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.
Human Centered Technology
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
Chips could accelerate tests for drug safety and effectiveness
A multiple organ-on-chip platform developed by researchers at KTH and Harvard University could drastically accelerate drug testing. The technology pro...Read the article
Newly inaugurated professors in Electrical Engineering and Computer Science
At KTH’s academic ceremony in November, 19 professors were inaugurated and seven of these belong to the School of Electrical Engineering and Computer ...Read the article
22OctPublic defences of doctoral thesesThursday 2020-10-22, 09:00Location: zoom link for online defence (English)Doctoral student: Jingna Zeng , Programvaruteknik och datorsystem, SCS2020-10-22T09:00:00.000+02:00 2020-10-22T09:00:00.000+02:00 Augmenting Transactional Memory with the Future Abstraction (Public defences of doctoral theses) Augmenting Transactional Memory with the Future Abstraction (Public defences of doctoral theses)
22OctMaster thesis presentationsThursday 2020-10-22, 13:00Lecturer: Wenyu GuLocation: Zoom - https://kth-se.zoom.us/j/653268548762020-10-22T13:00:00.000+02:00 2020-10-22T13:00:00.000+02:00 Improving the performance of stream processing pipeline for vehicle data (Master thesis presentations) Improving the performance of stream processing pipeline for vehicle data (Master thesis presentations)
22OctPublic defences of doctoral thesesThursday 2020-10-22, 14:00Doctoral student: Mia Kokic , Datavetenskap, Centrum för autonoma system, CAS, Robotik, perception och lärande, RPL, Robotics, Perception and Learning2020-10-22T14:00:00.000+02:00 2020-10-22T14:00:00.000+02:00 Learning for Task-Oriented Grasping (Public defences of doctoral theses) Learning for Task-Oriented Grasping (Public defences of doctoral theses)