Vladimir Vlassov

Vladimir Vlassov is a full Professor in Computer Systems at KTH. His research interests include (but are not limited to) Big Data and data-intensive computing, autonomic computing, and distributed and parallel computing.

His current research focuses 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 several European projects on data-intensive computing (Big Data), Cloud computing, P2P, autonomic computing, and multi-core systems; in several research projects funded by Swedish funding agencies and NSF USA. Recently, he was 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/). His past research projects are presented on his home page.

Currently, he is a principal investigator in the project "ALEC2 - Adaptive Level of Effective and Continuous Care to Common Mental Health Disorders (CMDS)," which aims the development of AVA (Automated Vigilance Assistant) - an AI-supported system for online cognitive behavioral therapy. AVA will use AI technologies, namely NLP, NLU, and DL, to automatically diagnose, predict and monitor mental health conditions, to support patients toward full recovery.

[See  also my personal homepage for more details]