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

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Information and Communication Technology

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Transport

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Production

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Energy

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Basic sciences

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Latest update

2021-04-09