Dr. Vladimir Vlassov

Professor

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Biography

Vladimir Vlassov is a Professor at KTH Royal Institute of Technology in the Department of Computer Systems. His current research focuses on applied artificial intelligence, scalable deep learning, natural language processing, stream processing, and large-scale distributed systems, along with cloud-based services. He has broader interests in machine learning, cloud distributed computing, and autonomic systems. Throughout his career, Vlassov has contributed to various EU-funded projects including FP5, FP7, and Horizon 2020, as well as projects funded by Swedish research agencies such as the Research Council of Norway. He has supervised numerous PhD students at KTH, guiding them through their thesis work in various fields related to these advanced technologies. Vlassov has also taught several courses, contributing significantly to the academic programs at KTH.

Research Interests

Applied Artificial Intelligence Scalable Deep Learning Natural Language Processing Stream Processing Large-Scale Distributed Systems Cloud-Based Services Machine Learning Cloud Distributed Computing Autonomic Systems

Courses

Concurrent Programming (ID1217) Data Mining (FID3016) Data Mining (ID2222) Distributed Systems, Basic Course (ID2201)

Requirements for KTH Royal Institute of Technology

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:5.5
Reading
Required:5.5
Writing
Required:5.5
Speaking
Required:5.5
Overall
Required:6.5
TOEFL
Listening
Required:0
Reading
Required:0
Writing
Required:20
Speaking
Required:0
Total
Required:90
PTE
Listening
Required:0
Reading
Required:0
Writing
Required:62
Speaking
Required:0
Overall
Required:62
Prerequisites
Bachelor's degree (180 ECTS) in Science, Engineering, or a related field. Specific course requirements vary by department (e.g., Mathematics, Programming, or Subject-specific credits).
Application Checklist
  • Certificates and diplomas of completed degree
  • Transcript of records
  • Proof of English proficiency
  • Copy of passport or ID
  • Curriculum Vitae (CV)
  • Letter of Motivation
  • Letters of Recommendation (if required by program)
  • Summary of Project (if required)
Specialization Notes

Master's programs are organized under Schools; departments listed are units within these schools (e.g., EECS, ABE, CBH, ITM, SCI).