
I am a senior post-doctoral researcher specializing in digital signal analysis and processing. My background is in electronic engineering, my expertise areas include experimental data acquisition, hardware/software interfacing, embedded systems design, neural network analysis, programming in Matlab, C/C++, Handel-C and assembler.
Currently, I work at the Institute of Biomedical Engineering (IBME),
at the Department of Engineering Science,
Oxford University. My project is focused on
an implantable sensor for patients with Chronic Cardiac Failure (CHF).
Previously, I worked for more than 10 years at the Invensys UTC for Advanced Instrumentation,
which is also part of the Department of Engineering
Science, where I carried out research and software development for the
design of self-validating instruments. I was in charge of the
instruments’ hardware/software interface, and dealt with signal
acquisition and processing issues in embedded designs based on a PC processor
and one or two field-programmable gate arrays (FPGA). The group collectively
won the IET Measurement prize in 2007, for
the ‘Digital Coriolis Mass Flow Metering’. I have been involved in
the department’s teaching activities, usually as laboratory demonstrator
in control and maths, but also as a college tutor in
electronics and control for engineering students.
Research background
I completed a DPhil at Oxford University
in 2001, under the supervision of Prof Lionel Tarassenko, head of the Biomedical Signal Processing
group, at the Department of Engineering
Science. During my DPhil, my research focused on signal processing,
autoregressive modelling and neural network analysis
of the electroencephalographic signal (EEG). My project was related with the
detection of micro-arousals in sleep-EEG of patients with obstructive sleep apnoea syndrome (OSAS) and the estimation of their
alertness level while performing a vigilance task. Before coming to Oxford, I
worked as a university lecturer in the Engineering
Faculty at Universidad Central de Venezuela, where my research involved
topographic mapping of the brain based on 8-channel scalp EEG signals.
Publications
For a selected list of publications, click here.