Dr. Jana Tumova

Associate Professor

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Biography

Jana Tumova is an Associate Professor at KTH Royal Institute of Technology, specializing in the field of robotics, particularly in perception and learning. With substantial experience in both academia and practical applications of robotics, she has contributed to the development of various robotics systems. Her research interests cover topics such as artificial intelligence, robot planning, and sustainable systems. Jana teaches courses on Artificial Intelligence and Safe Robot Planning Control, where she not only examines students but also takes on the role of course responsible, ensuring an informative and engaging learning environment. Through her research and teaching activities, she aims to advance the field of robotics and inspire the next generation of engineers and researchers.

Research Interests

Artificial Intelligence Robotics Perception Learning

Experience

Associate Professor

2015-08-01 — Present

KTH Royal Institute of Technology • Stockholm, Sweden

Teaching and conducting research related to robotics, focusing on perception and learning.

Courses

Artificial Intelligence (DD2380) Robotics Safe Robot Planning Control (DD2416) Safe Robot Planning Control (FDD3416) Sustainable Systems Control Engineer (EL2220)

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).