It
is my pleasure to welcome you to my personal home page. Feel free to
browse around.
Keith Neo Kian Seng, PhD
Research Scientist / Reporting Specialist /
Operations Executive
Gaussian Process Models and Machine
Learning
My research domain is
within, but not limited to, the area of interest of Electronics and
Electrical Engineering (EEE). The topic of my research involves the use
of Gaussian process within a Bayesian framework for System
Identification, particularly to identify nonlinear dynamic
systems. In other fields of the research, the Gaussian Process prior
model is also known to be part of Machine Learning.
I
am also currently contracted to work for SAP to conduct various
analytical, operational and management works as a Reporting
Specialist / Operations Executive.
Area of Interests and Research Topics
I
have great interest in some of these research topics:
Multiple
stochastic Gaussian processes
Compound state-space
time-series regression using Gaussian process models
Fast
algorithms implementation for large-scale Gaussian regressions
Identification
of nonlinear dynamic systems
Analysis of wind
turbine aerodynamics and electro-mechanical dynamics to aid and improve
design of controller
Data mining, statistical
analysis and specialised reporting
Effective data
cleansing algorithm using Bayesian technique
