Tidlegare gjesteforelesninger og seminarer - Side 15
Jonas Gahr Sturtzel Lunde, Institute of Theoretical Astrophysics, UiO.
Thomas Nagler is a Professor of Computational Statistics \& Data Science at the Department of Statistics, LMU Munich, and a principal investigator at the Munich Center for Machine Learning (MCML).
Previously, he held positions as an assistant professor at TU Delft and Leiden University, following a PhD in Mathematical Statistics from TU Munich.
His research lies at the intersection of mathematical and computational statistics. His group develops statistical methods, establishes theoretical guarantees, and designs scalable algorithms, which are packaged into user-friendly software. He also regularly collaborates with domain experts to tackle challenges in diverse application areas.
C*-seminar by Ulrik Enstad.
Is There a Relationship Between Excitation-Inhibition Balance and Mismatch Negativity in Healthy People? An EEG-Based Study
Håkon Hoel got his PhD in Numerical Analysis from KTH Stockholm in 2012. He is currently an Associate Professor in Computational Mathematics at the University of Oslo. His main research interests are Monte Carlo methods and numerical methods for stochastic differential equations and data assimilation.
Phylogeny of the Rove Beetle Genus Bledius (Coleoptera: Staphylinidae)
By Muhammed Fatih Sert, Department of Geosciences, UiT The Arctic University of Norway
Heat and mass transfer occurs in several natural flows, as well as in many industries. This process is multiscale by nature: the chemistry at the interfaces affects the macroscopic system behavior (e.g. heat transfer coefficients) and the large-scale flow structures determine the details of the local mass and energy fluxes; as example, multicomponent droplet evaporation displays a complex interplay between density, concentration and temperature gradients. The talk will focus on recent advancements in modelling heat and mass transfer in laminar and turbulent flows. We explore various interface capturing methods, including diffuse-interface and sharp-interface approaches, and their coupling with phase-change models to account for interfacial heat and mass exchange. Specifically, we present a formulation based on the diffuse-interface Baer-Nunziato models, where mass transfer is driven by chemical potential disequilibrium. A pressure-based formulation is employed to mitigate time step restrictions while maintaining complex thermodynamic accuracy. Simulations of evaporative flows will be showcased, comparing the performance of diffuse-interface methods with sharp-interface approaches.
Mirror symmetry predicts that the symplectic geometry of a manifold is equivalent to the complex geometry of the mirror manifold. In particular, enumerative mirror symmetry relates quantum cohomology (Gromov-Witten invariants) of a manifold with period integrals of the mirror. A fundamental question in mirror symmetry is to construct mirrors. I will explain Gross-Siebert's intrinsic mirror symmetry which gives a mirror construction using relative quantum cohomology. More precisely, one considers a maximally unipotent monodromy degeneration of a Calabi—Yau manifold and take proj of the degree zero part of a relative quantum cohomology ring associated with the degeneration. Theta functions form a canonical basis of the degree zero part of the relative quantum cohomology ring. Theta functions can be defined in terms of punctured Gromov-Witten invariants of the broken line type. I will explain a variant of intrinsic mirror symmetry using orbifold Gromov-Witten invariants of root stacks, theta functions for general snc pairs and possible applications to questions in mirror symmetry.
Mikko has been working at Natural Resources Institute Finland (Luke) since 2017.
He finished his PhD on spatial point processes in 2022 (University of Jyväskylä).
Since then Mikko has been working on many kinds of remote sensing, forest inventory and forest planning projects.
Also, during 2015-2016 Mikko was working at the National Institute of Health and Welfare as a data manager.
QOMBINE seminar talk by Anna Pachol (University of South-Eastern Norway)
Tony Mroczkowski, European Southern Observatory (ESO), Germany.
Kjetil Lysne Voje is Associate Professor at the Natural History Museum, UiO.
By Arne Jacobs, School of Biodiversity, One Health, and Veterinary Medicine, University of Glasgow
Swimming microorganisms and artificial microswimmers use environmental cues to influence their dynamics, helping them to improve transport, reach specific flow regions, or avoid harmful conditions. Although plankton navigate turbulent flows in nature, it is poorly understood how they do so efficiently. By combining Reinforcement Learning with analytical perturbation theory, we investigate how microswimmers can sense environmental signals and adjust a few control parameters to navigate turbulent flows. This approach helps identify effective navigation strategies for various tasks. We illustrate this with two key tasks: avoiding high-strain regions and navigating against gravity, both essential for plankton in the ocean.
It is time for our monthly "mingle" meeting. Students and employees at the institute will meet up in the lobby.
Joakim Bergli, Professor in Condensed Matter Physics at the Department of Physics, University of Oslo.
C*-seminar by Nadia Larsen.
Camilla got her PhD in Biostatistics from the University of Cambridge in 2023, where she worked on the development of Bayesian methodology for joint network modelling of high-dimensional data, with applications in autoimmune disease and cancer omics. She is currently a DSTrain Postdoctoral Fellow at The Norwegian Centre for Knowledge-driven Machine Learning Integreat, at the University of Oslo.
QOMBINE seminar by Jonas Eidesen (University of Oslo)