Vladimir Vlassov is a professor in Computer Systems at KTH. 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. 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 personal 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)" that aims a 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 towards full recovery.