People

Dr Vasileios Giagos

Lecturer
Department of Mathematical Sciences
Dr Vasileios Giagos

Profile

Biography

The two major themes in my research career are stochastic modelling and Bayesian Analysis. In addition to these two major themes, I have an active research interest in the areas of Computational Statistics (MCMC, Particle Filters), Probability (SDEs), Machine Learning and AI with a very wide range of applications (e.g. Epidemiology, Biology, Health, Demographics, and Animal Science). I have been involved I am very interested in extending the scope of my research with collaborations with the industry and other disciplines.

Research and professional activities

Research interests

Inference for stochastic kinetic dynamics

Stochastic kinetic dynamics provide a modelling framework with a wide range of applications (e.g. Epidemiology, Population Dynamics). The development of inferential tools for the kinetic constants is particularly challenging and involves topics like the Bayesian Prior Specification, the development of efficient simulation algorithms (Markov Chain Monte Carlo, Sequential Monte Carlo, Approximate Bayesian Computation) and stochastic processes (Markov Jump Processes, Linear Noise Approximation, Stochastic Differential Equations).

Key words: Stochastic Processes
Open to supervise

Bayesian Analysis

I have an active research interest in the methodological, computational and applied aspects of Bayesian Analysis. Some examples include Hierarchical models, inference for stochastic processes, Approximate Bayesian Computation, Time Series, Hidden Markov Models, Imputation of Missing Data, and Empirical Bayes. Furthermore, these involve computational aspects like Markov Chain Monte Carlo methods, Particle Filters and Statistical Machine Learning. Finally, areas of applications involve epidemiology, Biology, Health, Animal Science, Demographics, road traffic.

Key words: Bayesian Statistics
Open to supervise

Teaching and supervision

Current teaching responsibilities

  • Databases and data processing with SQL (MA332)

  • Data Visualisation (MA304)

Publications

Publications (1)

Fearnhead, P., Giagos, V. and Sherlock, C., (2012). Inference for reaction networks using the Linear Noise Approximation

Journal articles (4)

Jaggi, A., Drake, M., Siddiqui, E., Nazir, J., Giagos, V. and Fatoye, F., (2018). A critical appraisal of the principal guidelines for neurogenic lower urinary tract dysfunction using the AGREE II instrument. Neurourology and Urodynamics. 37 (8), 2945-2950

van den Berg, M., Giagos, V., Lee, C., Brown, WY. and Hinch, GN., (2016). Acceptance of novel food by horses: The influence of food cues and nutrient composition. Applied Animal Behaviour Science. 183, 59-67

van den Berg, M., Giagos, V., Lee, C., Brown, WY., Cawdell-Smith, AJ. and Hinch, GN., (2016). The influence of odour, taste and nutrients on feeding behaviour and food preferences in horses. Applied Animal Behaviour Science. 184, 41-50

Fearnhead, P., Giagos, V. and Sherlock, C., (2014). Inference for reaction networks using the linear noise approximation. Biometrics. 70 (2), 457-466

Conferences (1)

Wilcox, C., Djahel, S. and Giagos, V., (2021). Identifying the Main Causes of Medical Data Incompleteness in the Smart Healthcare Era

Grants and funding

2023

Croud Inc Ltd KTP Application

Innovate UK (formerly Technology Strategy Board)

Croud Inc Ltd KTP Application

Innovate UK (formerly Technology Strategy Board)

Contact

v.giagos@essex.ac.uk

Location:

6.303, Colchester Campus