Professor Xuerong Mao

Mathematics and Statistics

Personal statement

He is an FRSE (Fellow of Royal Society of Edinburgh) and 1969 Chair of Statistics. He is also the Royal Society Wolfson Research Merit Award Holder.

He is a very active and extremely highly cited stochastic analyst (e.g. 23991 citations, h-index 74, i10-index 209 in Google Scholar on 18 January 2020). He has made many influential contributions to the study of existence and long-term behaviour of solutions to nonlinear stochastic differential equations (SDEs). His seminal discoveries and new research directions include:

(1) Mao initiated a new research direction in the study of SDEs and Markov processes, developed a new set of analytical tools and established some fundamental results. His work is now the default reference in the area. Currently he is investigating the stability of highly nonlinear hybrid SDEs and stabilisation by feedback controls based on discrete-time observations.

(2) Mao and his coauthors were the first to study the strong convergence of numerical solutions of SDEs under a local Lipschitz condition. Their theory has formed the foundation for several recent very popular methods, including tamed Euler-Maruyama method and truncated Euler-Maruyama. Currently Mao is investigating the numerical stability of nonlinear SDEs under a local Lipschitz condition. This is a very hard and important problem.

(3) Mao discovered a surprising and far-reaching result: environmental Brownian noise can suppress explosions in population systems. This discovery has inspired many researchers to use SDEs as models of ecological and biological systems. His current research in this direction is concerned with linking experimental and theoretical analysis of biochemical systems subject to external noise.

Expertise

Has expertise in:

Stochastic differential equations and their applications.

Prizes and awards

Medal of 2017 International Scholars' Forum by Shanghai Normal University: Recipient; 2017
Royal Society Wolfson Research Merit Award: Recipient; 2016
Strathclyde Teaching Excellence Award: Recipient; 14/5/2015
The 2013/14 Yangtze River Professorship Award.: Recipient; 2015
The 2015 Leverhulme Research Fellowship Award: Recipient; 2015
Award of Foreign Expert: Recipient; 2014

more prizes and awards

Publications

Modelling the effect of telegraph noise in the SIRS epidemic model using Markovian switching: Greenhalgh D, Liang Y, Mao X; Physica A: Statistical Mechanics and its Applications Vol 462, pp. 684-704 (2016); https://doi.org/10.1016/j.physa.2016.06.125
Stationary distribution of stochastic SIRS epidemic model with standard incidence: Zhao Yanan, Lin Yuguo, Jiang Daqing, Mao Xuerong, Li Yong; Discrete and Continuous Dynamical Systems - Series B Vol 21, pp. 2363-2378 (2016); https://doi.org/10.3934/dcdsb.2016051
Asymptotic stability and boundedness of stochastic functional differential equations with Markovian switching: Feng Lichao, Li Shoumei, Mao Xuerong; Journal of the Franklin Institute (2016)
Stabilisation of stochastic differential equations with Markovian switching by feedback control based on discrete-time state observation with a time delay: Qiu Qinwei, Liu Wei, Hu Liangjian, Mao Xuerong, You Surong; Statistics and Probability Letters Vol 115 , pp. 16-26 (2016); https://doi.org/10.1016/j.spl.2016.03.024
On the asymptotic stability and numerical analysis of solutions to nonlinear stochastic differential equations with jumps: Mao Wei, You Surong, Mao Xuerong; Journal of Computational and Applied Mathematics (2016); https://doi.org/10.1016/j.cam.2016.01.020
Almost sure exponential stability of stochastic differential delay equations: Guo Qian, Mao Xuerong, Yue Rongxian; SIAM Journal on Control and Optimization Vol 54, pp. 1919-1933 (2016); https://doi.org/10.1137/15M1019465

more publications

Research interests

My research interests are mainly in the areas of stochastic differential equations and their applications. The reseach topics include the existence-and-uniqueness theory of the solutions to SDEs, stochastic stability, stochastic stabilisation by feedback controls, stationary distributions, asymptotic estimations, finite-time convergences of numerical solutions, asymptotic analysis of numerical solutions as well as stochastic modelling in finance, engineering, population systems, ecology etc.

Professional activities

Invited talk on "Advances in stabilisation of hybrid stochastic differential equations by delay feedback control" at One World Virtual Seminar Series - Stochastic Controls organised by Technical Committee on Control Theory (TCCT), Chinese Association of Automation, 20 April 2020.: Speaker; 2020
Invited talk on "The truncated Euler-Maruyama method for SDDEs" at One World Virtual Seminar Series - Stochastic Numerics and Inverse Problems organised by International Centre for Methematical Sciences (ICMS), Edinburgh, UK, 22 April 2020.: Speaker; 2020
Workshop on SDEs and Application at Strathclyde University, 7-10/08/2019, supported financially by the Royal Society via the Newton Advanced Fellowship.: Organiser; 2019
the 2nd International Conference on Biomathematical Modelling and Stochastic Analysis, Huaian, China, 31/10 - 3/11/2019.: Chair; 2019
Keynote talk on ”Stochastic Stability and Stabilisation by Delay Feedback Controls” at the Development Forum 2 - Stochastic Systems and Control during the 38th Chinese Control Conference (CCC2019), Guangzhou, China, 27-30 July 2019.: Participant; 2019
Keynote talk on ”Stabilisation of Highly Nonlinear Hybrid Systems by FeedbackControl based on Discrete-Time State Observations” at the 7th TCCT Conferenceon Stochastic Systems and Controls, Wuhu, China, 25-27 October 2019: Participant; 2019

more professional activities

Projects

Ergodicity and invariant measures of stochastic delay systems driven by various noises and their applications (Prof. Fuke Wu): Mao, Xuerong (Principal Investigator); 16-Jan-2017 - 15-Jan-2020
Long-time dynamics of numerical solutions of stochastic differential equations: Mao, Xuerong (Principal Investigator); 01-Jan-2016 - 30-Jan-2021
Numerical Analysis of Stochastic Differential Equations: New Challenges: Mao, Xuerong (Principal Investigator); 01-Jan-2015 - 30-Jan-2017
Environment-Ecosystem-Health dynamics under Stochastic Environment: Mao, Xuerong (Principal Investigator); 01-Jan-2014 - 29-Jan-2016
Workshop on SDDEs: Mao, Xuerong (Principal Investigator); 10-Jan-2013 - 11-Jan-2013
Workshop on Stochastic Differential Equations and Their Applications: Mao, Xuerong (Principal Investigator); 01-Jan-2013 - 30-Jan-2013

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Address

Mathematics and Statistics
Livingstone Tower

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