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 Senseable Stockholm Lab, SSL 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

KTH researchers behind breakthrough set to halve data centre energy consumption
14 Jun 2022
"Double-layer geodesic and gradient-index lenses"
2 Jun 2022
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

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EECS calendar

PDC Summer School 2022: Introduction to High Performance Computing

15
Aug

Training and courses

Mon 2022-08-15, 09:00 - Fri 2022-08-26, 12:30

Lecturer: PDC staff and guest lecturers

Location: KTH Royal Institute of Technology main campus, Stockholm

2022-08-15T09:00:00.000+02:00 2022-08-26T12:30:00.000+02:00 PDC Summer School 2022: Introduction to High Performance Computing (Training and courses) KTH Royal Institute of Technology main campus, Stockholm (KTH, Stockholm, Sweden)PDC Summer School 2022: Introduction to High Performance Computing (Training and courses)
Intelligent System Designs

26
Aug

Public defences of doctoral theses

Friday 2022-08-26, 09:00

Location: Kollegiesalen, Brinellvägen 8, Stockholm

Doctoral student: Yang You , Teknisk informationsvetenskap

2022-08-26T09:00:00.000+02:00 2022-08-26T09:00:00.000+02:00 Intelligent System Designs (Public defences of doctoral theses) Kollegiesalen, Brinellvägen 8, Stockholm (KTH, Stockholm, Sweden)Intelligent System Designs (Public defences of doctoral theses)
Learning Spatiotemporal Features in Low-Data and Fine-Grained Action Recognition with an Application to Equine Pain Behavior

2
Sep

Public defences of doctoral theses

Friday 2022-09-02, 10:00

Location: F3, Lindstedtsvägen 26 & 28, Stockholm

Doctoral student: Sofia Broomé , Robotik, perception och lärande, RPL, Hedvig Kjellström

2022-09-02T10:00:00.000+02:00 2022-09-02T10:00:00.000+02:00 Learning Spatiotemporal Features in Low-Data and Fine-Grained Action Recognition with an Application to Equine Pain Behavior (Public defences of doctoral theses) F3, Lindstedtsvägen 26 & 28, Stockholm (KTH, Stockholm, Sweden)Learning Spatiotemporal Features in Low-Data and Fine-Grained Action Recognition with an Application to Equine Pain Behavior (Public defences of doctoral theses)

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