Tidlegare arrangement - Side 60

Dr. Jotun Hein, Professor, Department of Statistics, University of Oxford, will present his research on "Algorithms for Recombination Detection with an Application to SARS CoV-2."

By Ian Barnes from the Natural History Museum, London, UK

Title: The impact of secondary ice production on clouds and climate

Speaker: Georgia Sotiropoulou , EPFL

Welcome to our weekly lunch seminar held in the dScience lounge area! This event is open to PhD candidates and postdocs.

"Studies of interaction between the Vibrio cholerae colonization factor GbpA and chitin using NMR spectroscopy and electron microscopy imaging"

Floods during the last millennium - analysis of trends and the uniqueness of Storofsen in 1789: A case study for two snowmelt dominated catchments in south-eastern Norway

On the Homogeneity of Arctic Mixed-Phase Clouds

Mikkel Jensen: 

Various theoretical models and experimental results propose different governing mechanisms for friction at the nanoscale. We consider a graphene sheet modified with Kirigami-inspired cuts and under the influence of strain. Prior research has demonstrated that this system exhibits out-of-plane buckling, which may cause a decrease in contact area when sliding on a substrate.

According to asperity theory, such a decrease in contact area is expected to reduce friction. However, to the best of our knowledge, no previous studies have investigated the frictional behavior of a nanoscale Kirigami graphene sheet subjected to strain.

William Hirst: 

This thesis explores a diverse array of Machine Learning (ML) models as they search for chargino-neutralino pair production in three-lepton final states with missing transverse momentum. The study is based on a data set of sqrt(s) = 13 TeV proton-proton collisions recorded with the ATLAS detector at the LHC, corresponding to an integrated luminosity of 139 fb−1. The ML models applied in the study were three variants of Deep Neural Networks (DNN), and Boosted Decision Trees (BDT). The DNN variants included an ordinary dense Neural Network (NN), Parameterized Neural Network (PNN) and ensemble models utilizing pattern-specific pathways created by competing neurons. In the latter variant I included a novel layer introduced in this thesis, the Stochastic-Channel-Out (SCO).

A flexible predictive density combination is introduced for large financial data sets which allows for model set incompleteness. Dimension reduction procedures that include learning allocate the large sets of predictive densities and combination weights to relatively small subsets.  Given the representation of the probability model in extended nonlinear state-space form, efficient simulation-based Bayesian inference is proposed using parallel dynamic clustering as well as nonlinear filtering, implemented on graphics processing units. The approach is applied to combine predictive densities based on a large number of individual US stock returns of daily observations over a period that includes the Covid-19 crisis period.  Evidence on dynamic cluster composition, weight patterns and model set incompleteness gives valuable signals for improved modelling. This enables higher predictive accuracy and better assessment of uncertainty and risk for investment fund management.

"Meson production from phantom energy close to the Big Rip"

Tittel: Computation of Life Insurance Reserves under Fractional Hull-White Interest Rates

Tittel: Autoregressive Generative Models with Applications to Super Resolution

Welcome to the Book launch: Technology research explained, with Ketil Stølen.

Test av vimentin og 𝛼-SMA som markører for fibroseutvikling og undersøkelse av om TGF-𝛽3 kan beskytte mot stråleindusert fibrose

Assessing fluid migration around fault in the Aurora CO2 storage site, combining seismic analysis and outcrop data

Welcome to the next seminar of the semester, where we will host a talk by Krubeal Danieli (PhD candidate, Fyhn Group, FYSCELL, IBV).

Every second Tuesday, CBA members gather for lunch and a talk. On May 30th 2023, we have a presentation given by CBA professor Dag O. Hessen.

Top seal variability of potential CO2 storage sites on the northern Horda Platform

Doctoral candidate Samiran Sen at the Department of Chemistry, Faculty of Mathematics and Natural Sciences, is defending the thesis "Advances in Hamiltonian Hybrid Particle—Field Theory: Improving the description of interfacial systems" for the degree of Philosophiae Doctor.

Quantification of wildfires in North American permafrost domain, based on the MODIS Fire product

Assessing the Shyft Modelling Framework in Nepal: Impact of Snow Routines and Terrain Representation on Simulated Water Balance Components

Welcome to our GEOHYD Lunch Seminar Friday 26th of May @ 12:15 in Aud. 2, Geology building, or via video link using Zoom. The seminar is held by Junbin Zhao (NIBIO).