EE Calendar

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Upcoming calendar events:

• Modeling and Control of Electrical Multiphase Machines for Pole-Transition and Fault-Tolerance

  22 Nov

  Public defences of doctoral theses

  Electrical Engineering

  Friday 2024-11-22, 10:00

  Location: Kollegiesalen, Brinellvägen 8, Stockholm

  Video link: https://kth-se.zoom.us/s/66083589945

  Doctoral student: Yixuan Wu , Elkraftteknik, EMD

  2024-11-22T10:00:00.000+01:00 2024-11-22T10:00:00.000+01:00 Modeling and Control of Electrical Multiphase Machines for Pole-Transition and Fault-Tolerance (Public defences of doctoral theses) Kollegiesalen, Brinellvägen 8, Stockholm (KTH, Stockholm, Sweden)Modeling and Control of Electrical Multiphase Machines for Pole-Transition and Fault-Tolerance (Public defences of doctoral theses)

• Impedance Analysis and Stability Assessment of Modular Multilevel Converters

  16 Dec

  Public defences of doctoral theses

  Electrical Engineering

  Monday 2024-12-16, 10:00

  Location: H1, Teknikringen 33, Stockholm

  Doctoral student: Mehrdad Nahalparvari , Elkraftteknik, Power Electronics

  2024-12-16T10:00:00.000+01:00 2024-12-16T10:00:00.000+01:00 Impedance Analysis and Stability Assessment of Modular Multilevel Converters (Public defences of doctoral theses) H1, Teknikringen 33, Stockholm (KTH, Stockholm, Sweden)Impedance Analysis and Stability Assessment of Modular Multilevel Converters (Public defences of doctoral theses)

• Scalable hardware solutions for machine learning: FPGA implementation and methodology analysis

  16 Dec

  Public defences of doctoral theses

  Electrical Engineering

  Monday 2024-12-16, 13:00

  Location: Kista Sal C, Kistagången 16, 164 40 Kista

  Video link: https://kth-se.zoom.us/j/66637479462

  Doctoral student: Gracieth Batista , Elektronik och inbyggda system, Aeronautics Institute of Technology, São José dos Campos, Brasil

  2024-12-16T13:00:00.000+01:00 2024-12-16T13:00:00.000+01:00 Scalable hardware solutions for machine learning: FPGA implementation and methodology analysis (Public defences of doctoral theses) Kista Sal C, Kistagången 16, 164 40 Kista (KTH, Stockholm, Sweden)Scalable hardware solutions for machine learning: FPGA implementation and methodology analysis (Public defences of doctoral theses)