Dr Michail Antoniou BEng, Ph.D, AFHEA, SMIEEE

Dr Michail Antoniou

School of Engineering
Reader in RF Sensing Systems

Contact details

Telephone
+44 (0) 121 414 7119
Email
m.antoniou@bham.ac.uk
View my research portal
Address
Department of Electronic, Electrical and Systems Engineering
School of Engineering
Microwave Integrated Systems Laboratory
University of Birmingham
Gisbert Kapp
University of Birmingham
Edgbaston
Birmingham
B15 2TT
UK

Michail is a Reader in RF Sensing Systems within the Microwave Integrated Systems Laboratory (MISL) at the Department of Electronic, Electrical and Systems Engineering. His main research interests include Synthetic Aperture Radar (SAR), bi-/multi-static radar, passive radar, MIMO and cognitive/bio-inspired radar.  

He has published more than 90 papers in peer reviewed journals and international conferences, and has led research funded by DSTL, the European Commission (H2020), the European Space Agency, the British Council, and industry in this area. He has delivered workshops in several international radar conferences, in addition to serving as a technical review committee member and session chair/co-chair.

Michail is a member of NATO SETs 227 and 250 on cognitive radar and multidimensional radar imaging, respectively, an Overseas Expert for Xidian University’s Centre for Cognitive Radar Detection, Imaging and Target Recognition, and the co-chair of the SAR Focus Group of the UK Radar Society (EMSIG). He is also an Associate Editor for MDPI’s Remote Sensing Journal, as well as a regular reviewer for IEEE, IET and MDPI journals.

Qualifications

  • IEEE Senior Member, 2018
  • Associate Fellow of the HEA, 2013
  • PhD in Radar Systems, University of Birmingham, 2007
  • BEng (Hons) in Electronic and Communications Engineering, University of Birmingham, 2003

Biography

Michail Antoniou received a B.Eng (Hons) in Electronic and Communications Engineering and a Ph.D degree in radar sensors and systems from the University of Birmingham, UK, in 2003 and 2007, respectively.

From 2006 to 2011 he was a Research Fellow at the Microwave Integrated Systems Laboratory, University of Birmingham, UK. In 2011 he joined the Department of Electronic, Electrical and Systems Engineering at the University of Birmingham as a Lecturer, being promoted to Senior Lecturer in 2015 and Reader in 2019. He currently leads a team of researchers on radar systems and signal processing, including Synthetic Aperture Radar (SAR), bi-/multi-static radar, passive radar, MIMO and cognitive/bio-inspired radar.

Teaching

  • Introduction to Communications (Level M)
  • LM Radar and Satellite Navigation (Level M)

Postgraduate supervision

Completed:

  • Zhangfan Zeng: Passive SAR imaging with GNSS transmitters
  • Dimitrios Tzagkas: Coherent Change Detection with Passive SAR
  • Manuel Crespo: Wind turbine monitoring using short-range radar sensors
  • Alp Sayin: Ultrasonic MIMO arrays for short-range automotive sensing
  • Sukhjit Pooni: MIM towed array radar

  • Khairul Khaizi Mohd Shariff: Vehicle speed over ground estimation with Doppler radar sensor

Current:

  • George Atkinson: Passive SAR imaging with DVB-T transmitters
  • Ussanai Nithirochananont: Multi-static SAR imaging
  • Ellis Humphreys: Cognitive array radar architectures for improved detection
  • Furkan Korkmaz: MIMO SAR
  • Galen Reich: Aspects of bio-inspired radar systems and signal processing

Future:

For enquires, please contact Dr. Antoniou directly.

