• Sensor signal processing, in particular design of radar sensors and sensor scheduling
• Sampling theory and its application in image processing and radar systems
• Rotational SAR imaging
• Sparse sampling involving signals with finite rate of innovation (FRI)
• Motion estimation and registration for image sequences, in particular biological and medical imaging.
• Radar and Quantum based navigation

For further details, please see  Dr Gilliam’s website.

Currently accepting PhD students. For enquiries, please email Dr Gilliam directly.

Christopher Gilliam is an Assistant Professor in Applied Signal Processing in the School of Engineering at the University of Birmingham. He received M.Eng. degree (Hons.) in electrical and electronic engineering from Imperial College London, U.K. in 2008, and Ph.D. degree in electrical and electronic engineering in 2013.

He was a Postdoctoral Fellow with the Image and Video Processing Group, Department of Electronic Engineering, The Chinese University of Hong Kong, from 2013 to 2017, and a Research Fellow with the RF & Antenna Research Group, School of Engineering, RMIT University, Australia, from 2017 to 2022. He joined the University of Birmingham in April 2022 and is part of the Microwave Integrated Systems Laboratory (MISL).

He has extensive experience in sensor signal processing and contributed to DSTG sponsored projects on sensor scheduling in multistatic sonar systems, autonomous search algorithms for mobile sensors, decision classification under uncertainty and the design and implementation of UAV mounted SAR imaging sensors.

His research interests include sampling theory and its application in image processing and radar systems, sparse sampling involving signals with finite rate of innovation, motion estimation and registration for image sequences, in particular biological and medical imaging, and sensor management.