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
View my research portal
Address
Department of Electronic, Electrical and Systems Engineering
University of Birmingham
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 of Birmingham.

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 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.

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  Dr Gilliam’s website.

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

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

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, 'Improving measurement performance via fusion of classical and quantum accelerometers', Journal of Navigation. https://doi.org/10.1017/s0373463322000637

Wang, X, Gilliam, C, Kealy, A, John Close & Moran, B 2023, 'Probabilistic Map Matching for Robust Inertial Navigation Aiding', NAVIGATION: Journal of the Institute of Navigation, vol. 70, no. 2, navi.583. https://doi.org/10.33012/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, 'Self-supervised motion-corrected image reconstruction network for 4D magnetic resonance imaging of the body trunk', APSIPA Transactions on Signal and Information Processing, vol. 11, no. 1, e12. https://doi.org/10.1561/116.00000039

Jelfs, B, Sun, S, Ghorbani, K & Gilliam, C 2021, 'An adaptive all-pass filter for time-varying delay estimation', IEEE Signal Processing Letters, vol. 28, 9380457, pp. 628-632. https://doi.org/10.1109/LSP.2021.3065889

Kustner, T, Pan, J, Qi, H, Cruz, G, Gilliam, C, Blu, T, Yang, B, Gatidis, S, Botnar, R & Prieto, C 2021, 'LAPNet: non-rigid registration derived in k-space for magnetic resonance imaging', IEEE Transactions on Medical Imaging, vol. 40, no. 12, pp. 3686-3697. https://doi.org/10.1109/TMI.2021.3096131

Wang, X, Kealy, A, Li, W, Jelfs, B, Gilliam, C, May, SL & Moran, B 2021, 'Toward autonomous uav localization via aerial image registration', Electronics (Switzerland), vol. 10, no. 4, 435. https://doi.org/10.3390/electronics10040435

Conference contribution

Nasso, I, Santi, F, Pastina, D, Bekar, A, Antoniou, M & Gilliam, C 2024, Target shape reconstruction from multi-perspective shadows in drone-borne SAR systems. in 2024 IEEE Radar Conference (RadarConf24)., 10549373, Proceedings of the IEEE National Radar Conference, IEEE, 2024 IEEE Radar Conference (RadarConf24), 6/05/24. https://doi.org/10.1109/RadarConf2458775.2024.10549373

Sun, S, Jelfs, B, Ghorbani, K, Matthews, G & Gilliam, C 2022, Landmark Management in the Application of Radar SLAM. 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. https://doi.org/10.23919/APSIPAASC55919.2022.9980051

Angley, D, Mehrkanoon, S, Moran, B, Gilliam, C & Simakov, S 2021, Improving automated search for underwater threats using multistatic sensor fields by incorporating unconfirmed track information. 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. https://doi.org/10.1109/ICAS49788.2021.9551133

Letter

Ristic, B, Gilliam, C & Byrne, M 2021, 'Performance assessment of a system for reasoning under uncertainty', Information Fusion, vol. 71, pp. 11-16. https://doi.org/10.1016/j.inffus.2021.01.006

Preprint

Li, W, Gilliam, C, Wang, X, Kealy, A, Greentree, AD & Moran, B 2022 'Gravity aided navigation using Viterbi map matching algorithm' arXiv. https://doi.org/10.48550/arXiv.2204.10492

Sun, S, Jelfs, B, Ghorbani, K, Matthews, G & Gilliam, C 2022 'Landmark Management in the Application of Radar SLAM'.

Sun, S, Gilliam, C, Ghorbani, K, Matthews, G & Jelfs, B 2022 'Mapping extended landmarks for radar SLAM' arXiv, pp. 1-5. https://doi.org/10.48550/arXiv.2210.17207

Wang, X, Gilliam, C, Kealy, A, Close, J & Moran, B 2022 'Probabilistic map matching for robust inertial navigation aiding' arXiv. https://doi.org/10.48550/arXiv.2203.16932

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 'Enhancing inertial navigation performance via fusion of classical and quantum accelerometers' arXiv. https://doi.org/10.48550/arXiv.2103.09378

View all publications in research portal