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
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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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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He helps students grow5 May 2022
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GeneDisco Challenge6 Apr 2022
EECS calendar
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15AugTraining and coursesMon 2022-08-15, 09:00 - Fri 2022-08-26, 12:30Lecturer: PDC staff and guest lecturersLocation: KTH Royal Institute of Technology main campus, Stockholm2022-08-15T09:00:00.000+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)
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26AugPublic defences of doctoral thesesFriday 2022-08-26, 09:00Location: Kollegiesalen, Brinellvägen 8, StockholmDoctoral student: Yang You , Teknisk informationsvetenskap2022-08-26T09:00:00.000+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)
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2SepPublic defences of doctoral thesesFriday 2022-09-02, 10:00Location: F3, Lindstedtsvägen 26 & 28, StockholmVideo link: https://kth-se.zoom.us/j/667283727582022-09-02T10:00:00.000+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)