Instrumentation, Control and Embedded Systems

The Instrumentation, Control and Embedded Systems (ICES) research group comprises a mixture of well experienced and young and vibrant academics from the School of Engineering and Digital Arts and the School of Physical Sciences. The team works in three complementary research themes - Instrumentation, Control and Embedded Systems. The group has made considerable endeavours to solve challenging scientific and technological problems with a range of industrial organisations through applied research programmes funded through the UK Government and also with many European countries through EU-funded research programmes.

The group's expertise lies primarily in sensors, instrumentation, image processing, signal processing, Optical Coherence Tomography (OCT), neural networks, robust control and estimation, and embedded system design. Since 2001 the group has published more than 150 peer reviewed journal papers and over 360 refereed conference papers in addition to 26 patents. More than 30 PhD research students have graduated from the group since 2001.

Research Areas

• Instrumentation
• Control
• Embedded Systems

Research Project Opportunities

Interested students are invited to look at the list of current projects. Alternatlively students may wish to suggest an appropriate self-selected PhD topic and consult the School for further discussion.

• Adaptive Optics for Improved Optical Coherence Tomography
• Automated Analysis and Understanding of Biological Cells from Microscopic Images
• Contactless Temperature Measurement of Stored Biomass
• Decentralised Fault Reconstruction and Fault Tolerant Control for Nonlinear Interconnected Systems
• Digital Imaging Based Characterisation of Biomass Particles in Power Generation
• Frequency Domain Image Processing
• Investigation of Adiabatic Logic Circuits for Very Low-Power Logic Design
• Logarithmic Signal Processing Architectures
• Low Power Wireless Sensor Nodes
• Monitoring and Characterisation of Gas Turbine Flames through Stereoscopic Imaging and Two-colour Techniques
• Monitoring and Characterisation of Large Scale Industrial Fires
• Monitoring of Particulate Emissions through Digital Imaging and Light Scattering
• Multi-Agent Model to Simulate Economic and Financial Systems’ Behaviour
• Observer Design for Time-Delay Systems
• On-line Monitoring of Particle Size Distribution of Biomass Particles in Power Generation Using Acoustic Sensors
• Reaction-Diffusion Model to Study of Morphogen Gradient Formation in Drosophila Embryo
• Reconstruction of Radical Emissions in a Combustion Flame through Stereoscopic Tomography
• Robust Decentralised Output Feedback Control for Complex Interconnected Systems
• States and Parameters Estimation for Complex Networked Systems with Applications
• Tomographic Reconstruction of Soot Volume Fraction and Emissivity of a Sooting Flame using Multiple Cameras

Group Members