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 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.
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...Read the article
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...Read the article
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 ...Read the article
19MayPublic defences of doctoral thesesWednesday 2021-05-19, 10:00Location: zoom link for online defense (English)Doctoral student: Tim Augustin , Elkraftteknik, Power Electronics2021-05-19T10:00:00.000+02:00 2021-05-19T10:00:00.000+02:00 Enhanced Active Resonant DC Circuit Breakers for HVDC Grids (Public defences of doctoral theses) Enhanced Active Resonant DC Circuit Breakers for HVDC Grids (Public defences of doctoral theses)
20MayPublic defences of doctoral thesesThursday 2021-05-20, 13:00Location: zoom link for online defense (English)Doctoral student: Vidit Saxena , Teknisk informationsvetenskap2021-05-20T13:00:00.000+02:00 2021-05-20T13:00:00.000+02:00 Machine Learning for Wireless Link Adaptation (Public defences of doctoral theses) Machine Learning for Wireless Link Adaptation (Public defences of doctoral theses)