Calendar
Wed 12 June
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Conference
Mon 2024-06-10, 10:00 - Fri 2024-06-14, 12:00
Location: Zoom
Video link: Meeting ID: 921 756 1880
2024-06-10T10:00:00.000+02:00 2024-06-14T12:00:00.000+02:00 Quantum Dynamics and Spectral Theory (Conference) Zoom (KTH, Stockholm, Sweden)Quantum Dynamics and Spectral Theory (Conference) -
Conference
Tue 2024-06-11, 09:30 - Thu 2024-06-13, 16:30
Location: Albano, House 1, Lärosal 4
2024-06-11T09:30:00.000+02:00 2024-06-13T16:30:00.000+02:00 Workshop: Homotopy theory in Stockholm (Conference) Albano, House 1, Lärosal 4 (KTH, Stockholm, Sweden)Workshop: Homotopy theory in Stockholm (Conference) -
Degree project
Wednesday 2024-06-12, 08:00 - 09:00
Participating: Daniel Martling
Location: Cramer room
Respondent: Daniel Martling
2024-06-12T08:00:00.000+02:00 2024-06-12T09:00:00.000+02:00 Daniel Martling: Introduction to Representation Theory of Finite Groups (Degree project) Cramer room (KTH, Stockholm, Sweden)Daniel Martling: Introduction to Representation Theory of Finite Groups (Degree project) -
Degree project
Wednesday 2024-06-12, 10:00 - 11:00
Participating: Armin Novin
Location: Cramer room
Respondent: Armin Novin
2024-06-12T10:00:00.000+02:00 2024-06-12T11:00:00.000+02:00 Armin Novin: A Classification of Certain Finite Groups (Degree project) Cramer room (KTH, Stockholm, Sweden)Armin Novin: A Classification of Certain Finite Groups (Degree project) -
Seminar, Combinatorics
Wednesday 2024-06-12, 10:15 - 11:15
Location: Room 3418
2024-06-12T10:15:00.000+02:00 2024-06-12T11:15:00.000+02:00 Luis Ferroni: The Chow polynomial of a poset (Seminar, Combinatorics) Room 3418 (KTH, Stockholm, Sweden)Luis Ferroni: The Chow polynomial of a poset (Seminar, Combinatorics) -
Seminar, Scientific Machine Learning
Wednesday 2024-06-12, 10:30 - 11:30
Participating: Predrag Cvitanović (University of Washington)
Location: Digital Futures Hub, Osquars Backe 5, floor 2
2024-06-12T10:30:00.000+02:00 2024-06-12T11:30:00.000+02:00 Predrag Cvitanović: Turbulence in spacetime (Seminar, Scientific Machine Learning) Digital Futures Hub, Osquars Backe 5, floor 2 (KTH, Stockholm, Sweden)Predrag Cvitanović: Turbulence in spacetime (Seminar, Scientific Machine Learning) -
Seminar, Analysis Stockholm
Wednesday 2024-06-12, 11:00 - 12:00
Participating: Hans Ringström (KTH)
Location: Albano, house 1, floor 3, Cramérrummet
2024-06-12T11:00:00.000+02:00 2024-06-12T12:00:00.000+02:00 Hans Ringström: Formation of quiescent big bang singularities (Seminar, Analysis Stockholm) Albano, house 1, floor 3, Cramérrummet (KTH, Stockholm, Sweden)Hans Ringström: Formation of quiescent big bang singularities (Seminar, Analysis Stockholm) -
Degree project
Wednesday 2024-06-12, 12:30 - 13:30
Participating: Therese Bolid
Location: Cramer room
Respondent: Therese Bolid
2024-06-12T12:30:00.000+02:00 2024-06-12T13:30:00.000+02:00 Therese Bolid: Kryptografins Gränser: En Teoretisk och Praktisk Jämförelse av Moderna Algoritmer (Degree project) Cramer room (KTH, Stockholm, Sweden)Therese Bolid: Kryptografins Gränser: En Teoretisk och Praktisk Jämförelse av Moderna Algoritmer (Degree project) -
Dissertation
Wednesday 2024-06-12, 13:00
Participating: Dongni Zhang (SU)
Location: Albano campus, hörsal 4, house 2
Doctoral student: Dongni Zhang , Department of Mathematics, Stockholm University
2024-06-12T13:00:00.000+02:00 2024-06-12T13:00:00.000+02:00 Dongni Zhang: Stochastic epidemic models with contact tracing (Dissertation) Albano campus, hörsal 4, house 2 (KTH, Stockholm, Sweden)Dongni Zhang: Stochastic epidemic models with contact tracing (Dissertation) -
Seminar, Scientific Machine Learning
Wednesday 2024-06-12, 13:30 - 14:30
Participating: Sebastian Kaltenbach (Harvard University)
Location: Digital Futures Hub, Osquars Backe 5, floor 2
2024-06-12T13:30:00.000+02:00 2024-06-12T14:30:00.000+02:00 Sebastian Kaltenbach: Physics-aware reduced order modelling for forecasting the dynamics of high dimensional systems (Seminar, Scientific Machine Learning) Digital Futures Hub, Osquars Backe 5, floor 2 (KTH, Stockholm, Sweden)Sebastian Kaltenbach: Physics-aware reduced order modelling for forecasting the dynamics of high dimensional systems (Seminar, Scientific Machine Learning)