Defense of Dissertations

Programming Language Primitives and Tools for Integrated Real-Time Systems Development

8 Jun

Public defences of doctoral theses

Information and Communication Technology

Tuesday 2021-06-08, 15:00

Location: https://kth-se.zoom.us/j/66750152272?pwd=TWdScDl6ZmtXL0pZVktqUjlDSzAxdz09, Sal C, kistagången 16, Kista (English)

Doctoral student: Saranya Natarajan , Programvaruteknik och datorsystem, SCS

2021-06-08T15:00:00.000+02:00 2021-06-08T15:00:00.000+02:00 Programming Language Primitives and Tools for Integrated Real-Time Systems Development (Public defences of doctoral theses) https://kth-se.zoom.us/j/66750152272?pwd=TWdScDl6ZmtXL0pZVktqUjlDSzAxdz09, Sal C, kistagången 16, Kista (English) (KTH, Stockholm, Sweden)Programming Language Primitives and Tools for Integrated Real-Time Systems Development (Public defences of doctoral theses)

Scalable Streaming Graph and Time Series Analysis Using Partitioning and Machine Learning

4 Oct

Public defences of doctoral theses

Information and Communication Technology

Monday 2021-10-04, 14:00

Location: https://kth-se.zoom.us/meeting/register/u5Uof-2gqzsvGNdRddTW4DKuhwT5hwiqKPUo, Sal C Electrum, Kistagången 16, Stockholm (English)

Doctoral student: Zainab Abbas , Programvaruteknik och datorsystem, SCS

2021-10-04T14:00:00.000+02:00 2021-10-04T14:00:00.000+02:00 Scalable Streaming Graph and Time Series Analysis Using Partitioning and Machine Learning (Public defences of doctoral theses) https://kth-se.zoom.us/meeting/register/u5Uof-2gqzsvGNdRddTW4DKuhwT5hwiqKPUo, Sal C Electrum, Kistagången 16, Stockholm (English) (KTH, Stockholm, Sweden)Scalable Streaming Graph and Time Series Analysis Using Partitioning and Machine Learning (Public defences of doctoral theses)

Resource Allocation for Data-Intensive Services in the Cloud

19 Nov

Public defences of doctoral theses

Information and Communication Technology

Friday 2021-11-19, 14:00

Location: https://kth-se.zoom.us/meeting/register/u5AsceqvqzwiGd3Vb5cvfTsg22yivM19Xz0X, Sal B, Electrum, Kistagången 16, Stockholm

Doctoral student: David Daharewa Gureya , Programvaruteknik och datorsystem, SCS

2021-11-19T14:00:00.000+01:00 2021-11-19T14:00:00.000+01:00 Resource Allocation for Data-Intensive Services in the Cloud (Public defences of doctoral theses) https://kth-se.zoom.us/meeting/register/u5AsceqvqzwiGd3Vb5cvfTsg22yivM19Xz0X, Sal B, Electrum, Kistagången 16, Stockholm (KTH, Stockholm, Sweden)Resource Allocation for Data-Intensive Services in the Cloud (Public defences of doctoral theses)

Realizing Next-Generation Data Centers via Software-Defined “Hardware” Infrastructures and Resource Disaggregation

3 Dec

Public defences of doctoral theses

Information and Communication Technology

Friday 2021-12-03, 16:00

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

Video link: or online defense

Doctoral student: Amir Roozbeh , Programvaruteknik och datorsystem, SCS, Ericsson Research, Network Systems Lab (NSLab)

2021-12-03T16:00:00.000+01:00 2021-12-03T16:00:00.000+01:00 Realizing Next-Generation Data Centers via Software-Defined “Hardware” Infrastructures and Resource Disaggregation (Public defences of doctoral theses) Ka-Sal C (Sven-Olof Öhrvik), Kistagången 16, Kista (KTH, Stockholm, Sweden)Realizing Next-Generation Data Centers via Software-Defined “Hardware” Infrastructures and Resource Disaggregation (Public defences of doctoral theses)

Privacy preserving behaviour learning for the IoT ecosystem

17 Dec

Public defences of doctoral theses

Information and Communication Technology

Friday 2021-12-17, 14:00

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

Video link: https://kth-se.zoom.us/meeting/register/u5Ysd-qurj4sGdEM-l9Si4c93uwsoh2iKBG8

Doctoral student: Sana Imtiaz , Programvaruteknik och datorsystem, SCS

2021-12-17T14:00:00.000+01:00 2021-12-17T14:00:00.000+01:00 Privacy preserving behaviour learning for the IoT ecosystem (Public defences of doctoral theses) Ka-Sal C (Sven-Olof Öhrvik), Kistagången 16, Kista (KTH, Stockholm, Sweden)Privacy preserving behaviour learning for the IoT ecosystem (Public defences of doctoral theses)