Vladimir Vlassov
Scholar

Vladimir Vlassov

Google Scholar ID: X2AfiyAAAAAJ
Professor in Computer Systems, KTH Royal Institute of Technology
Deep LearningData-intensive computingCloud computingDistributed computingAutonomic computing
Citations & Impact
All-time
Citations
1,671
 
H-index
17
 
i10-index
30
 
Publications
20
 
Co-authors
17
list available
Resume (English only)
Academic Achievements
  • Supervised multiple PhD students and published papers in various fields.
Research Experience
  • Contributed to several EU-funded projects (FP5–FP7 and Horizon 2020), as well as projects funded by Swedish research agencies and the Research Council of Norway.
Education
  • No detailed educational background information provided.
Background
  • He is a Full Professor of Computer Systems at KTH. His current research focuses on applied AI, scalable deep learning, natural language processing, stream processing, large-scale distributed systems, and cloud-based services. His broader interests include machine learning, cloud and distributed computing, and autonomic systems.
Miscellany
  • Teaches multiple courses including Concurrent Programming, Data Mining, etc.