Prior to joining the City University of Hong Kong at the end of July 2024, Zudi Lu was working with the University of Southampton as a Professor/Chair in Statistics from late 2013 to July 2024 in the UK. He had also worked at international and domestic academic institutions with the University of Adelaide (2009-2013) and Curtin University (2006-2009) in Australia, the London School of Economics (2003-2006) in the UK, the Academy of Mathematics and Systems Science (1997-2003) in Beijing, China, and the Universite Catholique de Louvain (1996-1997) in Belgium after receiving his PhD degree in Statistics in 1996 from the Chinese Academy of Sciences (1993-1996), and worked with the Southeast University (1991-1993) in Nanjing, China, after obtaining his MSc degree in Statistics in 1991 also from the Chinese Academy of Sciences (1988-1991). He received his BSc degree in Mathematics from Zhejiang Normal University in 1988. His research interests include: Statistical inference & computation for dynamic modeling with statistical (deep) learning, (causal) reasoning and prediction of nonlinear spatial/temporal (tensor) big data; Nonlinear time series modeling and financial statistics / econometrics; Medical/health Statistics; Applied temporal/spatial modeling for risk analysis; Non-parametric/semi-parametric and machine learning methods.
Zudi was a recipient of the Australian Research Council Future Fellowship Award as an Australian Future Fellow (the Australian Distinguished Young Scientist Fund, with Zudi the first winner of this prestigious award in the School of Mathematical Sciences at the University of Adelaide) in its 2010 round and the Marie Curie Actions (People) Career Integration Grant Award as a Marie Curie Fellow from the European Commission in 2014. He was also a joint recipient of a Key Project fund award from the National Natural Science Foundation of China in 2000. He is an elected member of the International Statistical Institute. He is currently an Associate Editor with the international journals, "Journal of Time Series Analysis" (Wiley), "Environmental Modeling and Assessment" (Springer) and "Research in Mathematics" (Taylor) (Senior Editor responsible for the statistical section) and as a foreign editorial board member for the Chinese journal "Systems Engineering - Theory & Practice”.
Awards and Achievements
- 2013 “Elected Member ” International Statistical Institute.
- 2014 “Marie Curie Fellow (Marie Curie Actions -Career integration grant)” EU Research Executive Agency.
- 2010 “Australian Future Fellow (ARC Future Fellowship)” Australian Research Council.
- 2010 “School Head’s Teaching Award” School of Mathematical Sciences, The University of Adelaide, Australia.
- 2011 “School Head’s Teaching Award” School of Mathematical Sciences, The University of Adelaide, Australia.
- 2001 “The first-time Guan Zhaozhi Young Researcher Award” Institute of Systems Science, Chinese Academy of Sciences.
- 1996 “Presidential Award” Chinese Academy of Sciences.
- 1996 “Yilida's Award” Chinese Academy of Sciences.
Previous Experience
- 2013 - 2024, Professor/Chair in Statistics (Level E), University of Southampton. (He was the only professor of Statistics with the official title of 'Chair in Statistics').
- 2009 - 2013, Associate Professor/Reader in Statistics (Level D), University of Adelaide.
- 2006 - 2009, Lecturer (Level B) and then Associate Professor/Reader (Level D), Curtin University. (He became Associate Professor/Reader (Level D) since Oct. 2008).
- 2003 - 2006, Leverhulme Research Officer in Statistics, London School of Economics.
- 1997 - 2003, Associate Professor, Academy of Mathematics and Systems Science, Chinese Academy of Sciences. (He worked with the Key Laboratory of Management Decision and Information Systems of the Chinese Academy of Sciences in the Institute of Systems Science.).
- 1996 - 1997, Postdoctoral Research Fellow, Universite Catholique de Louvain.
- 1991 - 1993, Associate Lecturer, Southeast University.
Research Grants
- Theory for Modeling and Forecasting of Interval Data from the Information Fusion Perspective and Its Applications , National Natural Science Foundation of China, 2020 - 2023, Wei Yang (PI, Shanxi University), Zudi Lu (Co-I, International).
- Verification and Implementation of novel electronic water treatment to promote wider social and economic impact, Impact Acceleration Account, Economic and Social Research Council, UK, 2019 - 2020, Lindsay-Marie Armstrong (PI), Zudi Lu (Co-I).
