Research output per year
Research output per year
Personal profile
Biography
Before joining Edinburgh, I was a Lecturer in Computer Science at the University of Exeter. In the previous, I worked as a research fellow in the Department of Informatics, University of Sussex during the period 2017 - 2019, and as a postdoc in the Department of Computer Science, University of Exeter during the period 2019 - 2020.
Research Interests
My research interests focus on probabilistic machine modelling and non-parametric Bayesian predictive methods such as Gaussian Process and Student-t Process modelling. As their applications, I also have expertise in time series prediction, financial data analysis, algorithmic fairness, and human mobility.
Websites
Education/Academic qualification
Mathematics, Doctor of Philosophy (PhD), Gaussian process regression methods and extensions for stock market prediction, University of Leicester
Research Themes and Networks
- Work & Economy
- Energy & Sustainability
- Data & Digital
- Future Cities
- Identities & Inequalities
Fingerprint
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Dynamic predictability and activity-location contexts in human mobility
Poudyal, B., Pacheco, D., Oliveira, M., Chen, Z., Barbosa, H. S., Menezes, R. & Ghoshal, G., 4 Sept 2024, In: Royal Society Open Science. 11, 9, p. 1-11 11 p., 240115.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Multivariate Gaussian processes: Definitions, examples and applications
Chen, Z., Fan, J. & Wang, K., Aug 2023, In: METRON. 81, 2, p. 181-191 11 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Contrasting social and non-social sources of predictability in human mobility
Chen, Z., Kelty, S., Evsukoff, A. G., Welles, B. F., Bagrow, J., Menezes, R. & Ghoshal, G., Dec 2022, In: Nature Communications. 13, 1, 1922.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
A missing sensor measurement data reconstruction framework powered by multi-task Gaussian process regression for dam structural health monitoring systems
Li, Y., Bao, T., Chen, Z., Gao, Z., Shu, X. & Zhang, K., Dec 2021, In: Measurement: Journal of the International Measurement Confederation. 186, 110085.Research output: Contribution to journal › Article › peer-review
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A large-scale sensor missing data imputation framework for dams using deep learning and transfer learning strategy
Li, Y., Bao, T., Chen, H., Zhang, K., Shu, X., Chen, Z. & Hu, Y., Jun 2021, In: Measurement: Journal of the International Measurement Confederation. 178, 14 p., 109377.Research output: Contribution to journal › Article › peer-review
Activities
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Conference on Network Science 2025
Chen, Z. (Speaker)
2 Jun 2025 → 6 Jun 2025Activity: Participating in or organising an event types › Participation in conference
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Silesian University in Opava
Chen, Z. (Chair)
24 Apr 2023 → 28 Apr 2023Activity: Visiting an external institution types › Visiting an external academic institution
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Royal Statistical Society (External organisation)
Chen, Z. (Advisor)
2018Activity: Membership types › Membership of network
Projects
- 4 Finished
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Levelling up in AI-powered Smart City
Chen, Z. (Principal Investigator)
1/08/23 → 30/06/24
Project: Research
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Determinants of Collaboration level on Github
Wang, T. (Principal Investigator) & Chen, Z. (Co-investigator)
1/04/23 → 31/03/24
Project: Research
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Determinants of Collaboration level on Github
Wang, T. (Principal Investigator) & Chen, Z. (Co-investigator)
1/04/23 → 31/03/24
Project: Research
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Interpretable and Scalable DataDriven Models in Financial Time Series Analysis
Chen, Z. (Principal Investigator) & Shi, H. (Principal Investigator)
1/12/21 → 30/06/22
Project: Research