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Dr Mohsen Naqvi

Reader in Signal Processing and AI

Background


  • Reader [Sr. Associate Professor] in Signal Processing led AI
  • Electrical and Electronic Engineering Postgraduate Research Lead (Director) 
  • Deputy Head of Intelligent Sensing and Communications (ISC) Research Group 
  • Director Intelligent Sensing Laboratory (IS Lab)
  • Elected Member IEEE Machine Learning for Signal Processing Technical Committee (2025-2027) 
  • Elected Member IEEE Image, Video, and Multidimensional Signal Processing Technical Committee (2025-2027) 
  • Area Chair IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) (2024, 2025)
  • Associate Editor - IEEE Transactions on Audio, Speech and Language Processing (2019-2024)
  • Associate Editor - IEEE Transactions on Signal Processing (2019-2023)
  • Interim Head of Intelligent Sensing and Communications Group (2022)
  • Programme Director, MSc in Coms. & Signal Processing (2017-2021)
  • Associate Editor - Elsevier Journal on Signal Processing (2018-2022)
  • EDI Champion Faculty of Science, Agriculture and Engineering (SAgE) (2017-2021)
  • External Examiner School of Engineering, Birmingham University (2023-2026)

Dr Naqvi leads a team in Multimodal Signal Processing and AI within the ISC Group. His research contributions have been in human action, activity and behaviour analysis, multiple target detection, localization and tracking, accoustic signal enhancement and separation with applications in homeland security, smart healthcare systems and future autonomous systems. 

He also leads the IS Lab, a unique multi-sensor state-of-the-art research facility developed from the £0.75M funding from NU Vice-Chancellor’s office as part of the University’s £30M Research Investment Fund. NU has an excellent standing in Engineering and the Investment of £70M for Engineering at NU is already underway (/who-we-are/stephenson/future/).

He also successfully contributed to the projects: Multi-Modal Blind Source Separation Algorithms (EPSRC, PhD); Audio and Video Based Speech Separation for Multiple Moving Sources Within a Room Environment (EPSRC, based on the findings in his PhD and PDRA); Signal Processing Solutions for the Networked Battlespace (EPSRC, CI); Multimodal Wide Area Surveillance (Thales, iCASE Award, PI); and Multimodal Data Processing for Automated Livestock Disease Monitoring and Environment Control System (BBSRC, PI).

The above works provided him expertise in multi-target human tracking (), human action recognition and human behaviour analysis (, ), and human speech processing () including the processing power/resources e.g., GPU Server.

Google scholar:  

Professional Memberships and Esteem Indicators:

  • Fellow, The Higher Education Academy (FHEA)
  • Senior Member, Institute of Electrical and Electronics Engineers (IEEE)
  • Senior Member, IEEE Signal Processing Society
  • Member EPSRC College
  • Member UKRI FLF College
  • Member, Phase II University Defence Research Centre (UDRC) in Signal Processing
  • Member International Society of Information Fusion (ISIF) & Member European Association for Signal Processing (EURASIP)
  • Above 120 Publications in Top-tier Journals and World-leading Conferences
  • Special Sessions in leading Conferences e.g., ISIF/IEEE FUSION 2013-2022
  • Summer Schools e.g., UDRC 2015-2017
  • Invited Talks/Seminars e.g., QMUL/HEU/Concordia/Loughborough, etc. 
  • Regularly contributes to the flagship conference in the field of Signal Processing, ICASSP (since 2007) 
  • Regularly Chair Sessions in International Conferences 
  • Contributed Book Chapters 2008-2014

TPC Memberships:

  • IEEE ICASSP, DSP
  • ISIF/IEEE FUSION 
  • EURASIP/IEEE EUSIPCO    
  • IET/IEEE SSPD 

 


Research

Multimodal Signal and Information Processing for seeking a window into human mind and mental state (Artificial Intelligence) for future autonomous systems is the main engineering challenge of his research.


  

Reserach/Funding:

Mental Health Early Diagonosis/AI: Dr Naqvi recently developed collaborations with Faculty of Medical Sciences (FMS) at NU and National Health Services (NHS) to contribute interdisciplinary (Engineering and Medical) AI solutions on Early Diagnosis of Mental Health. The Cumbria, Northumberland, Tyne and Wear NHS () Foundation Trust is one of the largest mental health and disability Trusts in England. He is recently leading a knowledge transfer “Intelligent Sensing in ADHD Trial (ISAT)” and also contributing Multimodal ADHD Dataset and AI with the North-East of England Lead ADHD Consultant and the CNTW-NHS Foundation Trust.

