Calendar
Mon 12 February - Sun 18 February
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Public defences of doctoral theses
Chemical Engineering
Monday 2024-02-12, 14:00
Location: F3 (Flodis), Lindstedtsvägen 26 & 28, Stockholm
Video link: https://kth-se.zoom.us/meeting/register/u5ctc-iopjgsG93HDPjpY660rOTFbHZKIpzP
Doctoral student: Moritz Streb , Tillämpad elektrokemi
2024-02-12T14:00:00.000+01:00 2024-02-12T14:00:00.000+01:00 Identifying Parameters for Aging-Adaptive Battery Management (Public defences of doctoral theses) F3 (Flodis), Lindstedtsvägen 26 & 28, Stockholm (KTH, Stockholm, Sweden)Identifying Parameters for Aging-Adaptive Battery Management (Public defences of doctoral theses) -
Seminars
Wednesday 2024-02-14, 13:15 - 14:00
Participating: Cicek Cavdar
Location: Lecture hall E2, Osquars backe 2, floor 2
2024-02-14T13:15:00.000+01:00 2024-02-14T14:00:00.000+01:00 Seminar - 6G for Connected Sky (Seminars) Lecture hall E2, Osquars backe 2, floor 2 (KTH, Stockholm, Sweden)Seminar - 6G for Connected Sky (Seminars) -
Public defences of doctoral theses
Aerospace Engineering Engineering Mechanics
Friday 2024-02-16, 10:15
Location: F3 (Flodis), Lindstedtsvägen 26 & 28, Stockholm
Doctoral student: Fermin Mallor , Linné Flow Center, FLOW, Strömningsmekanik och Teknisk Akustik
2024-02-16T10:15:00.000+01:00 2024-02-16T10:15:00.000+01:00 Wings, turbulent boundary layers and flow separation (Public defences of doctoral theses) F3 (Flodis), Lindstedtsvägen 26 & 28, Stockholm (KTH, Stockholm, Sweden)Wings, turbulent boundary layers and flow separation (Public defences of doctoral theses) -
Public defences of doctoral theses
Computer Science
Friday 2024-02-16, 14:00
Location: F3 (Flodis), Lindstedtsvägen 26 & 28, Stockholm
Video link: https://kth-se.zoom.us/j/62347635904
Doctoral student: Wenjie Yin , Robotik, perception och lärande, RPL
2024-02-16T14:00:00.000+01:00 2024-02-16T14:00:00.000+01:00 Developing Data-Driven Models for Understanding Human Motion (Public defences of doctoral theses) F3 (Flodis), Lindstedtsvägen 26 & 28, Stockholm (KTH, Stockholm, Sweden)Developing Data-Driven Models for Understanding Human Motion (Public defences of doctoral theses)