Department of Computer Science
The department is a part of the The School of Electrical Engineering and Computer Science (EECS). The subject of computer science provides the technological basis for modern digitised societies from public service to businesses and science. Education in computer science is as essential as mathematics in all university disciplines.
Divisions
News and events
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Public defences of doctoral theses
Friday 2025-01-24, 09:00
Location: Sal-C, Kistagången 16
Doctoral student: Edvin Listo Zec , Programvaruteknik och datorsystem, SCS
2025-01-24T09:00:00.000+01:00 2025-01-24T09:00:00.000+01:00 Decentralized deep learning in statistically heterogeneous environments (Public defences of doctoral theses) Sal-C, Kistagången 16 (KTH, Stockholm, Sweden)Decentralized deep learning in statistically heterogeneous environments (Public defences of doctoral theses) -
Public defences of doctoral theses
Friday 2025-01-31, 10:00
Location: Ka-Sal C, Kistangangen 16, Kista
Video link: https://kth-se.zoom.us/j/61632995144
Doctoral student: Irshad Ahmad Meer , Kommunikationssystem, CoS
2025-01-31T10:00:00.000+01:00 2025-01-31T10:00:00.000+01:00 AI Assisted Mobility Management for Cellular Connected UAVs (Public defences of doctoral theses) Ka-Sal C, Kistangangen 16, Kista (KTH, Stockholm, Sweden)AI Assisted Mobility Management for Cellular Connected UAVs (Public defences of doctoral theses) -
Public defences of doctoral theses
Monday 2025-02-10, 13:00
Location: Ka-Sal C (Sven-Olof Öhrvik), Kistagången 16, Kista
Doctoral student: Afsaneh Mahmoudi , Kommunikationssystem, CoS
2025-02-10T13:00:00.000+01:00 2025-02-10T13:00:00.000+01:00 Toward Efficient Federated Learning over Wireless Networks (Public defences of doctoral theses) Ka-Sal C (Sven-Olof Öhrvik), Kistagången 16, Kista (KTH, Stockholm, Sweden)Toward Efficient Federated Learning over Wireless Networks (Public defences of doctoral theses) -
Public defences of doctoral theses
Thursday 2025-02-13, 13:00
Location: Ka-Sal B (Peter Weisglass), Kistagången 16, Electrum, Kista
Video link: https://kth-se.zoom.us/j/66054420196
Doctoral student: Amr Alkhatib , Programvaruteknik och datorsystem, SCS
2025-02-13T13:00:00.000+01:00 2025-02-13T13:00:00.000+01:00 Addressing Shortcomings of Explainable Machine Learning Methods (Public defences of doctoral theses) Ka-Sal B (Peter Weisglass), Kistagången 16, Electrum, Kista (KTH, Stockholm, Sweden)Addressing Shortcomings of Explainable Machine Learning Methods (Public defences of doctoral theses)
