Miljö och hållbar utveckling

Kalenderhändelser saknas för aktuell period.

Kommande kalenderhändelser:

• Efficient commuter craft for urban waterborne public transportation

  15 jan

  Licentiatseminarier

  Farkostteknik

  fredag 2021-01-15, 10.00

  Plats: 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)

  Licentiand: 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 (Licentiatseminarier) 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 (Licentiatseminarier)

• On the relation between paperboard properties and packaging performance

  18 jan

  Licentiatseminarier

  Hållfasthetslära

  måndag 2021-01-18, 13.15

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

  Licentiand: 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 (Licentiatseminarier) Live-streaming via Zoom: https://kth-se.zoom.us/j/66805496924, Stockholm (KTH, Stockholm, Sweden)On the relation between paperboard properties and packaging performance (Licentiatseminarier)

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

  28 jan

  Disputationer

  Elektro- och systemteknik

  torsdag 2021-01-28, 13.00

  Plats: zoom link for online defense (English)

  Respondent: 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 (Disputationer) zoom link for online defense (English) (KTH, Stockholm, Sweden)A Fault Detection Framework Using Recurrent Neural Networks for Condition Monitoring of Wind Turbines (Disputationer)