A variety of staff work within the Mathematics and Statistics Research Group (MSRG). You can take a look at their research interests and contact details below:

Members

Dr Vadim Zverovich (Head of MSRG)

  • Graph theory
  • Operational research
  • Probabilistic methods
  • Decision analysis

Dr Jason Anquandah

  • Stochastic control theory
  • Survival analysis
  • Finance
  • Actuarial science

Dr Lloyd Bridge

  • Mathematical modelling and scientific computing
  • Biomathematics
  • Mathematical pharmacology and G-protein coupled receptors
  • Biomedical modeling and NF-kappaB dynamics
  • Modelling fluid flow and phase change in porous media 

Dr Narges Dailami

  • Medical statistics 
  • Applied statistics 
  • Experimental design application

Dr Ben Derrick

  • Philosophy of statistics
  • Applications in frequentist inference
  • Statistical robustness
  • Teaching and learning of statistics

Dr Rhys Gwynllyw

  • Algorithmic e-assessment systems
  • Behaviour of particles
  • Evolutionary computation
  • Spectral element meshes

Dr Karen Henderson

  • Algorithmic e-assessment systems
  • Technology-enhanced learning
  • Behaviour of particles
  • Water waves

Dr Xiaodong Li

  • Operational research
  • Transportation
  • Logistics
  • Healthcare
  • Renewable energy

Dr Paul Matthews

  • Digital support for mental health
  • Natural language processing
  • Humanities analytics

Tara Rasti

  • Deep learning
  • Machine learning
  • Artificial intelligence in healthcare and medicine
  • Computational neuroscience

Clemence Rhodes-Maquaire

  • Applied statistics
  • Data science 
  • Data analysis 
  • Mental health

Indunil Sikurajapathi

  • Algorithmic e-assessment systems
  • Mathematical education
  • Numerical analysis
  • Numerical linear algebra 

Dr Andrew Smith

  • Medical statistics
  • Causal inference
  • Post-selective inference
  • Prognostic models

Dr Emily Walsh

  • Adaptive mesh methods
  • Optimal transport methods
  • Numerical weather prediction

Dr Paul White

  • Applied statistics
  • Statistical methodology
  • In silico simulation for evaluating statistical behaviour

Associate members

Dr Hisham Ihshaish

  • Machine learning
  • Artificial intelligence
  • Large-scale data analysis

Dr Mario Orsi

  • Multi-scale molecular dynamics
  • Lipid membranes
  • Drug permeation
  • Coarse-grained modelling

Dr Kamran Soomro

  • ICT for smart cities and urban management
  • Artificial intelligence
  • Big data

Dr Jan Van Lent

  • Numerical analysis
  • Numerical linear algebra
  • Scientific computing
  • Optimal transport

Dr Anush Poghosyan

  • Graph theory
  • Networks
  • Probabilistic methods
  • Data analysis
  • Agent-based modelling

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