Security and Surveillance: He was one of the key staff members in the LSSCN consortium led by 缅北禁地 within the UDRC Phase II. He was also Co-I in the EPSRC funded project “Signal Processing Solutions for the Networked Battlespace, £3.6M, and the business partners were Dstl, Thales, BAE Systems, and QinetiQ. He also initiated work with Thales delivered “Multimodal Wide Area Surveillance”, project. And now working with defence industry to transfer the knowledge on low-energy and ready-to-use explainable AI-based solutions for downstream-tasks such as vessels behaviour prediction, monitoring, anomaly, and threat detection.

Explainable AI. One of the recent revolutions in S&T and the availability of big multi-sensor data also challenged the experts to transform the human life with AI. The recent advances in AI are, mainly, data driven and it’s our (experts in academia) responsibility to not rely on machine learning/deep learning/AI that is not fully transparent to reveal how the decisions are made and which information from the data (signals) is considered (black-box problem). When decisions can make the difference between life and death or between intervention and non-intervention (e.g., above mentioned, defence (MoD) and healthcare (NHS) applications), it is crucial to rely on explainable AI. Fundamentally, Signal Processing (SP) can better exploit the physics of the multi-sensor signals to extract reliable-information (Engineering approach), opposite to the conventional raw data-grilling, in-common-nowadays, and hence can yield SP led Explainable AI.

  1. Multi-task Learning for GEO-located Multimodal Data, Innovate UK/Thales/EPSRC (PI) (2022-2024)
  2. Intelligent Sensing and AI for Mental Health Detection, BEF/CNTW-NHS Foundation Trust (PI) (2021-2025)
  3. IAA Multimodal Human Security, EPSRC (PI) (2020-2021)
  4. Multimodal Wide Area Surveillance, iCASE EPSRC/Thales (PI) (2017-2019)
  5. Multimodal Information Processing for Security and Surveillance, PEIPF NU (PI) (2017-2018)
  6. Multimodal data processing for automated livestock disease monitoring and environment control system, BBSRC (PI) (2017-2018)
  7. Signal Processing Solutions for the Networked Battlespace, EPSRC/Dstl (CI) (2013-2018)
  8. Signal Processing for BM Kill Assessment in a Networked Multimodal Sensor Environment, BAE Systems (CI) (2014-2015)
  9. Audio and Video Based Speech Separation for Multiple Moving Sources within a Room Environment, EPSRC, (Contribution and the research proposal was based on the findings in his PhD studies) (2010-2013)

Reserach Collaborations:

  • International: Josef Fourier University, Grenoble, France, Universidad Carlos III de Madrid Spain, Chinese Academy of Sciences, Beijing, and Harbin Institute of Technology, China and China University of Mining and Technology.
  • National: Lancaster University U.K., University of Surrey U.K., University of Sheffield U.K.
  • Industry: Dstl, Thales, BAE Systems, QinetiQ, CNTW-NHS Foundation Trust, and CADARA Canada.

PhD Graduated:  

  • Dr Yuxing Yang, 2019-2023 (Research Associate, 缅北禁地, UK)
  • Dr Yi Li, 2019-2023 (Senior Research Associate, Lancaster University, UK)
  • Dr Yang Xian, 2016-2021 (Lecturer, Zhengzhou University, China)
  • Dr Federico Angelini, 2016-2020 (Senior AI/ML Research Engineer, Thales, UK)
  • Dr Yang Sun, 2015-2019 (Research Fellow, Oxford University, UK)
  • Dr Zeyu Fu, 2015-2019 (PDRA at Oxford and now Lecturer, Exeter University, UK)
  • Dr Pengming Feng, 2012-16 (Serving Defence Organisation, China)
  • Dr Zeinab Zohny, 2012-16 (Project Manager at GCG, Qatar)
  • Dr Waqas Rafique, 2012-16 (Lecturer, University College London, UK)
  • Dr Jack Harris, 2012-15 (Severed DSTL and now working in USA).
  • Dr Segun Aina, 2012-15 (Lecturer, Obafemi Awolowo University, Nigeria)
  • Dr Ata-ur-Rehman, 2011-14 (Associate Professor, NUST, Pakistan)
  • Dr Muhammad Khan, 2011-14 (Assistant Professor, Qatar University, Qatar) 
  • Dr Yanfeng Liang, 2010-13 (Serving Defence Organisation, China)

