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.

Departments

Department of Computer Science

Department of Electrical Engineering

Department of Human Centered Technology

Department of Intelligent Systems

Competence Centres

Centre for Autonomous Systems Castor Center for Cyber Defense and Information Security Digital Futures

Electrum Laboratory NAVET PDC Center for High Performance Computing Swedish Centre for Smart Grids and Energy Storage

Divisions

Communication Systems Computational Science and Technology Decision and Control Systems Electric Power and Energy Systems

Electromagnetic Engineering Electronics and Embedded Systems Fusion Plasma Physics Information Science and Engineering

Media Technology and Interaction Design Micro and Nanosystems Network and Systems Engineering Robotics, Perception and Learning

Software and Computer System Space and Plasma Physics Speech, Music and Hearing Theoretical Computer Science

GeneDisco Challenge

We talked to Stefan Bauer who is organising a Machine Learning for Drug Discovery Workshop and GeneDisco Challenge, Friday 29 April.

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Professor Dejan Kostić from The Division of Software and Computer Systems (SCS) (Dejan.jpg) — Professor Dejan Kostić from The Division of Software and Computer Systems (SCS)

Congratulations Dejan Kostić!

We met up with Dejan Kostić who has won a Best Paper Award at the ACM Symposium on Operating Systems Principles (SOSP) 2021 and talked about what the award will mean to him and his team.

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Failing robot led to Best paper-nomination

Hello, Dimosthenis Kontogiorgos, congratulations to having your paper nominated for the Best Paper Award at ICMI 2021!

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EECS news

Mark Smith spends weekdays and weekends at Kista Mentorspace. (Photo: Marc Femenia)

He helps students grow
5 May 2022
GeneDisco Challenge
6 Apr 2022
Can the brain keeps useful information while ignoring unuseful noise
22 Mar 2022
Satellite data shows ‘shocking’ way Earth's magnetic field produces plasma jets
2 Feb 2022
“Healthcare and welfare services should be accessible to everyone”
16 Dec 2021

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EECS calendar

Accelerating Distributed Storage in Heterogeneous Settings

30
May

Public defences of doctoral theses

Monday 2022-05-30, 15:00

Location: Ka-Sal C (Sven-Olof Öhrvik), Kistagången 16, Kista

Video link: https://kth-se.zoom.us/meeting/register/u5Iqd-yhqTorGNLFoosJXIJmTXZl3rsxS55J

Doctoral student: Waleed Reda , Network Systems Laboratory (NS Lab)

2022-05-30T15:00:00.000+02:00 2022-05-30T15:00:00.000+02:00 Accelerating Distributed Storage in Heterogeneous Settings (Public defences of doctoral theses) Ka-Sal C (Sven-Olof Öhrvik), Kistagången 16, Kista (KTH, Stockholm, Sweden)Accelerating Distributed Storage in Heterogeneous Settings (Public defences of doctoral theses)
Using semantic score encodings for music performance research

31
May

Lectures and seminars

Tuesday 2022-05-31, 15:00

Lecturer: Werner Goebl, University of Music and Performing Arts Vienna

Location: Henrik Eriksson Room (1440), Lindstedtsvägen 3, floor 4

Video link: https://kth-se.zoom.us/j/62182993824

2022-05-31T15:00:00.000+02:00 2022-05-31T15:00:00.000+02:00 Using semantic score encodings for music performance research (Lectures and seminars) Henrik Eriksson Room (1440), Lindstedtsvägen 3, floor 4 (KTH, Stockholm, Sweden)Using semantic score encodings for music performance research (Lectures and seminars)
Analysis of Attacks on Controlled Stochastic Systems

31
May

Licentiate seminars

Tuesday 2022-05-31, 16:00

Location: Nyquist Room, Malvinas Väg 10

Doctoral student: Alessio Russo , Reglerteknik, Statistical Learning for Control

2022-05-31T16:00:00.000+02:00 2022-05-31T16:00:00.000+02:00 Analysis of Attacks on Controlled Stochastic Systems (Licentiate seminars) Nyquist Room, Malvinas Väg 10 (KTH, Stockholm, Sweden)Analysis of Attacks on Controlled Stochastic Systems (Licentiate seminars)

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