Postgraduate Research Student
Email: email@example.comRoom Number: Mathematical Sciences Building, Room: MB-402
PhD Supervisor: Prof. Vito Latora, Georg von Graevenitz, Athen Ma and Giacomo Livan
The research interest during Ye's Ph.D. focuses on innovation networks and interdisciplinary research in publishing and funding science. She mainly works on the following questions:
- Developing a quantitative framework to extract significant dependencies among scientific disciplines and turn them into a time-varying network whose nodes are the different fields, while the weighted links represent the flow of knowledge from one field to another at a given period of time.
- Quantifying the scientific competitiveness of research universities based on a dataset of research grants obtained by each university in different research subjects.
- Exploring the behavior of interdisciplinary investigators who have secured funding from multiple research councils and how this behavior influences their research outputs and future funding performance.
- Demonstrator - MTH6142 Complex Networks - Semester II 2017-2018
- Demonstrator - MTH6134 Statistical Modelling II - Semester I 2018-2019
- Teaching Assistant - MTH6136 Statistical Theory - Semester II 2018-2019
- Demonstrator - MTH6101 Introduction to Machine Learning - Semester I 2019-2020
- Demonstrator - MTH5120 Statistical Modelling I - Semester I 2019-2020
- Teaching Assistant - MTH4107 - Introduction to Probability - Semester I 2019-2020
- Teaching Assistant -MTH4116/MTH4216 - Probability and Statistics I - Semester II 2020-2021
- Sun, Y., Latora, V. The evolution of knowledge within and across fields in modern physics. Sci Rep 10, 12097 (2020). https://doi.org/10.1038/s41598-020-68774-w
- Sun, Y., Ma, L., Zeng, A. et al. Spreading to localized targets in complex networks. Sci Rep 6, 38865 (2016). https://doi.org/10.1038/srep38865