PI/Local Mentoring:

  • Leiyu Xie, 2023 - to date (RA)
  • Yuxing Yang, 2020 - to date (RA)
  • Chris Nash 2022 - 2023 (RA)
  • Lai Xin, 2018 - 2019 (Visiting Academic from SPU, China)
  • Qian Lie, 2017 - 2018 (Visiting Academic from HIT, China)

He always welcomes talented students with good analytical abilities for MSc and PhD projects. 

Teaching

Ø  External Examiner for the School of Engineering, Birmingham University

Ø  Directed/Revamped, MSc in Communications and Signal Processing

Ø  Fellow of The Higher Education Academy

Ø  Certificate for Academic Practice

Ø  Designed, Supervised and Assessed UG Research, Study and Group Projects

Ø  Designed, Supervised and Assessed PGT Research Projects


Ø Designed, Delivered and Assessed UG and PG Modules: 

  1. 2020- :Intelligent Signal Processing (EEE8129)

  2. 2018-2019: Signals and Communications 2 (EEE2009)

  3. 2017-2019: Signals and Communications I (EEE1005) 

  4. 2015-2018: Digital Signal Processing and Estimation (EEE3004-EEE8001) 

  5. 2015-2018: Advanced Multimedia Systems (EEE8010)

  6. 2012-2015: Information Theory and Coding (Loughborough University)

  7. 2012-2015: Digital Signal Processing Fundaments (Loughborough University)


To apply to join this MSc programme please visit: .



