Dr Christopher Gilliam MEng, Ph.D

Dr Christopher Gilliam

Department of Electronic, Electrical and Systems Engineering
Assistant Professor in Applied Signal Processing

Contact details

Email
c.gilliam.1@bham.ac.uk
Address
Department of Electronic, Electrical and Systems Engineering
University 麻豆精选
Edgbaston
Birmingham
B15 2TT
UK

Christopher Gilliam is an Assistant Professor in Applied Signal Processing within the Microwave Integrated Systems Laboratory (MISL) at the University 麻豆精选.

His research interests include radar imaging; sampling theory; motion estimation and registration for image sequences; navigation and sensor management.

Qualifications

  • Ph.D in Signal Processing from Imperial College London, 2013
  • MEng (1st Class Hons) in Electrical & Electronic Engineering from Imperial College London, 2008

Biography

Christopher Gilliam is an Assistant Professor in Applied Signal Processing in the School of Engineering at the University 麻豆精选. 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 麻豆精选 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.

Postgraduate supervision

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

Research

  • 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聽聽

Currently accepting PhD students. For enquiries, please email聽Dr Gilliam听诲颈谤别肠迟濒测.

Other activities

  • Member of the Biomedical Signal Processing and Systems (BioSiPS) Technical Committee for the Asia-Pacific Signal and Information Processing Association (APSIPA)
  • Affiliate Member of the IEEE Technical Committee on Bio Imaging for Signal Professing (BISP)
  • Affiliate Member of the IEEE Technical Committee on Signal Processing Theory and Methods (SPTM)
  • Member of the IEEE and IEEE Signal Processing Society.

Publications

Recent publications

Article

Li, W, Gilliam, C, Wang, X, Kealy, A, Greentree, AD & Moran, B 2025, '', Journal of Navigation.

Wang, X, Kealy, A, Gilliam, C, Haine, S, Close, J, Moran, B, Talbot, K, Williams, S, Hardman, K, Freier, C, Wigley, P, White, A, Szigeti, S & Legge, S 2023, '', Journal of Navigation.

Wang, X, Gilliam, C, Kealy, A, John Close & Moran, B 2023, '', NAVIGATION: Journal of the Institute of Navigation, vol. 70, no. 2, navi.583.

Kustner, T, Pan, J, Gilliam, C, Qi, H, Cruz, G, Hammernik, K, Blu, T, Rueckert, D, Botnar, R, Prieto, C & Gatidis, S 2022, '', APSIPA Transactions on Signal and Information Processing, vol. 11, no. 1, e12.

Jelfs, B, Sun, S, Ghorbani, K & Gilliam, C 2021, '', IEEE Signal Processing Letters, vol. 28, 9380457, pp. 628-632.

Kustner, T, Pan, J, Qi, H, Cruz, G, Gilliam, C, Blu, T, Yang, B, Gatidis, S, Botnar, R & Prieto, C 2021, '', IEEE Transactions on Medical Imaging, vol. 40, no. 12, pp. 3686-3697.

Conference contribution

Nasso, I, Santi, F, Pastina, D, Bekar, A, Antoniou, M & Gilliam, C 2024, . in 2024 IEEE Radar Conference (RadarConf24)., 10549373, Proceedings of the IEEE National Radar Conference, IEEE, 2024 IEEE Radar Conference (RadarConf24), 6/05/24.

Sun, S, Jelfs, B, Ghorbani, K, Matthews, G & Gilliam, C 2022, . in Proceedings of 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2022. Proceedings Asia-Pacific Signal and Information Processing Association Annual Summit and Conference APSIPA ASC, IEEE, pp. 903-910, 2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2022, Chiang Mai, Thailand, 7/11/22.

Angley, D, Mehrkanoon, S, Moran, B, Gilliam, C & Simakov, S 2021, . in ICAS 2021 - 2021 IEEE International Conference on Autonomous Systems, Proceedings., 9551133, 2021 IEEE International Conference on Autonomous Systems (ICAS), Institute of Electrical and Electronics Engineers (IEEE), 2021 IEEE International Conference on Autonomous Systems, ICAS 2021, Virtual, Montreal, Canada, 11/08/21.

Letter

Ristic, B, Gilliam, C & Byrne, M 2021, '', Information Fusion, vol. 71, pp. 11-16.

Preprint

Li, W, Gilliam, C, Wang, X, Kealy, A, Greentree, AD & Moran, B 2022 '' arXiv.

Sun, S, Jelfs, B, Ghorbani, K, Matthews, G & Gilliam, C 2022 ''.

Sun, S, Gilliam, C, Ghorbani, K, Matthews, G & Jelfs, B 2022 '' arXiv, pp. 1-5.

Wang, X, Gilliam, C, Kealy, A, Close, J & Moran, B 2022 '' arXiv.

Wang, X, Kealy, A, Gilliam, C, Haine, S, Close, J, Moran, B, Talbot, K, Williams, S, Hardman, K, Freier, C, Wigley, P, White, A, Szigeti, S & Legge, S 2021 '' arXiv.