Defence of dissertations
Sun 28 January - Tue 31 December
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Public defences of doctoral theses
Planning and Decision Analysis, Urban and Regional Studies
Friday 2024-02-02, 10:00
Location: Kollegiesalen, Brinellvägen 8, Stockholm
Video link: https://kth-se.zoom.us/j/61168009140
Doctoral student: Jacob Hassler , Urbana och regionala studier
2024-02-02T10:00:00.000+01:00 2024-02-02T10:00:00.000+01:00 Where are the people in emergency service planning? (Public defences of doctoral theses) Kollegiesalen, Brinellvägen 8, Stockholm (KTH, Stockholm, Sweden)Where are the people in emergency service planning? (Public defences of doctoral theses) -
Public defences of doctoral theses
Planning and Decision Analysis, Urban and Regional Studies
Friday 2024-10-25, 09:00
Location: Kollegiesalen, Brinellvägen 8, Stockholm
Video link: https://kth-se.zoom.us/s/66904913390
Doctoral student: Ioannis Ioannidis , Urbana och regionala studier
2024-10-25T09:00:00.000+02:00 2024-10-25T09:00:00.000+02:00 Understanding crime patterns using spatial data analysis (Public defences of doctoral theses) Kollegiesalen, Brinellvägen 8, Stockholm (KTH, Stockholm, Sweden)Understanding crime patterns using spatial data analysis (Public defences of doctoral theses) -
Public defences of doctoral theses
Geodesy and Geoinformatics, Geoinformatics
Wednesday 2024-11-27, 13:00
Location: Kollegiesalen, Brinellvägen 8, Stockholm
Video link: https://kth-se.zoom.us/j/67011152784
Doctoral student: Silvino Pedro Cumbane , Geoinformatik
2024-11-27T13:00:00.000+01:00 2024-11-27T13:00:00.000+01:00 Mobile Phone Data Analytics to Support Disaster and Disease Outbreak Response (Public defences of doctoral theses) Kollegiesalen, Brinellvägen 8, Stockholm (KTH, Stockholm, Sweden)Mobile Phone Data Analytics to Support Disaster and Disease Outbreak Response (Public defences of doctoral theses) -
Public defences of doctoral theses
Transport Science, Transport Systems
Thursday 2024-12-05, 09:00
Location: F3 (Flodis), Lindstedtsvägen 26 & 28, Stockholm
Video link: https://kth-se.zoom.us/j/65604479123
Doctoral student: Stephen McCarthy , Transport och systemanalys
2024-12-05T09:00:00.000+01:00 2024-12-05T09:00:00.000+01:00 Dynamic travel behaviour modelling (Public defences of doctoral theses) F3 (Flodis), Lindstedtsvägen 26 & 28, Stockholm (KTH, Stockholm, Sweden)Dynamic travel behaviour modelling (Public defences of doctoral theses) -
Public defences of doctoral theses
Geodesy and Geoinformatics, Geoinformatics
Friday 2024-12-06, 09:00
Location: Kollegiesalen, Brinellvägen 8, Stockholm
Video link: https://kth-se.zoom.us/j/62299317578
Doctoral student: Yu Zhao , Geoinformatik
2024-12-06T09:00:00.000+01:00 2024-12-06T09:00:00.000+01:00 Deep Learning for Wildfire Detection Using Multi-Sensor Multi-Resolution Satellite Images (Public defences of doctoral theses) Kollegiesalen, Brinellvägen 8, Stockholm (KTH, Stockholm, Sweden)Deep Learning for Wildfire Detection Using Multi-Sensor Multi-Resolution Satellite Images (Public defences of doctoral theses) -
Public defences of doctoral theses
Urban and Regional Planning
Friday 2024-12-06, 13:00
Location: Kollegiesalen, Brinellvägen 8, Stockholm
Video link: https://kth-se.zoom.us/j/64006652338
Doctoral student: Pieter Brokking , Urbana och regionala studier
2024-12-06T13:00:00.000+01:00 2024-12-06T13:00:00.000+01:00 Adapting to Change. (Public defences of doctoral theses) Kollegiesalen, Brinellvägen 8, Stockholm (KTH, Stockholm, Sweden)Adapting to Change. (Public defences of doctoral theses) -
Public defences of doctoral theses
Geodesy and Geoinformatics, Geoinformatics
Friday 2024-12-13, 09:00
Location: D37, Lindstedtsvägen 5, Stockholm
Video link: https://kth-se.zoom.us/j/65114181594
Doctoral student: Sebastian Hafner , Geoinformatik
2024-12-13T09:00:00.000+01:00 2024-12-13T09:00:00.000+01:00 Multi-Sensor Remote Sensing for Urban Mapping and Change Detection Using Deep Learning (Public defences of doctoral theses) D37, Lindstedtsvägen 5, Stockholm (KTH, Stockholm, Sweden)Multi-Sensor Remote Sensing for Urban Mapping and Change Detection Using Deep Learning (Public defences of doctoral theses)