- Modelling Socio-economic Networks by Novel Spatial Econometric Models, British Academy/Leverhulme Trust, 2017 - 2019, Maria Kyriakou (PI), Zudi Lu (Co-I).
- Optimization Methods for Big Data, The Royal Society, 2017 - 2019, Houduo Qi (PI), Zudi Lu (Co-I).
- Advance Challenging Statistical Analysis for Massive High-Dimensional Nonlinear Spatial Time Series, Marie Curie Actions (People) - Career Integration Grant, European Commission Research Executive Agency , 2014 - 2018, Zudi Lu (Marie Curie Fellow, PI).
- Challenging Econometric Issues in Nonlinear High-Dimensional Spatio-Temporal Prediction: Theory and Applications, Discovery Grant, Australian Research Council, 2013 - 2015, Zudi Lu (PI), Marc Hallin (Co-I, International).
- Improved Theory and Practice in Econometric Modelling of Nonlinear Spatial Time Series, Future Fellowship Grant, Australian Research Council, 2011 - 2015, Zudi Lu (Australian Future Fellow, PI).
- Nonlinear spatial and spatiotemporal econometrics: theory with applications, Discovery Grant, Australian Research Council, 2009 - 2011, Zudi Lu (PI).
- Research in Statistics and Finance, Curtin University of Technology, 2007 - 2009, Zudi Lu (PI).
- Spatial/temporal forecasting and risk modeling based on quantile regression, General Grant, National Natural Science Foundation of China, 2003 - 2005, Zudi Lu (PI), Keming Yu (Co-I, International).
- Uncertain (risk) management and decision-making modelling, Key Project Fund, National Natural Science Foundation of China, 2000 - 2003, Zudi Lu (one of the 3 joint PIs with Kan Cheng and Yuncheng Feng).
- Nonparametric modeling of spatial data, Youth Fund, National Natural Science Foundation of China, 1999 - 2001, Zudi Lu (PI).
Journal
- Lin, P. , Liao, J. , Lu, Z. , You, K. & Zou, G. (in press). Optimal averaging estimation for density functions. Statistica Sinica. doi:10.5705/ss.202022.0410
- Kiakojouri, A. , Lu, Z. , Mirring, P. , Powrie, H. & Wang, L. (2024). A generalised intelligent bearing fault diagnosis model based on a two-stage approach. Machines. 12/1. 77 doi:https://doi.org/10.3390/machines12010077
- Zhang, Q. , Lu, Z. , Liu, S. , Yang, H. & Pan, J. (2024). An MA-MRR model for transaction-level analysis of high-frequency trading processes. Journal of Management Science and Engineering. 9/1. 53 - 61. doi:10.1016/j.jmse.2023.08.001
- Lu, Zudi. , Ren, Xiaohang. & Zhang, Rongmao. (2024). On Semiparametrically Dynamic Functional- Coefficient Autoregressive Spatio-Temporal Models with Irregular Location Wide Nonstationarity. Journal of the American Statistical Association. 119/546. 1032 - 1043. doi:10.1080/01621459.2022.2161386
- Peng, Rong. & Lu, Zudi. (2024). Semiparametric Averaging of Nonlinear Marginal Logistic Regressions and Forecasting for Time Series Classification. Econometrics and Statistics. 31. 19 - 37. doi:10.1016/j.ecosta.2021.11.001
- Sun, Y. , Lian, G. , Lu, Z. , Loveland, J. & Blackhurst, I. (2020). Modeling the variance of return intervals toward volatility prediction. Journal of Time Series Analysis. 41/4. 492 - 519. doi:doi/10.1111/jtsa.12518
- Jiang, Z. , Ling, N. , Lu, Z. , Tjostheim, D. & Zhang, Q. (2020). On bandwidth choice for spatial data density estimation. Journal of the Royal Statistical Society, Series B. 82/3. 817 - 840. doi:https://doi.org/10.1111/rssb.12367
Book Chapter
- Peng, R. , Lu, Z. & Ge, F. (in press). On a Location-wide Semiparametric Analysis of Spatio-Temporal Dynamics of the COVID-19 Daily New Cases in the UK. Recent Advances in Econometrics and Statistics. Springer Nature Switzerland AG. doi:https://doi.org/10.1007/978-3-031-61853
Last update date :
30 Oct 2024
