EECS internal calendar
Mon 12 June
-
Lectures and seminars
Mon 2023-06-12 - Wed 2023-06-14
2023-06-12T00:00:00.000+02:00 2023-06-14T23:59:00.000+02:00 Sound and Music Computing Summer School 2023 at KMH Royal College of Music (Lectures and seminars) Sound and Music Computing Summer School 2023 at KMH Royal College of Music (Lectures and seminars) -
Public defences of doctoral theses
Computer Science
Monday 2023-06-12, 10:00
Location: Kollegiesalen, Brinellvägen 8, Stockholm
Video link: https://kth-se.zoom.us/j/64592198901
Doctoral student: Matteo Iovino , Robotik, perception och lärande, RPL
2023-06-12T10:00:00.000+02:00 2023-06-12T10:00:00.000+02:00 Learning Behavior Trees for Collaborative Robotics (Public defences of doctoral theses) Kollegiesalen, Brinellvägen 8, Stockholm (KTH, Stockholm, Sweden)Learning Behavior Trees for Collaborative Robotics (Public defences of doctoral theses) -
Public defences of doctoral theses
Information and Communication Technology
Monday 2023-06-12, 13:00
Location: Sal C, Electrum, Kistagången 16, Kista
Video link: https://kth-se.zoom.us/j/64645889464
Doctoral student: Dagur Ingi Albertsson , Elektronik och inbyggda system
2023-06-12T13:00:00.000+02:00 2023-06-12T13:00:00.000+02:00 Spintronic and Electronic Oscillators for Magnetic Field Sensing and Ising Machines (Public defences of doctoral theses) Sal C, Electrum, Kistagången 16, Kista (KTH, Stockholm, Sweden)Spintronic and Electronic Oscillators for Magnetic Field Sensing and Ising Machines (Public defences of doctoral theses) -
Public defences of doctoral theses
Computer Science
Monday 2023-06-12, 14:00
Location: F3, Lindstedtsvägen 26 & 28, Stockholm
Video link: https://kth-se.zoom.us/j/66725845533
Doctoral student: Federico Baldassarre , Robotik, perception och lärande, RPL
2023-06-12T14:00:00.000+02:00 2023-06-12T14:00:00.000+02:00 Structured Representations for Explainable Deep Learning (Public defences of doctoral theses) F3, Lindstedtsvägen 26 & 28, Stockholm (KTH, Stockholm, Sweden)Structured Representations for Explainable Deep Learning (Public defences of doctoral theses)