Dr Mohammed Jahangir MIET CENG

Mohammed Jahangir

School of Engineering
Research Fellow

Contact details

Telephone
07815775971
Email
m.jahangir@bham.ac.uk
Twitter
@Mohamme63116784
View my research portal

Mohammed Jahangir (B.Sc. Ph.D., C.Eng, MIET) is the lead senior research fellow at the University of Birmingham Quantum Technology Hub Timing and Navigation programme. He is responsible for the development of a fully coherent quantum enabled networked staring radar. Having graduated with 1st class honours from Imperial College he joined the UK MoD research centre in Worcestershire to embark on a research career on surveillance radars. He obtained his PhD from UCL in 2000 on coherent radar clutter statistics. He has nearly three decades experience of working on many aspects of surveillance systems for both defence and the civil sector. He has widely collaborated with academia and industry in his pursuit to drive innovation in radar techniques. In 2013 he joined Aveillant Limited in Cambridge to be the R&D lead for the staring holographic radar and was recognised as a world leading expert on wind farm mitigation and counter drone surveillance. His current focus is on multi-function networked radar that harnesses persistent dwell to track difficult targets in complex clutter environment. He has several patents and published over 50 papers and three book chapters. He is the chair of the EMSIG UK Radar Society ASPIRE focus group, serves as a PRI for the IET Chartership registration and is a keen STEM ambassador.

Qualifications

  • Doctor of Philosophy, University College London, London, 2000
  • Bachelor of Engineering (Electrical and Electronic Engineering), Imperial College, London,1st Class Hons, 1992
  • A-level, Cauldon College, Stoke-on-Trent, UK, 5 A grades plus Special Paper in Pure Maths, 1989
  • Chartered Engineer (CENG), MIET, MIEEE

Postgraduate supervision

  • Jithin Kannanthara
  • Darren Griffiths
  • Daniel White

Research

Quantum-enabled radar installation at the University of Birmingham
Quantum timing research at the UK Quantum Technology Hub Sensors and Timing
Field trials at Cranfield Airport
Using quantum technology to improve radar

Other activities

  • Chair of the EMSIG UK Radar Society ASPIRE focus group
  • Professional Registration Interviewer for IET Chartership registration
  • STEM Ambassador
  • Member of the technical programme for multiple radar conference e.g IEEE Radar 2021 & 2022, EuMW2021

Publications

Recent publications

Article

DALE, H, Baker, C, Antoniou, M, Jahangir, M, Atkinson, G & Harman, S 2021, 'SNR dependent drone classification using convolutional neural networks', IET Radar, Sonar and Navigation, vol. 16, no. 1, pp. 22-33. https://doi.org/10.1049/rsn2.12161

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

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

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

Dale, H, Baker, C, Antoniou, M & Jahangir, M 2020, An initial investigation into using convolutional neural networks for classification of drones. in 2020 IEEE International Radar Conference, RADAR 2020., 09114745, 2020 IEEE International Radar Conference, RADAR 2020, Institute of Electrical and Electronics Engineers (IEEE), pp. 618-623, 2020 IEEE International Radar Conference, RADAR 2020, Washington, United States, 28/04/20. https://doi.org/10.1109/RADAR42522.2020.9114745

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