Publications

  • Articles

    • Yang Y, Xie L, Fu Z, Yan J, Naqvi SM. . Neurocomputing 2025, 611, 128673.
    • Xie L, Yang Y, Fu Z, Naqvi SM. . IEEE Transactions on Multimedia 2025, 27, 1860-1873.
    • Nash C, Nair R, Naqvi SM. . IEEE Transactions on Artificial Intelligence 2025, 7(2), 1107-1117.
    • Nash C, Nair R, Naqvi SM. . IEEE Transactions on Neural Systems and Rehabilitation Engineering 2024, 32, 3378-3387.
    • Li Y, Nair R, Naqvi SM. . Neuroscience Applied 2024, 3, 104093.
    • Li S, Nair R, Naqvi SM. . IEEE Journal of Translational Engineering in Health and Medicine 2024, 12, 359-370.
    • Li S, Song S, Naqvi SM. . IEEE Transactions on Affective Computing 2025, 16(4), 3465-3480.
    • Li Y, Sun Y, Wang W, Naqvi SM. . IEEE/ACM Transactions on Audio Speech and Language Processing 2023, 31, 1511-1521.
    • Yang Y, Angelini F, Naqvi SM. . IET Image Processing 2023, 17(3), 674-686.
    • Li Y, Sun Y, Wang W, Naqvi SM. Phase-Aware Complex-Cycle-Consistent Self-Supervised Learning for Monaural Speech Enhancement. 2023. Submitted.
    • Nash C, Nair R, Naqvi SM. . IEEE Access 2023, 11, 86297-86317.
    • Li Y, Li S, Nash C, Naqvi SM, Nair R. . J Neurol Neurosurg Psychiatry 2023, 94(12), e2.
    • Li Y, Li S, Naqvi S, Nair R. . Journal of Neurology, Neurosurgery and Psychiatry 2023, 94(12), e2.
    • Abbas A, Neasham J, Naqvi SM. . Electronics 2023, 12(17), 3634.
    • Xie L, Sun Y, Chambers J, Naqvi SM. Human Fall Events Classification with Noisy Labels: Joint Cooperative Training with Trinity Networks. ACM Transactions on Computing for Healthcare 2023. Submitted.
    • Li Y, Naqvi SM, Nair R. . Neuroscience Applied 2023, 2(Suppl. 2), 102835.
    • Yang Y, Fu Z, Naqvi SM. . Neurocomputing 2023, 553, 126561.
    • Li Y, Sun Y, Horoshenkov K, Naqvi SM. . IEEE Transactions on Artificial Intelligence 2022, 3(1), 43-52.
    • Li Y, Sun Y, Naqvi SM. . IET Signal Processing 2021, 14(10), 693-860.
    • Xian Y, Sun Y, Wang W, Naqvi SM. . Neural Networks 2021, 143, 97-107.
    • Xian Y, Sun Y, Wang W, Naqvi SM. . IEEE Journal of Selected Topics in Signal Processing 2021, 15(1), 143-155.
    • Sun Y, Wang W, Chambers J, Naqvi MN. . IEEE/ACM Transactions on Audio Speech and Language Processing 2019, 27(1), 125-139.
    • Fu Z, Angelini F, Chambers JC, Naqvi SM. . IEEE Transactions on Multimedia 2019, 21(9), 2277-2291.
    • Sun Y, Xian Y, Wang W, Naqvi MN. . IEEE Journal of Selected Topics in Signal Processing 2019, 13(2), 359-369.
    • Ona DI, Tian GY, Naqvi SM. . IEEE Sensors Journal 2020, 20(5), 2560-2569.
    • Lai X, Zhou L, Fu Z, Naqvi SM, Chambers J. . IET Image Processing 2019, 13(12), 2152-2161.
    • Ona DI, Tian GY, Sutthaweekul R, Naqvi SM. . Measurement 2019, 144, 402-409.
    • Angelini F, Fu Z, Long Y, Shao L, Naqvi SM. . IEEE Transactions on Multimedia 2019, 22(6), 1433-1446.
    • Li Q, Ben Y, Naqvi SM, Neasham J, Chambers J. . IEEE Transactions on Instrumentation & Measurement 2018, 67(8), 1762-1777.
