Registered user since Tue 10 Dec 2019
Name: Vladimir Vlassov
Bio: Vladimir Vlassov is a professor in Computer Systems at KTH Royal Institute of Technology, Stockholm, Sweden. His research interests include (but not limited to) Big Data and data intensive computing; autonomic computing; distributed and parallel computing.
His current research focus is on data-intensive computing and stream processing; Cloud resource management; self-management of cloud-based services and applications; large-scale distributed systems.
He has participated in number of European projects on data-intensive computing (Big Data), Cloud computing, P2P, autonomic computing, and multi-core systems; in a number of research projects funded by Swedish funding agencies and NSF USA.
Currently, he is a principal investigator in the H2020 project “ExtremeEarth: From Copernicus Big Data to Extreme Earth Analytics” (http://earthanalytics.eu/), and one of the coordinators of the Erasmus Mundus Joint Doctorate in Distributed Computing (EMJD-DC, http://emjd-dc.eu/)
Affiliation: KTH Royal Institute of Technology
Personal website: https://www.kth.se/profile/vladv
Research interests: Data-intensive computing, Computer systems, Machine learning, Stream processing
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