Sustainability

No calendar events were found within the current period.

Upcoming calendar events:

• Efficient commuter craft for urban waterborne public transportation

  15 Jan

  Licentiate seminars

  Vehicle and Maritime Engineering

  Friday 2021-01-15, 10:00

  Location: Register in advance for this webinar: https://kth-se.zoom.us/webinar/register/WN_ZHbOCahkQCmfZ_Dtj1Lhkg After registering, you will receive a confirmation email containing information about joining the webinar., Stockholm (English)

  Doctoral student: Harsha Cheemakurthy , Marina system

  2021-01-15T10:00:00.000+01:00 2021-01-15T10:00:00.000+01:00 Efficient commuter craft for urban waterborne public transportation (Licentiate seminars) Register in advance for this webinar: https://kth-se.zoom.us/webinar/register/WN_ZHbOCahkQCmfZ_Dtj1Lhkg After registering, you will receive a confirmation email containing information about joining the webinar., Stockholm (English) (KTH, Stockholm, Sweden)Efficient commuter craft for urban waterborne public transportation (Licentiate seminars)

• On the relation between paperboard properties and packaging performance

  18 Jan

  Licentiate seminars

  Solid Mechanics

  Monday 2021-01-18, 13:15

  Location: Live-streaming via Zoom: https://kth-se.zoom.us/j/66805496924, Stockholm

  Doctoral student: Gustav Marin , Hållfasthetslära

  2021-01-18T13:15:00.000+01:00 2021-01-18T13:15:00.000+01:00 On the relation between paperboard properties and packaging performance (Licentiate seminars) Live-streaming via Zoom: https://kth-se.zoom.us/j/66805496924, Stockholm (KTH, Stockholm, Sweden)On the relation between paperboard properties and packaging performance (Licentiate seminars)

• A Fault Detection Framework Using Recurrent Neural Networks for Condition Monitoring of Wind Turbines

  28 Jan

  Public defences of doctoral theses

  Electrical Engineering

  Thursday 2021-01-28, 13:00

  Location: zoom link for online defense (English)

  Doctoral student: Yue Cui , Elektroteknik

  2021-01-28T13:00:00.000+01:00 2021-01-28T13:00:00.000+01:00 A Fault Detection Framework Using Recurrent Neural Networks for Condition Monitoring of Wind Turbines (Public defences of doctoral theses) zoom link for online defense (English) (KTH, Stockholm, Sweden)A Fault Detection Framework Using Recurrent Neural Networks for Condition Monitoring of Wind Turbines (Public defences of doctoral theses)