    • Li Q, Ben Y, Tan J, Naqvi SM, Chambers J. . Signal Processing 2018, 153, 255-265.
    • Fu Z, Feng P, Angelini F, Chambers JC, Naqvi SM. . IEEE Access 2018, 6, 14764-14778.
    • Feng P, Wang W, Dlay S, Naqvi SM, Chambers JA. . IEEE Transactions on Multimedia 2017, 19(4), 725-739.
    • Zohny Z, Naqvi SM, Wang W, Chambers JA. Robust Variational Bayesian Clustering for Speech Separation. Arcive 2016.
    • Rehman A, Naqvi SM, Mihaylova L, Chambers JA. . IEEE Transactions on Signal Processing 2016, 64(5), 1320-1335.
    • Feng P, Wang W, Naqvi SM, Chambers JA. . IEEE Signal Processing Letters 2016, 23(11), 1592-1596.
    • Barnard M, Koniusz P, Wang W, Kittler J, Naqvi SM, Chambers JA. . IEEE Transactions on Multimedia 2014, 16(3), 864-880.
    • Liang Y, Harris J, Naqvi SM, Chen G, Chambers JA. . Signal Processing 2014, 105, 175-184.
    • Shah SM, Samar R, Naqvi SM, Chambers JA. . Electronics Letters 2014, 250(23), 1702 – 1704.
    • Zohny Z, Naqvi SM, Chambers JA. . IET Electronics Letters 2014, 50(7), 552-554.
    • Rivet B, Wang W, Naqvi SM, Chambers JA. . IEEE Signal Processing Magazine 2014, 31(3), 125-134.
    • Khan MS, Naqvi SM, Rehman A, Wang W, Chambers JA. . IEEE Transactions on Audio, Speech and Language Processing 2013, 21(9), 1900-1912.
    • Liang Y, Chen G, Naqvi SM, Chambers JA. Independent vector analysis with multivariate student's t-distribution source prior for speech separation. IET Electronics Letters 2013, 49(16), 1035-1036.
    • Yu M, Rhuma A, Naqvi SM, Wang L, Chambers JA. . IEEE Journal of Biomedical and Health Informatics 2013, 17(6), 1002-1014.
    • Yu M, Rhuma A, Naqvi SM, Wang L, Chambers JA. Posture recognition based fall detection system for monitoring an elderly person in a smart home environment. IEEE Trans. Information Technology in BioMedicine 2012, 16(6), 1274-1286.
    • Yu M, Naqvi SM, Chambers JA. One class boundary method classifiers for application in a video-based fall detection system. IET Computer Vision 2012, 6(2), 90-100.
    • Naqvi SM, Wang W, Khan MS, Barnard M, Chambers JA. Multimodal (audio-visual) source separation exploiting multi-speaker tracking, robust beamforming, and time-frequency masking. IET Signal Processing 2012, 6, 466-477.
    • Liang Y, Naqvi SM, Chambers JA. Audio video based fast fixed-point independent vector analysis for multisource separation in a room environment. EURASIP Journal on Advances in Signal Processing 2012, 213(183).
    • Yu M, Rhuma A, Naqvi SM, Chambers CJ. An Improved Directed Acyclic Graph Support Vector Machine. Journal of Measurement Science and Instrumentation 2011, 2, 360-367.
    • Qaisrani MT, Naqvi SM. A comparison of iterative MIMO receivers under channel uncertainty. European Transactions on Telecommunications 2011, 22(7), 428-432.
    • Naqvi SM, Yu M, Chambers JA. A multimodal approach to blind source separation of moving sources. IEEE Journal of Selected Topics in Signal Processing 2010, 4(5), 895-910.