Research

Research Interests

  • Synthetic Aperture Radar (SAR)
  • Bi-/Multi-static radar
  • Passive radar
  • MIMO radar
  • Cognitive/bio-inspired radar

Research Grants (PI)

  • Passive micro-satellite based SAR for persistent large area monitoring (PASSAT), Phase 1&2: DSTL, 2015-2018
  • Persistent surveillance from air using a MIMO towed array radar (SIMITAR), Phase 1&2: DSTL, 2015-2017
  • Galileo based passive radar system for maritime surveillance (spyGLASS): H2020, 2015-2017
  • Seeing with Sound: Global Innovation Initiative, 2014-2016
  • Galileo AltBOC signal exploitation for Synthetic Aperture Radar Imaging (BSAR): European Space Agency, 2014-2016
  • MIMO sensor array for short-range, high-resolution automotive sensing: Jaguar Land Rover (PhD scholarship), 2013-2016
  • Wind turbine structural health assessment using passive RF sensors: EPSRC via ISF, 2012-2013

Research Grants (Co-I)

  • Passive missile-borne radar (PAMIR), Phase 1&2: DSTL, 2015/2017
  • Speed over Ground estimation: Jaguar Land Rover, 2011 - 2013

Other activities

  • Member of NATO SET-227 – Cognitive Radar
  • Member of NATO SET-250 – Multi-dimensional Radar Imaging
  • Associate Editor, MDPI Remote Sensing Journal

Publications

Recent publications

Article

Korkmaz, F & Antoniou, M 2022, 'A New Concept of Contiguous-Swath SAR Imaging with High Resolution: Strip-Spot SAR †', Sensors, vol. 22, no. 23, 9153. https://doi.org/10.3390/s22239153

Thaler, L, Norman, LJ, De Vos, HPJC, Kish, D, Antoniou, M, Baker, CJ & Hornikx, MCJ 2022, 'Human Echolocators Have Better Localization Off Axis', Psychological Science, vol. 33, no. 7, pp. 1143-1153. https://doi.org/10.1177/09567976211068070

Bekar, A, Antoniou, M & Baker, C 2021, 'Low-cost, high-resolution, drone-borne SAR imaging', IEEE Transactions on Geoscience and Remote Sensing. https://doi.org/10.1109/TGRS.2021.3085235

Guo, L, Antoniou, M & Baker, C 2021, 'Memory-augmented cognitive radar for obstacle avoidance using nearest steering vector search', IET Radar, Sonar and Navigation, vol. 15, no. 1, pp. 51-61. https://doi.org/10.1049/rsn2.12012

Conference contribution

Griffiths, D, Jahangir, M, Kannanthara, J, Baker, C, Antoniou, M & Singh, Y 2023, Direct signal synchronization for staring passive bistatic radar. in International Conference on Radar Systems (RADAR 2022). International Conference on Radar Systems, Institution of Engineering and Technology (IET), pp. 220–225, International Conference on Radar Systems (RADAR 2022), Edinburgh, United Kingdom, 24/10/22. https://doi.org/10.1049/icp.2022.2319

Dale, H, Jahangir, M, Baker, CJ, Antoniou, M, Harman, S & Ahmad, BI 2022, Convolutional Neural Networks for Robust Classification of Drones. in 2022 IEEE Radar Conference (RadarConf22)., 9764172, Proceedings of the IEEE Radar Conference, IEEE, 2022 IEEE Radar Conference, RadarConf 2022, New York City, United States, 21/03/22. https://doi.org/10.1109/RadarConf2248738.2022.9764172

White, D, Jahangir, M, Antoniou, M, Baker, C, Thiyagalingam, J, Harman, S & Bennett, C 2022, Multi-rotor Drone Micro-Doppler Simulation Incorporating Genuine Motor Speeds and Validation with L-band Staring Radar. in 2022 IEEE Radar Conference (RadarConf22)., 9764352, Proceedings of the IEEE Radar Conference, IEEE, 2022 IEEE Radar Conference, RadarConf 2022, New York City, United States, 21/03/22. https://doi.org/10.1109/RadarConf2248738.2022.9764352

