Members of the Mathematics and Statistics Research Group (MSRG)

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:

Dr Vadim Zverovich

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

View Dr Zverovich's profile

Dr Kazeem Adeleke

• Applied statistics: biostatistics, medical statistics
• Bayesian inference
• Machine learning and predicted modelling

View Dr Adeleke's profile

Dr Jason Anquandah

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

View Dr Anquandah's profile

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 

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Dr Narges Dailami

• Medical statistics 
• Applied statistics 
• Experimental design application

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Dr Ben Derrick

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

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Dr Rei England

• Actuarial science
• Agent-based modelling
• Systemic risk and resilience in economic systems
• Computational and simulation-based statistics
• Game-based learning

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Dr Ethan Lee

• Analytic and Algebraic Number Theory
• Properties of L-functions
• Consequences of the Riemann Hypothesis and its analogues
• Goldbach-type problems
• Mathematical modelling and scientific computing

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Dr Xiaodong Li

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

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Dr Mary Moschou

• Mathematical aspects of cosmology and early-universe models
• Analytical and semi-analytical methods in mathematical physics
• Wave propagation, scattering and diffraction theory
• Applications of complex analysis and special functions

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Tara Rasti

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

Dr Clemence Rhodes-Maquaire

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

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Dr Indunil Sikurajapathi

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

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Dr Andrew Smith

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

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Dr Emily Walsh

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

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Dr Paul White

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

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Dr Hisham Ihshaish

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

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Dr Mario Orsi

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

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Dr Kamran Soomro

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

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Dr Jan Van Lent

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

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Dr Anush Poghosyan

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