  • Book Chapters

    • Liang L, Naqvi SM, Wang W, Chambers JA. . In: Naik,GR; Wang,W, ed. Blind Source Separation: Advances in Theory, Algorithms and Applications. Germany: Springer Verlag, 2014, pp.131-150.
    • Naqvi SM, Zhang Y, Yu M, Chambers JA. A Multimodal Solution to Blind Source Separation of Moving Sources. In: W. Wang, ed. Machine Audition: Principles, Algorithms and Systems. IGI Global USA, 2011, pp.107-125.

  • Conference Proceedings (inc. Abstracts)

    • Li Y, Nair R, Naqvi SM. . In: IEEE Symposium Series on Computational Intelligence (SSCI). 2024, Mexico City, Mexico: IEEE.
    • Li Y, Nair R, Naqvi SM. . In: 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW). 2024, Seoul: IEEE.
    • Yan J, Yang Y, Naqvi SM. . In: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2024). 2024, Seoul: IEEE.
    • Xie L, Angelini F, Naqvi SM. . In: 27th International Conference on Information Fusion (FUSION 2024). 2024, Venice, Italy.
    • Nash C, Nair R, Naqvi SM. . In: 27th International Conference on Information Fusion (FUSION 2024). 2024, Venice, Italy.
    • Li Y, Li S, Naqvi SM. . In: 27th International Conference on Information Fusion (FUSION 2024). 2024, Venice, Italy.
    • Xie L, Yang Y, Fu Z, Naqvi SM. . In: International Conference on Acoustics, Speech and Signal Processing (ICASSP 2023). 2023, Rhodes Island, Greece: IEEE.
    • Abbas A, Neasham J, Naqvi SM. . In: IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2023). 2023, Istanbul, Turkiye: IEEE.
    • Li Y, Sun Y, Wang W, Naqvi MN. . In: Sensor Signal Processing for Defence Conference (SSPD). 2023, Edinburgh, United Kingdom: IEEE.
    • Li Y, Li S, Nash C, Naqvi SM, Nair R. . In: British Neuro Psychiatry Association (BNPA) Annual Meeting. 2023, London.
    • Li Y, Li S, Nash C, Naqvi S, Nair R. . In: 36th Annual Conference of the British Neuropsychiatry Association. 2023, London: BMJ Publishing Group.
    • Li S, Sun Y, Nair R, Naqvi SM. . In: 2023 IEEE International Performance, Computing, and Communications Conference (IPCCC). 2023, Anaheim, CA, USA: IEEE.
    • Li S, Nair R, Naqvi SM. . In: 2023 IEEE SENSORS. 2023, Vienna, Austria: Institute of Electrical and Electronics Engineers.
    • Nash C, Nair R, Naqvi SM. . In: International Conference on Artificial Intelligence Robotics, Signal and Image Processing (AIRoSIP). 2023, Indonesia.
    • Li Y, Yang Y, Nair R, Naqvi MN. . In: 31st European Symposium on Artificial Neural Networks. 2023, Bruges.
    • Yang Y, Fu Z, Naqvi SM. . In: 31st European Signal Processing Conference (EUSIPCO 2023). 2023, Helsinki, Finland: EUSIPCO.
    • Li Y, Sun Y, Naqvi SM. . In: IEEE International Conference on Multisensor Fusion and Integration (MFI 2022). 2022, Bedford, United Kingdom: IEEE.
    • Xie L, Sun Y, Chambers J, Naqvi SM. . In: 2022 25th International Conference on Information Fusion (FUSION). 2022, Linköping, Sweden: IEEE.
    • Nash C, Nair R, Naqvi SM. . In: 2022 25th International Conference on Information Fusion (FUSION). 2022, Linköping, Sweden: IEEE.
    • Yang Y, Fu Z, Naqvi SM. . In: International Conference on Acoustics, Speech and Signal Processing (ICASSP 2022). 2022, Singapore: IEEE.
    • Yang Y, Xian Y, Fu Z, Naqvi SM. . In: 2021 IEEE 24th International Conference on Information Fusion (FUSION). 2021, Sun City, South Africa: IEEE.
    • Xie L, Yang Y, Zeyu Z, Naqvi SM. Skeleton-based Fall Events Classification with Data Fusion. In: 2021 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems. 2021. In Preparation.
    • Xian Y, Sun Y, Wang W, Naqvi SM. . In: European Signal Processing Conference (EUSIPCO). 2020, Dublin, Ireland (virtual): EURASIP.
    • Yan J, Angelini F, Naqvi SM. . In: ICASSP 2020. 2020, Barcelona, Spain: IEEE.
    • Yang Y, Fu Z, Naqvi SM. . In: 13th International Conference on Signal Processing and Communication Systems (ICSPCS 2019). 2020, Gold Coast, QLD, Australia: IEEE.
    • Xian Y, Sun Y, Wang W, Naqvi SM. . In: Sensor Signal Processing for Defence Conference (SSPD). 2019, Brighton, UK: IEEE.
    • Hussein A, Naqvi SM, Chambers J. . In: 10th International Multi-Conference on Complexity, Informatics and Cybernetics (IMCIC 2019). 2019, Orlando, Florida, USA: International Institute of Informatics and Systemics.
    • Sun Y, Xian Y, Wang W, Naqvi SM. . In: 13th International Conference on Signal Processing and Communication Systems (ICSPCS). 2019, Gold Coast, Australia: IEEE.
    • Li Y, Sun Y, Naqvi SM. . In: Sensor Signal Processing for Defence Conference (SSPD). 2019, Brighton, UK: IEEE.
    • Li Y, Sun Y, Naqvi SM. . In: 13th International Conference on Signal Processing and Communication Systems (ICSPCS). 2019, Gold Coast, Australia: IEEE.
    • Angelini F, Yan J, Naqvi SM. . In: 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 2019, Brighton, UK: IEEE.
    • Xian Y, Sun Y, Wang W, Naqvi SM. . In: 13th International Conference on Signal Processing and Communication Systems (ICSPCS). 2019, Gold Coast, Australia: IEEE.
