Lunch Seminar Series

The Lunch Seminar Series (LSS) is a monthly event hosted by the Department of Mathematical Sciences at Aalborg University. The series is aimed to provide a platform to present and discuss research in a more casual setting.

The seminars are held on a Friday from 12:15 to 13:00 at the latest but usually end earlier. The event is open to everyone, you only need to bring your lunch and enjoy the presentations.

The LSS is organized by Eduardo Vera-Valdés. If you are interested in presenting your work, please use this email. Currently, we are accepting volunteers for the fall 2025 semester.

Upcoming Seminars

Date Place Speaker Title
TBD TMV23 1.238 Martin Voigt Vejling TBA
TBD TMV23 1.238 Christophe Biscio TBA
TBD TMV23 1.238 Mikkel Hviid Thorn TBA
TBD TMV23 1.238 Martin Scotti TBA

Past Seminars

Date Speaker Title
2025-11-28 J. Eduardo Vera-Valdés Global Warming Acceleration
2025-10-31 Jakob Gulddahl Rasmussen TBA
2025-09-26 Esben Høg Negative electricity prices and the mathematics of a new class of extended hyperbolic sine functions
2025-09-12 Daniel Rolandsgard Kjellevold, Norwegian University of Science and Technology Features on fluid surfaces as point patterns
2025-08-29 Kasper Sørensen What is “Bulk-edge correspondence”?
2025-05-23 Ib Thorsgaard Jensen Compositional Approximation of Correlation Coefficients for Microbiome Data with Applications on Atopic Dermatitis
2025-04-25 Mikkel Runason Simonsen Hematological Research: A Statisticians Perspective
2025-03-28 Mikkel Meyer Andersen Shotgun sequencing: Evidential weight accounting for errors
2025-02-28 Torben Tvedebrink, Vestas Modelling wind turbine performance in cold climates
2024-12-13 Oliver Matte A polaron in a weak magnetic field
2024-11-22 Rasmus Waagepetersen Multivariate
2024-10-25 Anne Marie Svane Normal Approximation for Geometric Functionals of Gibbs Point Processes
2024-10-04 J. Eduardo Vera-Valdés The Story of 1.5°C: Obtaining the Probability of Breaching the Goals of the Paris Agreement
2024-08-30 Julia Jansson, Chalmers University of Technology Comparison of Point Process Learning and its special case Takacs-Fiksel estimation
2024-05-24 Charisios Grivas Automated Bandwidth Selection for Inference in Linear Models with Time-Varying Coefficients
2024-04-26 Orimar Sauri The Euler Scheme for Stochastic Delay Differential Equations with Gaussian additive noise: Convergence and Asymptotic Error Distribution