Defense of Dissertations
Thu 30 March - Sun 31 December
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Public defences of doctoral theses
Tuesday 2023-05-09, 15:00
Location: Ka-Sal C (Sven-Olof Öhrvik), Kistagången 16, Kista
Doctoral student: Diarmuid Corcoran , Programvaruteknik och datorsystem, SCS
2023-05-09T15:00:00.000+02:00 2023-05-09T15:00:00.000+02:00 Systematic Data-Driven Continual Self-Learning (Public defences of doctoral theses) Ka-Sal C (Sven-Olof Öhrvik), Kistagången 16, Kista (KTH, Stockholm, Sweden)Systematic Data-Driven Continual Self-Learning (Public defences of doctoral theses) -
Public defences of doctoral theses
Computer Science
Thursday 2023-06-01, 13:15
Location: D2, Lindstedtsvägen 5, Stockholm
Doctoral student: César Soto Valero , Programvaruteknik och datorsystem, SCS, ASSERT
2023-06-01T13:15:00.000+02:00 2023-06-01T13:15:00.000+02:00 Debloating Java Dependencies (Public defences of doctoral theses) D2, Lindstedtsvägen 5, Stockholm (KTH, Stockholm, Sweden)Debloating Java Dependencies (Public defences of doctoral theses) -
Public defences of doctoral theses
Information and Communication Technology Information and Communication Technology
Wednesday 2023-06-07, 13:00
Location: F3, Lindstedtsvägen 26 & 28, Stockholm
Video link: https://kth-se.zoom.us/j/65880566532
Doctoral student: Rodothea Myrsini Tsoupidi , Programvaruteknik och datorsystem, SCS
2023-06-07T13:00:00.000+02:00 2023-06-07T13:00:00.000+02:00 Generating Optimized and Secure Binary Code (Public defences of doctoral theses) F3, Lindstedtsvägen 26 & 28, Stockholm (KTH, Stockholm, Sweden)Generating Optimized and Secure Binary Code (Public defences of doctoral theses) -
Public defences of doctoral theses
Information and Communication Technology
Friday 2023-06-09, 09:00
Location: Sal-C, Kistagången 16
Doctoral student: Lodovico Giaretta , Programvaruteknik och datorsystem, SCS
2023-06-09T09:00:00.000+02:00 2023-06-09T09:00:00.000+02:00 Towards Decentralized Graph Learning (Public defences of doctoral theses) Sal-C, Kistagången 16 (KTH, Stockholm, Sweden)Towards Decentralized Graph Learning (Public defences of doctoral theses)