    • Li Y, Sun Y, Naqvi SM. . In: 27th European Signal Processing Conference (EUSIPCO). 2019, A Coruña, Spain.
    • Li Y, Sun Y, Naqvi SM. . In: 27th European Signal Processing Conference (EUSIPCO). 2019, A Coruna, Spain.
    • Angelini F, Naqvi SM. . In: 22nd International Conference on Information Fusion (FUSION). 2019, Ottawa, Canada.
    • Fu Z, Xin L, Naqvi SM. . In: 22nd International Conference on Information Fusion (FUSION). 2019, Ottawa, Canada.
    • Yang Y, Fu Z, Naqvi SM. . In: 13th International Conference on Signal Processing and Communication Systems (ICSPCS). 2019, Gold Coast, Australia: IEEE.
    • Abbas A, Neasham J, Naqvi SM. . In: 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 2019, Brighton, UK: IEEE.
    • FU Z, Chambers JA, Naqvi MN. . In: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2018). 2018, Calgary, Alberta, Canada: IEEE.
    • Xian Y, Sun Y, Chambers JA, Naqvi SM. . In: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2018). 2018, Calgary, Alberta, Canada: IEEE.
    • Sun Y, Wang Y, Chambers JA, Naqvi SM. . In: 2018 26th European Signal Processing Conference (EUSIPCO). 2018, Rome, Italy: Elsevier BV.
    • Hussein H, Angelini F, Naqvi M, Chambers JA. . In: 2018 9th International Symposium on Signal, Image, Video and Communications (ISIVC). 2018, Rabat, Morocco: IEEE.
    • Fu Z, Naqvi SM, Chambers JA. . In: 2018 21st International Conference on Information Fusion, FUSION 2018. 2018, Cambridge, UK: IEEE.
    • Angelini F, FU Z, Chambers JA, Naqvi MN. . In: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2018). 2018, Calgary, Alberta, Canada: IEEE.
    • Sun Y, Rafique W, Chambers JA, Naqvi SM. . In: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2017). 2017, New Orleans, LA, USA: IEEE.
    • Hussein A, Naqvi SM, Chambers J. . In: 22nd International Conference on Digital Signal Processing (DSP). 2017, London: IEEE.
    • Fu Z, Feng P, Mohsen Naqvi S, Chambers JA. . In: International Conference on Digital Signal Processing (DSP). 2017, Beijing, China: IEEE.
    • Fu Z, Feng P, Naqvi SM, Chambers JA. . In: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 2017, New Orleans, LA, USA: Institute of Electrical and Electronics Engineers Inc.
    • Fu Z, Feng P, Naqvi M, Chambers JA. . In: International Conference on Acoustics, Speech and Signal Processing (ICASSP 2017). 2017, New Orleans: IEEE.
    • Sun Y, Zhu L, Chambers JA, Naqvi SM. . In: 22nd International Conference on Digital Signal Processing, DSP. 2017, London, UK: Institute of Electrical and Electronics Engineers Inc.
    • Sun Y, Xian Y, Feng P, Chambers JA, Naqvi SM. . In: Sensor Signal Processing for Defence Conference (SSPD). 2017, London: IEEE.
    • Fu Z, Naqvi SM, Chambers JA. . In: Sensor Signal Processing for Defence Conference (SSPD 2017). 2017, London: IEEE.
    • Sun Y, Rafique W, Chambers JA, Naqvi SM. . In: 11th IMA International Conference on Mathematics in Signal Processing. 2016, Birmingham, UK: Institute of Mathematics and its Applications.
    • Feng P, Wang W, Naqvi M, Chambers JA. . In: 41st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016). 2016, Shanghai, China: IEEE.
    • FU Z, Chambers JA, Naqvi MN. Robust Particle PHD Filter with Sparse Representation for Multi-Target Tracking. 2016. In Preparation.
    • Rafique W, Naqvi SM, Chambers JA. . In: 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM). 2016, Rio, Brazil: IEEE Computer Society.
    • Rafique W, Erateb S, Naqvi SM, Dlay SS, Chambers JA. . In: 24th European Signal Processing Conference (EUSIPCO). 2016, Budapest, Hungary: Institute of Electrical and Electronics Engineers.
    • Huang YL, Zhang YG, Li N, Naqvi SM, Chambers J. . In: 19th International Conference on Information Fusion (FUSION). 2016, Heidelberg, Germany: Institute of Electrical and Electronics Engineers.
    • Huang YL, Zhang YG, Li N, Naqvi SM, Chambers J. . In: 19th International Conference on Information Fusion (FUSION). 2016, Heidelberg, Germany: Institute of Electrical and Electronics Engineers.
    • Feng PM, Wang WW, Naqvi SM, Chambers JA. . In: 2015 Sensor Signal Processing for Defence (SSPD). 2015, Edinburgh, UK: IEEE.
    • Feng P, Wang W, Naqvi M, Chambers JA. . In: SSPD 2015. 2015, Edinburgh, UK.
    • Rafique W, Naqvi SM, Chambers JA. . In: 2nd IET International Conference on Intelligent Signal Processing 2015 (ISP). 2015, London, UK: Institution of Engineering and Technology.
    • Feng P, Yu M, Naqvi M, Wang W, Chambers JA. . In: EUSIPCO 2015. 2015, Nice, France.
    • Feng P, Wang W, Naqvi SM, Chambers JA. . In: 2015 IEEE International Conference on Digital Signal Processing. 2015, Singapore, Asia: IEEE.
    • Sher D, Murtagh MJ, Naqvi S, Crowley P, White M. . In: International Union of Health Education and Health Promotion Conference. 2001, Paris, France.