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Panqiu Xia

Dr Panqiu Xia

(he/him)

Lecturer

School of Mathematics

Overview

I am a lecturer in the statistics research group since Autumn 2024. 

Previously, I was a postdoc at Auburn University (USA), under the guidance of Dr. Le Chen, from Fall 2022 to Summer 2024. Prior to that, from Fall 2020 to Summer 2022, I worked as a postdoc in the mathematical biology group led by Prof. Carsten Wiuf at the University of Copenhagen (Denmark),  following the completion of my Ph.D. in 2020, which was jointly supervised by Prof. Yaozhong Hu and Prof. David Nualart at the University of Kansas (USA) in 2020.

My research interests include both theoretical and applied probability, specifically in the following areas

Publication

2024

2023

2022

2020

2019

Articles

Research

My research interests include both theoretical and applied probability, with a specific focus on two compelling areas: stochastic partial differential equations (SPDEs), and the theory of chemical reaction networks (CRNs).

  • The theory of SPDEs merges classical partial differential equations (PDEs) with random (stochastic) fluctuations. These equations play a pivotal role as stochastic models across diverse scientific domains, including neurophysiology, environmental science, chemical reaction-diffusion, infinite particle systems, and statistical mechanics. 

    Two equations I am focusing on include:
    • The parabolic Anderson model (PAM), initially introduced by physicist Philip Anderson in 1960’s on the entrapment of electrons in crystals with impurities.
    • The super Brownian motion (sBm, aka. Dawson-Watanabe superprocess), the hydrodynamic limit of a sequence of branching particle systems, involving a non-Lipschitz diffusion coefficient.

For these equations, I am interested in the properties of their solutions, such as existence and uniqueness, moment properties, long-term behaviour, spatial averaging, etc.

  • The theory of CRNs serves as a powerful tool for modelling the complex dynamics of real-world (bio)chemical systems. Originating in the early 20th century, it initially engaged chemists and physicists studying simultaneous reactions within a closed system. Over the past half-century, this theory has evolved into a distinct mathematical field, borrowing tools from graph theory, dynamical systems, algebraic geometry, probability theory, and computer science. My research in this area focuses on the explicit formulation of the stationary distributions of stochastically modelled CRNs.

Please refer to my Google Scholar page for a complete list of my publications.

Teaching

Current Courses.

 

Past Courses.

Auburn University

  • STAT 3010: Statistics for Engineers and Scientists (using R).
  • MATH 1680: Calculus with business applications I.
  • STAT 2510: Statistics for Biological and Health Sciences (using R).
University of Copenhagen
  • Project in Statistics.
  • Stochastic Analysis.
  • Graphical Models.
University of Kansas

  • MATH 125: Engineering Calculus I.
  • MATH 115: Business Calculus I.
University of Macau

  • MATH 110: Calculus I.
  • MATH 207: Numerical analysis (using Matlab).

Biography

Previous positions

  • 2022--2024    Postdoc - Auburn University, Auburn, USA.
  • 2020--2022    Postdoc - University of Copenhagen, Copenhagen, Denmark.

Education

  • 2020               PhD - University of Kansas, Lawrence, USA.
  • 2014               MSc - University of Macau, Macau, China.
  • 2011               BSc - Wuhan University, Wuhan, China.

Contact Details

Email XiaP@cardiff.ac.uk

Campuses Abacws, Room 2.05, Senghennydd Road, Cathays, Cardiff, CF24 4AG

Research themes

Specialisms

  • Probability theory