Daokun Zhang received his PhD degree in data science from University of Technology Sydney (UTS) in November 2019. Dr Zhang is now an Assistant Professor at School of Computer Science, University of Nottingham Ningbo China (UNNC) since February 2024. Before that, Dr Zhang worked as a Research Fellow/Lecturer at Department of Data Science and AI, Monash University (QS: 37), from April 2021 to January 2024, and a Postdoctoral Research Associate at The University of Sydney (QS: 18), from June 2019 to April 2021.

Dr Zhang’s research focuses on graph machine learning, specifically on studying problems related to graph representation learning, graph structure learning, node classification, and link prediction, etc. Additionally, Dr Zhang applies graph machine learning techniques to solve real-world problems across different disciplines, including knowledge graph completion and alignment, combinatorial optimization, computational material and drug discovery, particle system simulation, and geographic data forecasting.

Recently, Dr Zhang is interested in exploring the following research topics:

1. Weakly supervised learning with sparse/noisy labels
2. Uncertainty quantification for machine learning predictions
3. Next-generation Graph Neural Networks beyond feature smoothing

Dr Zhang is always open to internal and external research collaborations. If you want to work with Dr Zhang for a Master/PhD program or collaborative research, please feel free to drop an email to daokun.zhang@nottingham.edu.cn.

COMP4130 Linear and Discrete Optimization

COMP4131 Data Modelling and Analysis