Public defences of doctoral theses

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Upcoming calendar events:

• Modelling and Lagrangian control of mixed traffic: platoon coordination, congestion dissipation and state reconstruction

  12 Mar

  Public defences of doctoral theses

  Electrical Engineering

  Friday 2021-03-12, 16:00

  Location: zoom (English)

  Doctoral student: Mladen Čičić , Reglerteknik

  2021-03-12T16:00:00.000+01:00 2021-03-12T16:00:00.000+01:00 Modelling and Lagrangian control of mixed traffic: platoon coordination, congestion dissipation and state reconstruction (Public defences of doctoral theses) zoom (English) (KTH, Stockholm, Sweden)Modelling and Lagrangian control of mixed traffic: platoon coordination, congestion dissipation and state reconstruction (Public defences of doctoral theses)

• Creep modeling and first-principles investigation of high-temperature alloys

  15 Mar

  Public defences of doctoral theses

  Materials Science and Engineering

  Monday 2021-03-15, 09:00

  Location: https://kth-se.zoom.us/j/66589542927, Stockholm (English)

  Doctoral student: Jing Zhang , Egenskaper

  2021-03-15T09:00:00.000+01:00 2021-03-15T09:00:00.000+01:00 Creep modeling and first-principles investigation of high-temperature alloys (Public defences of doctoral theses) https://kth-se.zoom.us/j/66589542927, Stockholm (English) (KTH, Stockholm, Sweden)Creep modeling and first-principles investigation of high-temperature alloys (Public defences of doctoral theses)

• Mobile Network Operator Collaboration using Deep Reinforcement Learning

  15 Mar

  Public defences of doctoral theses

  Machine Design

  Monday 2021-03-15, 13:00

  Location: https://kth-se.zoom.us/j/65558254589, (English)

  Doctoral student: Athanasios Karapantelakis , Maskinkonstruktion (Inst.)

  2021-03-15T13:00:00.000+01:00 2021-03-15T13:00:00.000+01:00 Mobile Network Operator Collaboration using Deep Reinforcement Learning (Public defences of doctoral theses) https://kth-se.zoom.us/j/65558254589, (English) (KTH, Stockholm, Sweden)Mobile Network Operator Collaboration using Deep Reinforcement Learning (Public defences of doctoral theses)