WASP SAS: Structuring data for continuous processing and ML systems
Research Project
, 2018
– 2023
As the volumes of data continuously generated in digitalized systems are growing bigger, methods that can maintain appropriate structures and access of data are needed. The project will provide methods for efficient continuous processing and data structures, together with their algorithmic implementation using fine-grained synchronization methods, to address the associated data analysis in algorithmic and ML problems and to connect with real-world use-cases in the domain of adaptive, autonomous systems.
Participants
Marina Papatriantafilou (contact)
Associate Professor at Chalmers, Computer Science and Engineering (Chalmers), Networks and Systems (Chalmers)
Karl Bäckström
Doctoral Student at Chalmers, Computer Science and Engineering (Chalmers), Networks and Systems (Chalmers)
Vincenzo Massimiliano Gulisano
Associate Professor at Chalmers, Computer Science and Engineering (Chalmers), Networks and Systems (Chalmers)
Philippas Tsigas
Full Professor at Chalmers, Computer Science and Engineering (Chalmers), Networks and Systems (Chalmers)
Funding
Wallenberg AI, Autonomous Systems and Software Program
Funding Chalmers participation during 2018–2023
Related Areas of Advance and Infrastructure
Information and Communication Technology
Areas of Advance
Transport
Areas of Advance
Production
Areas of Advance
Energy
Areas of Advance
Basic sciences
Roots