Current Staff Research Interests

Professor John Ringwood

Modelling and advanced control of industrial processes, including dairy processes, climate control, steel mills, biotechnological processes and boiler systems.
Application of mathematical modelling and analysis to biomedical systems.
Renewable energy systems, including application of control technology to wave-energy devices.
Virtual metrology and control for semiconductor and plasma processes

Dr Seán Doherty

Modelling and advanced control of non-linear chemical processes, particularly pH
Artificial Neural Networks for modeling of dynamic non-linear systems
Multivariate Statistical Process Control and its application to process diagnostics and quality control.

Dr Ronan Farrell

Analog and Mixed Signal Circuits
Design of robust mixed signal circuits for use in standard CMOS processes, in particular analog-to-digital and digital-to-analog converters
Modelling and design of systems using oversampling techniques
Modelling of nonlinear systems such as sigma-delta modulators
Analog circuit design automation

Dr Bob Lawlor

Audio digital signal processing
Audio time-scale and frequency-scale modification
Sound Source Separation
Mobile phone speech quality enhancement

Dr Seamus McLoone

Latency reduction and masking – Developing techniques to reduce and/or mask the effects of latency and jitter in distributed interactive applications.
Psycho-Perceptual measures – Exploiting psycho-perceptual measures to improve consistency in distributed interactive applications.
Modelling from Data - Linear and non-linear system identification techniques applied to dynamical system modelling, time series prediction and signal processing.
Intelligent Systems Engineering - Utilising AI techniques such as Fuzzy Logic and Multiple Models to solve engineering problems.
Improving the student learning experience – Investigating different styles of teaching and assessment and using innovative technology to provide a better education for students.

Dr Sean McLoone

Optimization and parallel computing for neural, wavelet and local model network training
Linear and nonlinear system identification
Multiple-model approaches to nonlinear modelling and control
Fault diagnosis and multivariate statistical process control.

Mr Rudi Villing

Physiologically and perceptually inspired signal processing
Speech processing and expressive speech synthesis
Virtual learning environments and e-learning
Software engineering

Dr Tomás Ward

Biomedical optics
Noninvasive physiological measurement
Emotion synthesis in artificial speech
Brain-Computer Interfaces
Assistive technology for people with disabilites
Network protocols for distributed interactive simulation

Last Update: Wednesday, 04-Nov-2009 10:54:08 GMT