School of Engineering Sciences (SCI)
Internal pages for employees at SCI School. Please note the difference between the local SCI web navigation menu to the left and the top KTH intranet menu shown above.


School information
- Future education projects at SCI
1 May 2023
- CERN project 2022
24 Apr 2023
- Interview with Elias Zea
28 Feb 2023
- Interview with Oscar Tjernberg and Jens Fransson
31 Jan 2023
- Flow research for an energy-efficient future
31 Jan 2023
Internal events for SCI
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Licentiate seminars
Wednesday 2023-05-31, 09:00
Location: Integrated Transport Research Lab, Drottning Kristinas väg 40, 114 28
Doctoral student: Lin Zhao , Väg- och spårfordon samt konceptuell fordonsdesign, Vehicle dynamic group
2023-05-31T09:00:00.000+02:00 2023-05-31T09:00:00.000+02:00 Teleoperation and the influence of driving feedback on drivers’ behaviour and experience (Licentiate seminars) Integrated Transport Research Lab, Drottning Kristinas väg 40, 114 28 (KTH, Stockholm, Sweden)Teleoperation and the influence of driving feedback on drivers’ behaviour and experience (Licentiate seminars) -
Public defences of doctoral theses
Thursday 2023-06-01, 10:00
Location: F3, Lindstedtsvägen 26 & 28, Stockholm
Video link: https://kth-se.zoom.us/j/68259826119
Doctoral student: Rohan Kulkarni , Teknisk mekanik, Järnvägsgruppen, JVG
2023-06-01T10:00:00.000+02:00 2023-06-01T10:00:00.000+02:00 Onboard condition monitoring of vehicle-track dynamic interaction using machine learning (Public defences of doctoral theses) F3, Lindstedtsvägen 26 & 28, Stockholm (KTH, Stockholm, Sweden)Onboard condition monitoring of vehicle-track dynamic interaction using machine learning (Public defences of doctoral theses) -
Public defences of doctoral theses
Thursday 2023-06-01, 13:00
Location: Kollegiesalen, Brinellvägen 8, Stockholm
Doctoral student: Marcus Nordström , Matematisk statistik
2023-06-01T13:00:00.000+02:00 2023-06-01T13:00:00.000+02:00 On Medical Image Segmentation With Noisy Labels (Public defences of doctoral theses) Kollegiesalen, Brinellvägen 8, Stockholm (KTH, Stockholm, Sweden)On Medical Image Segmentation With Noisy Labels (Public defences of doctoral theses)