Defense of dissertation
Tue 19 May - Thu 31 December
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Public defences of doctoral theses
Electrical Engineering
Friday 2020-05-29, 15:00
Location: Zoom (English)
Doctoral student: Christos Verginis , Reglerteknik
2020-05-29T15:00:00.000+02:00 2020-05-29T15:00:00.000+02:00 Planning and Control of Uncertain Cooperative Mobile Manipulator-Endowed Systems under Temporal Logic Tasks (Public defences of doctoral theses) Zoom (English) (KTH, Stockholm, Sweden)Planning and Control of Uncertain Cooperative Mobile Manipulator-Endowed Systems under Temporal Logic Tasks (Public defences of doctoral theses) -
Public defences of doctoral theses
Electrical Engineering
Tuesday 2020-06-02, 09:00
Doctoral student: Robert Mattila , Reglerteknik
2020-06-02T09:00:00.000+02:00 2020-06-02T09:00:00.000+02:00 Hidden Markov Models: Identification, Inverse Filtering and Applications (Public defences of doctoral theses) zoomlänk för disputation: https://kth-se.zoom.us/webinar/register/WN_94cOBU56TluzJktLxD9ZAQ (English) (KTH, Stockholm, Sweden)Hidden Markov Models: Identification, Inverse Filtering and Applications (Public defences of doctoral theses) -
Public defences of doctoral theses
Electrical Engineering
Friday 2020-06-12, 14:00
Location: Disputation in Zoom: https://kth-se.zoom.us/webinar/register/WN_Atk97qAwS9OiEW8dTC0Fyg (English)
Doctoral student: Manne Held , Reglerteknik
2020-06-12T14:00:00.000+02:00 2020-06-12T14:00:00.000+02:00 Fuel-Efficient Look-Ahead Control for Heavy-Duty Vehicles with Varying Velocity Demands (Public defences of doctoral theses) Disputation in Zoom: https://kth-se.zoom.us/webinar/register/WN_Atk97qAwS9OiEW8dTC0Fyg (English) (KTH, Stockholm, Sweden)Fuel-Efficient Look-Ahead Control for Heavy-Duty Vehicles with Varying Velocity Demands (Public defences of doctoral theses) -
Public defences of doctoral theses
Electrical Engineering
Wednesday 2020-10-14, 14:00
Location: F3, Lindstedtsvägen 26, KTH Campus, Stockholm
Doctoral student: Xinlei Yi , Reglerteknik
2020-10-14T14:00:00.000+02:00 2020-10-14T14:00:00.000+02:00 Distributed Optimization and Control (Public defences of doctoral theses) F3, Lindstedtsvägen 26, KTH Campus, Stockholm (KTH, Stockholm, Sweden)Distributed Optimization and Control (Public defences of doctoral theses) -
Public defences of doctoral theses
Electrical Engineering
Friday 2020-10-16, 15:00
Doctoral student: Lars Lindemann , Reglerteknik, Division of Decision and Control Systems
2020-10-16T15:00:00.000+02:00 2020-10-16T15:00:00.000+02:00 Planning and Control of Multi-Agent Systems under Signal Temporal Logic Specifications (Public defences of doctoral theses) zoom link for online defence. If you lack a computer or computer skills, please contact kallej@kth.se for information. (English) (KTH, Stockholm, Sweden)Planning and Control of Multi-Agent Systems under Signal Temporal Logic Specifications (Public defences of doctoral theses) -
Public defences of doctoral theses
Electrical Engineering
Friday 2020-12-04, 09:00
Location: F3, Lindstedtsvägen 26, KTH Campus, Stockholm, Stockholm (English)
Doctoral student: Yulong Gao , Reglerteknik
2020-12-04T09:00:00.000+01:00 2020-12-04T09:00:00.000+01:00 Safe Autonomy under Uncertainty: Computation, Control, and Application (Public defences of doctoral theses) F3, Lindstedtsvägen 26, KTH Campus, Stockholm, Stockholm (English) (KTH, Stockholm, Sweden)Safe Autonomy under Uncertainty: Computation, Control, and Application (Public defences of doctoral theses) -
Public defences of doctoral theses
Electrical Engineering
Wednesday 2020-12-09, 16:00
Location: zoom link for online defence (English)
Doctoral student: Dominik Baumann , Reglerteknik, Max Planck Institute for Intelligent Systems, Division of Decision and Control Systems
2020-12-09T16:00:00.000+01:00 2020-12-09T16:00:00.000+01:00 Learning and Control Strategies for Cyber-physical Systems: From Wireless Control over Deep Reinforcement Learning to Causal Identification (Public defences of doctoral theses) zoom link for online defence (English) (KTH, Stockholm, Sweden)Learning and Control Strategies for Cyber-physical Systems: From Wireless Control over Deep Reinforcement Learning to Causal Identification (Public defences of doctoral theses)