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Research activity per year

Personal profile

Research Interests

Network neuroscience - signal processing - machine learning - graph inference

  • Functional connectivity models
  • Graph classification and embedding
  • Graph neural network

Master's Project

Energy landscape of Alzheimer's disease EEG - prediction

PhD Project

Joint research project of Coventry University and A*STAR, Singapore: Network Inference And Machine Learning: Identification Of Neurodegenerative Diseases

Supervised by Dr Fei He (Coventry University) and Dr Min Wu (A*STAR)

The human brain is a complex system comprised of many interacting components. In this project, the tools from graph theory and graph deep learning are leveraged to model the structure and function of the brain captured via electroencephalography (EEG) signals. The developed models can then be used to predict the presence of neurodegenerative disease and interpret the changes in the brain networks caused by the disease.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being

Education/Academic qualification

Data science and computational intelligence, MSc, Coventry University

15 Sept 201911 Sept 2020

Award Date: 11 Sept 2020

Cognitive Science, Degree, Aarhus University

1 Sept 201630 May 2019

Award Date: 30 May 2019


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