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Upcoming calendar events:

• Multi-Modal Affective State Detection For Dyadic Interactions Using Thermal Imaging and Context

  26 Sep

  Public defences of doctoral theses

  Friday 2025-09-26, 13:00

  Location: D37, Lindstedtsvägen 5, Stockholm

  Doctoral student: Youssef Mohamed , Robotik, perception och lärande, RPL

  2025-09-26T13:00:00.000+02:00 2025-09-26T13:00:00.000+02:00 Multi-Modal Affective State Detection For Dyadic Interactions Using Thermal Imaging and Context (Public defences of doctoral theses) D37, Lindstedtsvägen 5, Stockholm (KTH, Stockholm, Sweden)Multi-Modal Affective State Detection For Dyadic Interactions Using Thermal Imaging and Context (Public defences of doctoral theses)

• Coordinated Control of FACTS Setpoints Using Reinforcement Learning

  8 Oct

  Public defences of doctoral theses

  Computer Science

  Wednesday 2025-10-08, 13:00

  Location: F3 (Flodis), Lindstedtsvägen 26 & 28

  Video link: https://kth-se.zoom.us/j/65901664759

  Doctoral student: Magnus Tarle , Robotik, perception och lärande, RPL, Hitachi Energy Sweden AB, 721 82 Västerås, Sweden

  2025-10-08T13:00:00.000+02:00 2025-10-08T13:00:00.000+02:00 Coordinated Control of FACTS Setpoints Using Reinforcement Learning (Public defences of doctoral theses) F3 (Flodis), Lindstedtsvägen 26 & 28 (KTH, Stockholm, Sweden)Coordinated Control of FACTS Setpoints Using Reinforcement Learning (Public defences of doctoral theses)

• Improving Spatial Understanding Through Learning and Optimization

  5 Dec

  Public defences of doctoral theses

  Friday 2025-12-05, 13:00

  Location: F3 (Flodis), Lindstedtsvägen 26 & 28, Campus

  Video link: https://kth-se.zoom.us/s/65134312330

  Doctoral student: Leonard Bruns , Robotik, perception och lärande, RPL

  2025-12-05T13:00:00.000+01:00 2025-12-05T13:00:00.000+01:00 Improving Spatial Understanding Through Learning and Optimization (Public defences of doctoral theses) F3 (Flodis), Lindstedtsvägen 26 & 28, Campus (KTH, Stockholm, Sweden)Improving Spatial Understanding Through Learning and Optimization (Public defences of doctoral theses)