Keith Neo Home Page - Hamilton Institute

Current Position

I am currently employed as a Research Assistant at the Hamilton Institute, where I am working towards a Ph.D degree in Electronic and Electrical Engineering. I am also a member of the newly-established Systems Modelling Group in Hamilton Institute.

Research Interests

My current research involves the investigation of Gaussian Processes and its applications. Several works include the extension of independent multiple stochastic processes within a single model, under Bayesian context, and the development of fast algorithms for handling largescale time-series data. Application on data analysis, particularly, system identification, has been performed on real data using Gaussian process prior models, such as wind turbine data, consisting 24,000 time-series data points. The extension of Gaussian processes in state-space models was also investigated.

Main Research Detail

Fast computation using Generalised Schur algorithm
Combined State-space Time-series stochastic Gaussian processes
Multiple Gaussian processes of independent explanatory variables
Multiple Gaussian processes within a single explanatory variable
Identification of nonlinear dynamic systems using Gaussian process

Looking for Source Codes?

A compiled list of source codes are available from this link.

List of Publications

My publications can be found at the Systems Modelling Publication and the Hamilton Institute Publication Site.

Personal Link

Access my personal webpage here.

Hamilton Institute
National University of Ireland, Maynooth (NUIM)
Co. Kildare
Republic of Ireland