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Current PhD projects:

1.  New regression  models and methods  for Econometrics and Business, including risk analysis in finance and insurance.
2.  Robust algorithms for Machine Learnign and Deep Learning.
3.  Statistical analysis and Machine learning for modelling loneliness and social isolation in Gerontology.
4.  New distributional/regression methods for the analysis of Wellbeing, health and biomedical scoences, such as obesity.
5.  Statistics/Machine learning methods for risk assessment in engineering, such as rail truck failure, cable fault, pipeline corrosion and wind turbine.
6.  Statistical theory, method for big data and small data.

Completed Research/PhD Students  (2006--):

1.  Aseemali Fazal (MPhil), December 2006. Project Title: Dynamic Asset Pricing Using Statistics Forecasting Methods.

2. Yang Liu (MPhil), October 2007. Project Title: Modelling Credit Risk Securities.

3.  Xiaochen Sun (PhD), May 2009. Project Title: Copula Methods for Risk Management in Finance.

4.  Abdallah Ally (PhD), March 2011. Project Title: Quantile-based methods for prediction and risk analysis.

5.  Craig Reed (PhD), April 2011. Project Title: ``Effective Gibbs sampling and variable selection for quantile regression with application‘’.

6.  Antonios Koutsourelis (PhD), 2012. Project Title: ``Bayesian inference extreme quantile regression and hidden Markov models with application in risk analysis.’’

7.  Balash Vladimir (MPhil), 2012. Project Title `` A new stochastic frontier production (SFP) model with application in econometric analysis of the efficiency and risk in Russian banking.’’

8.  Zhuo Sheng (PhD), 2013. Project Title ``Extreme quantiles based volatility measurement in high-frequency data’’.

9.  Rahim Al-Hamzawi (PhD), 2013. Project Title ``Prior elicitation and variable selection for Bayesian quantile regressions''.                                                                            The winner of 2013  Vice-Chancellor's Prize for Doctoral Research.

10.  Ali Al-Kenani (PhD), 2013. Project Title ``Dimension reduction in quantile regression’’.

11.  Katerina Aristodemou (PhD), 2014. Project Title ``New Regression Techniques for Central Tendency’’.

12. Hussein Hashem (PhD), 2014, Project Title “Regularized and robust regression methods for high-dimensional data”.

13. Hamed Haselimashhadi (PhD), 2016, Project Title  "Novel Regression Models for Dynamic and Discrete Response Data Under L1 and Differentiable Penalties" .

14.  Hadeel kalktawi (PhD). 2017. Project Title ``Discrete Weibull Regression Model For Count Data’’.

15.  Francisco Anes-Arteche (PhD), 2017 . Project Title `` Data Analysis for Improved Risk Assessment in Underground Pipelines’’.                                                             The winner of DEAN'S PRIZE FOR INNOVATION AND IMPACT.

16.  Yang Hwei Tan (PhD), 2017, Project title: ``Statistical Methods for the Analyses of Corrosion Data for Integrity Assessments.

17.  Xi, Liu, 2018 (PhD). Project title: `` Some New Developments for Quantile Regression’’.

18.  Nik Nooruhafidzi Bin Muhd Noor (PhD), 2018-2021. Project Title: `` Statistical modelling and prediction of defects of buried pipelines based on ECDA data and associated factors.’’

19. Eduardo Anes-Arteche (PhD) 2019-- 2021`Risk assessment in Engineering'.

20. Sanna Soomro (PhD) 2020-2024: `Bayesian regression models beyon mean with applications'.

21: Yuanqi Chu (PhD) 2020--2023: `BQR for big data and COVID-19 data analsyis'.

22: Qikang Liao (PhD) 2024--- `Stochastic Process for Spatil-temporal data modelling'.

PhD projects for research students

• Semi-supervised learning for regression