Public defences of doctoral theses
Sun 28 May
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Upcoming calendar events:
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Public defences of doctoral theses
Machine Design
Monday 2023-05-29, 13:00
Location: F3, Lindstedtsvägen 26 & 28, Stockholm
Video link: https://kth-se.zoom.us/j/68692607321
Doctoral student: Xin Tao , Mekatronik och inbyggda styrsystem, Integrated Transport Research Lab, ITRL
2023-05-29T13:00:00.000+02:00 2023-05-29T13:00:00.000+02:00 Application of Integrated Vehicle Health Management in Automated Decision-making for Driverless Vehicles (Public defences of doctoral theses) F3, Lindstedtsvägen 26 & 28, Stockholm (KTH, Stockholm, Sweden)Application of Integrated Vehicle Health Management in Automated Decision-making for Driverless Vehicles (Public defences of doctoral theses) -
Public defences of doctoral theses
Machine Design Optimization and Systems Theory Industrial Information and Control Systems
Wednesday 2023-05-31, 13:30
Location: Gladan, Brinellvägen 85, Stockholm
Video link: https://kth-se.zoom.us/j/68364433509
Doctoral student: PhD Candidate Tong Liu , Mekatronik och inbyggda styrsystem
2023-05-31T13:30:00.000+02:00 2023-05-31T13:30:00.000+02:00 Computationally Efficient and Adaptive Energy Management Strategies for Parallel Hybrid Electric Vehicles (Public defences of doctoral theses) Gladan, Brinellvägen 85, Stockholm (KTH, Stockholm, Sweden)Computationally Efficient and Adaptive Energy Management Strategies for Parallel Hybrid Electric Vehicles (Public defences of doctoral theses) -
Public defences of doctoral theses
Vehicle and Maritime Engineering
Thursday 2023-06-01, 10:00
Location: F3, Lindstedtsvägen 26 & 28, Stockholm
Video link: https://kth-se.zoom.us/j/68259826119
Doctoral student: Rohan Kulkarni , Teknisk mekanik, Järnvägsgruppen, JVG
2023-06-01T10:00:00.000+02:00 2023-06-01T10:00:00.000+02:00 Onboard condition monitoring of vehicle-track dynamic interaction using machine learning (Public defences of doctoral theses) F3, Lindstedtsvägen 26 & 28, Stockholm (KTH, Stockholm, Sweden)Onboard condition monitoring of vehicle-track dynamic interaction using machine learning (Public defences of doctoral theses)