WASP SAS: Structuring data for continuous processing and ML systems
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.
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Associate professor in the Networks and Systems division, Department of Computer Science and Engineering,
Earlier with the Max-Planck Inst. for Computer Science, Saarbruecken and CWI, Amsterdam, Ph.D. degree from the Computer Science and Informatics Dept., Patras Un.. Member of Network of National...
PhD Student, Networks and Systems division, Department of Computer Science and Engineering.
Associate professor, Networks and Systems, Computer Science and Engineering.
More details on personal website vincenzogulisano.com
Professor, division of Networks and Systems, Department of Computer Science and Engineering.
- Wallenberg AI, Autonomous Systems and Software Program (Non Profit, Sweden)