Professor Daniel Coca

Head of Department of Automatic Control and Systems Engineering and Professor of Nonlinear & Complex Systems

Email: d.coca@sheffied.ac.uk

My research work spans the broad area of nonlinear and complex dynamical systems. I am interested in developing novel mathematical, computational and analytical methods to analyse, model and control complex dynamical systems as well as apply the tools developed to complex systems in physics, engineering, life sciences and finance.

Complex systems modelling, identification and control:
Stem cell population dynamics; Crystal growth; Brain activity; Solar wind - magnetosphere interaction; Financial markets.

Bioimaging & biological data analysis:
Diffuse Optical Tomography; Protein Identification/Protein Mass Fingerprinting; Cell imaging data analysis.

Nonlinear Control Theory:
Controller design for nonlinear PDEs; Nonlinear predictive control.

Reconfigurable computers:
FPGA hardware acceleration of protein identification algorithms; FPGA implementation of computationally intensive control & optimization algorithms.

See the Centre for Signal Processing and Complex Systems Research and the Centre for Signal Processing in Neuroimaging and Systems Neuroscience websites for more details:

Centre for Signal Processing and Complex Systems Research

Centre for Signal Processing in Neuroimaging and Systems Neuroscience