Title:	General PhD research project for WASP funded student
DNr:	Berzelius-2023-30
Project Type:	LiU Berzelius
Principal Investigator:	Daniel Gedon <daniel.gedon@it.uu.se>
Affiliation:	Uppsala universitet
Duration:	2023-02-13 – 2023-09-01
Classification:	10201
Homepage:	https://mp.uu.se/web/profilsidor/start/-/emp/N19-1795
Keywords:

Abstract

This project will support the experiments for projects in three main directions: (1) theory of deep learning. Here, we develop new theories and try to verify this on experimental benchmark data. (2) identification of dynamic systems with deep learning. Here, we use temporal data from a dynamic system and try to identify the underlying properties such that we can simulate the system based on our model. (3) enhancement of prediction models from electrocardiography (ECG) data. Here, we develop new prediction models to improve the robustness and accuracy of medical diagnosis. Only publicly available benchmark data will be used on this cluster for this part.