel's main interests are in theoretical computer science and systems. His research focuses on efficient and fault-tolerant algorithms and data structures for distributed computing, e.g. for load balancing and scheduling. Application areas of his work are cloud and green computing, high-performance computing and storage systems.
Research areas
- Distributed Algorithms
- Scheduling & Load Balancing
- Randomised Algorithms
- CS Theory
- Storage Systems
- Distributed Systems
- Program committee member of conferences: SEAA (2014-15), P2P (2015), PDP (2015-20), ICPP (2016), IPDPS (2017), Euro-Par (2017), SPAA (2019)
- Program committee member of workshops: IWSG (2017), WOPSSS (2017-19), TOPIC (2018)
- Reviewer for journals: Transaction on Storage, Applied Computing and Informatics, Science Review, Concurrency and Computation: Practice and Experience, The Computer Journal, Letters of the Computer Society
- Reviewer for funding organizations: Agence Nationale de la Recherche, National Science Centre Poland
- Member of the Networks and System(NetSys) research theme
- Member of the Theoretical Computer Science (TCS) research theme