Jones, JM, Griffiths, D, Kannanthara, J, Jahangir, M, Antoniou, M, Baker, C, Bongs, K & Singh, Y 2022, Quantum Enabled Radar Sensing. in 2022 IEEE International Topical Meeting on Microwave Photonics (MWP)., 9997763, IEEE International Topical Meeting on Microwave Photonics, Institute of Electrical and Electronics Engineers (IEEE), 2022 IEEE International Topical Meeting on Microwave Photonics, MWP 2022, Orlando, United States, 3/10/22. https://doi.org/10.1109/MWP54208.2022.9997763

Dale, H, Baker, C, Antoniou, M, Jahangir, M & Atkinson, G 2021, A comparison of convolutional neural networks for low SNR radar classification of drones. in 2021 IEEE Radar Conference (RadarConf21): Radar on the Move., 9455181, IEEE National Radar Conference - Proceedings, Institute of Electrical and Electronics Engineers (IEEE), pp. 1-5, 2021 IEEE Radar Conference, RadarConf 2021, Atlanta, United States, 8/05/21. https://doi.org/10.1109/RadarConf2147009.2021.9455181

Jahangir, M, Baker, CJ, Antoniou, M, Griffin, B, Balleri, A, Money, D & Harman, S 2021, Advanced cognitive networked radar surveillance. in 2021 IEEE Radar Conference (RadarConf21): Radar on the Move., 9455245, IEEE National Radar Conference - Proceedings, Institute of Electrical and Electronics Engineers (IEEE), pp. 1-6, 2021 IEEE Radar Conference, RadarConf 2021, Atlanta, United States, 8/05/21. https://doi.org/10.1109/RadarConf2147009.2021.9455245

Humphreys, E, Antoniou, M, Baker, C & Stafford, W 2021, Cognitive approaches to detection of small targets. in 2020 17th European Radar Conference (EuRAD)., 9337301, European Radar Conference (EURAD), Institute of Electrical and Electronics Engineers (IEEE), pp. 366-369, 17th European Radar Conference, EuRAD 2020, Utrecht, Netherlands, 13/01/21. https://doi.org/10.1109/EuRAD48048.2021.00100

Dale, H, Antoniou, M, Baker, CJ, Jahangir, M & Catherall, A 2021, Convolutional Neural Networks for Drone Model Classification. in 2021 18th European Radar Conference (EuRAD). European Radar Conference (EURAD), Institute of Electrical and Electronics Engineers (IEEE), pp. 361-364, 18th European Radar Conference, EuRAD 2021, London, United Kingdom, 5/04/22. https://doi.org/10.23919/EuRAD50154.2022.9784563

Jahangir, M, Jones, JM, Kannanthara, J, Baker, CJ, Bongs, K, Antoniou, M & Singh, Y 2021, Development of Quantum Enabled Staring Radar with Low Phase Noise. in 2021 18th European Radar Conference (EuRAD). European Radar Conference (EURAD), Institute of Electrical and Electronics Engineers (IEEE), pp. 225-228, 18th European Radar Conference, EuRAD 2021, London, United Kingdom, 5/04/22. https://doi.org/10.23919/EuRAD50154.2022.9784517

Bekar, A, Antoniou, M & Baker, CJ 2021, High-resolution drone-borne SAR using off-the-shelf high-frequency radars. in 2021 IEEE Radar Conference (RadarConf21): Radar on the Move., 9455342, IEEE National Radar Conference - Proceedings, Institute of Electrical and Electronics Engineers (IEEE), pp. 1-6, 2021 IEEE Radar Conference, RadarConf 2021, Atlanta, United States, 8/05/21. https://doi.org/10.1109/RadarConf2147009.2021.9455342

Jahangtr, M, Atkinson, GM, Antoniou, M, Baker, CJ, Sadler, JP & Reynolds, SJ 2021, Measurements of birds and drones with L-band staring radar. in G Lange (ed.), 2021 21st International Radar Symposium, IRS 2021., 9466224, Proceedings International Radar Symposium, vol. 2021-June, IEEE Computer Society Press, 21st International Radar Symposium, IRS 2021, Berlin, Germany, 21/06/21. https://doi.org/10.23919/IRS51887.2021.9466224

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