School of Electrical Engineering and Computer Science
The School of Electrical Engineering and Computer Science is one of five schools at KTH Royal Institute of Technology. The school conducts research and education within in electrical engineering, computer science, and information and communication technology.
We conduct research at a basic and applied level that solves real problems and challenges in society, all with a scientific excellence and in partnership with society. Our programmes in electrical engineering and computer science educates the engineers and researchers of tomorrow. Below are our research areas divided by departments.
Departments

What will happen when art and music are increasingly created by AI?
Our computers are taking over a larger part of the creative effort that goes into creating art, articles and music. This brings with it a number of ne...
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Collaboration behind unique AI-program
KTH has joined forces with Ericsson to develop a unique contract education program within Machine Learning and AI. Right now, 30 Ericsson engineers ar...
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SciBreak develops superfast circuit breakers for the the railway network
SCiBreak, a start-up with roots in Electric Power and Energy Systems at KTH, has been featured in the magazine Ny Teknik. The article focuses on the ...
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The portrait painting “Edmond de Belamy” is seen as a breakthrough for AI created art (image is cropped). (Photo: Obvious) 21 Dec 2020 -
Collaboration behind unique AI-program21 Dec 2020
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'I never imagined working in the music industry'16 Nov 2020
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A new material takes shape – all by itself24 Jun 2020
EECS calendar
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26JanLectures and seminarsTuesday 2021-01-26, 15:00Lecturer: Martin Ljungdahl ErikssonLocation: Online via Zoom2021-01-26T15:00:00.000+01:00 2021-01-26T15:00:00.000+01:00 Designing the unnoticeable (Lectures and seminars) Designing the unnoticeable (Lectures and seminars)
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28JanPublic defences of doctoral thesesThursday 2021-01-28, 13:00Location: zoom link for online defense (English)Doctoral student: Yue Cui , Elektroteknik2021-01-28T13:00:00.000+01:00 2021-01-28T13:00:00.000+01:00 A Fault Detection Framework Using Recurrent Neural Networks for Condition Monitoring of Wind Turbines (Public defences of doctoral theses) A Fault Detection Framework Using Recurrent Neural Networks for Condition Monitoring of Wind Turbines (Public defences of doctoral theses)
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5FebPublic defences of doctoral thesesFriday 2021-02-05, 13:00Doctoral student: Ilka Jahn , Elkraftteknik2021-02-05T13:00:00.000+01:00 2021-02-05T13:00:00.000+01:00 Protection for Multiterminal HVDC Grids - A Digital Contribution (Public defences of doctoral theses) Protection for Multiterminal HVDC Grids - A Digital Contribution (Public defences of doctoral theses)