Oskar Keding is a Ph.D. student at Mathematical Statistics at the Centre for Mathematical Sciences, Lund University. He received the M.Sc. Eng. Phys. degree in 2021.

Research interests include statistical signal processing, time-frequency analysis, modelling of human hearing and electroencephalography. The Ph.D. project Oskar is connected to is called "Brain-Based Monitoring of Sound". It has with aim to track and understand human listening in complex listening situations. One such situation is the cocktail-party scenario, where listeners are attending one of many different, equally loud, simulatenous speakers. Methodology applied to reach this aim, is relating measured scalp-level electroencephalograms at the point of listening of human subjects with the attended (and unattended) speech features. This system is highly complex and introduces multiple unwanted aspects regarding high levels of noise, unknown physiological models of the cognitive aspects of listening and more. These aspects need to be taken into consideration when creating methods for tracking and understand how humans hear and listen.