Personal Statement
Christopher Gilliam is a Senior Lecturer in Signal Processing in the School of Engineering at the University of Liverpool. He received his M.Eng and Ph.D degrees in electrical and electrical engineering from Imperial College London, and has worked as a Postdoctoral Fellow at The Chinese University of Hong Kong and then a Research Fellow with the RF & Antenna Research Group at RMIT University, Australia. Previously, he was an Assistant Professor in Applied Signal Processing in at the University of Birmingham.

He has extensive experience in sensor signal processing and has been funded to design sensor path planning algorithms, model quantum inertial 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.

Research Overview
Chris has extensive experience in sensor signal processing and has been funded to design sensor path planning algorithms, model quantum inertial sensors, decision classification under uncertainty and the design and implementation of UAV mounted SAR imaging sensors.

His current research interests include: Sensor signal processing, in particular sensor scheduling and autonomous decision making; radar signal processing; sparse sampling involving signals with finite rate of innovation (FRI); and Motion estimation and registration for image sequences, in particular biological and medical imaging.