Dr Mohsen Naqvi
Lecturer in Signal and Information Processing
- Email: email@example.com
- Telephone: +44 (0)191 208 5966
- Address: School of Engineering
E2.18, Merz Court
Newcastle upon Tyne
Dr Naqvi is Lecturer [Assistant Professor] in Signal and Information Processing at the School of Engineering at Newcastle University.
His main research focus is in multimodal (multi-sensor) signal and information processing for applications in homeland security, smart healthcare systems and future autonomous systems. He has above 70 publications/contributions in his research area. His very recent reserach projects can be seen at Intelligent Sensing Lab.
Qualifications and Awards
- 2015: Certificate for Academic Practice (The Higher Education Academy Accredited), Loughborough University, United Kingdom
- 2006-2009: PhD in Electrical and Electronic Engineering, Loughborough University, United Kingdom
- 1996-2001: BEng in Industrial Electronics Engineering, IIEE/NED University of Engineering and Technology, Karachi, Pakistan
- NESCOM, Research Scholarship, 2005.
- Cardiff University and Loughborough University Awards, provided to students with outstanding research calibre, 2006-2009.
- IEEE Certificate for undergraduate project, 1999-2000.
- 2013-2015: REF Lecturer, Loughborough University, UK
- 2009-2012: Research Fellow, Loughborough University, UK
- 2002-2005: Assistant Manager Technical, NESCOM (the premier research and development organization in Pakistan), Pak
Professional Memberships and Services
- Fellow, The Higher Education Academy (FHEA).
- Senior Member, Institute of Electrical and Electronics Engineers (IEEE)
- Senior Member, IEEE Signal Processing Society
- Member, Phase II University Defence Research Centre (UDRC) in Signal Processing
- Member, International Society of Information Fusion (ISIF)
Special Sessions Organizer and Summer School:
- ISIF/IEEE FUSION 2013, 2014
- UDRC 2015
TPC Memberships and Regular Reviewer:
- IEEE DSP 2013-2016
- ISIF/IEEE FUSION 2013-2016
- EURASIP/IEEE EUSIPCO 2012-2016
- IET/IEEE SSPD 2015
- IEEE, Elsevier and IET journals.
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. He is contributing solutions in:
- Signal and Information Processing for Machine Learning
- Multi-target Tracking for Security and Surveillance
- Multimodal Speech Source Separation
- Multimodal Processing for Human Behaviour Analysis
He always welcomes talented students with good analytical abilities for MSc and PhD projects.
Present PhD Students:
- Mr Yang Sun, Final Year
- Mr Zeyu Fu, Final Year
- Mrs Hayfaa Hussein, Final Year
- Mr Federico Angelini, Second Year
- Mr Yang Xian, Second Year
- Mr Jiawei Yan, First Year
- Miss Ayusha Abbas, First Year
Past PhD Students:
- Dr Yanfeng Liang, 2010-13
- Dr Muhammad Salman Khan, 2011-14
- Dr Ata-ur-Rehman, 2011-14
- Dr Jack Harris, 2012-15
- Dr Segun Aina, 2012-15
- Dr Pengming Feng, 2012-16
- Dr Zeinab Zohny, 2012-16
- Dr Waqas Rafique, 2012-16
- “Multimodal Information Processing for Security and Surveillance”, PEIPF NU, £10.5K
- "Multimodal data processing for automated livestock disease monitoring and environment control system", BBSRC, £8K
- “Multimodal Wide Area Surveillance”, iCASE EPSRC/Thales, 53K
- “Multimodal Wide Area Surveillance”, NU, 36K
- “Signal Processing Solutions for the Networked Battlespace”, EPSRC/Dstl, FEC £4.3M (CI)
- “Signal Processing for Ballistic Missile Kill Assessment in a Networked Multimodal Sensor Environment”, BAE Systems, £22K, (CI)
- “Audio and Video Based Speech Separation for Multiple Moving Sources within a Room Environment”, EPSRC, £700K (Contribution and the research proposal was based on the findings in his PhD studies).
- Various Loughborough University internal funding
He designed, delivered and assessed UG and PG modules:
Signals and Communications I (EEE1005)
Digital Signal Processing and Estimation (EEE3004-EEE8001)
Advanced Multimedia Systems (EEE8010)
2012-2015: Intelligent Signal Processing (Loughborough University)
2012-2015: Information Theory and Coding (Loughborough University)
2012-2015: Digital Signal Processing Fundaments (Loughborough University)
2015/16: Digital Signal Processing and Estimation (EEE3004-EEE8001)
2015/16: Advanced Multimedia Systems (EEE8010)
He teaches on the MSc Programme in Communications and Signal Processing. In addition, every year, he supervise a small number of MSc final projects associated with this programme. For more information about potential projects, please do not hesitate to contact him.
To apply to join this MSc programme please visit: How to Apply.
- Fu Z, Feng P, Angelini F, Chambers JC, Naqvi SM. Particle PHD Filter Based Multiple Human Tracking using Online Group-Structured Dictionary Learning. IEEE Access 2018, 6, 14764-14778.
- Li Q, Ben Y, Tan J, Naqvi SM, Chambers J. Robust Selection of the Degrees of Freedom in the Student's t Distribution through Multiple Model Adaptive Estimation. Signal Processing 2018. In Press.
- Li Q, Ben Y, Naqvi SM, Neasham J, Chambers J. Robust Student’s t-Based Cooperative Navigation for Autonomous Underwater Vehicles. IEEE Transactions on Instrumentation & Measurement 2018, (ePub ahead of Print).
- Sun Y, Wang W, Chambers J, Naqvi MN. Two-Stage Monaural Source Separation in Reverberant Room Environments using Deep Neural Networks. IEEE Trans. Audio Speech and Language Signal Processing 2018. Submitted.
- Feng P, Wang W, Dlay S, Naqvi SM, Chambers JA. Social Force Model based MCMC-OCSVM Particle PHD Filter for Multiple Human Tracking. IEEE Transactions on Multimedia 2017, 19(4), 725-739.
- Sun Y, Rafique W, Chambers JA, Naqvi SM. Underdetermined source separation using time-frequency masks and an adaptive combined Gaussian-Student's t probabilistic model. In: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2017). 2017, New Orleans, LA, USA: IEEE.
- Feng P, Wang W, Naqvi SM, Chambers JA. Adaptive Retrodiction Particle PHD Filter for Multiple Human Tracking. IEEE Signal Processing Letters 2016, 23(11), 1592-1596.
- Rehman A, Naqvi SM, Mihaylova L, Chambers JA. Multi-Target Tracking and Occlusion Handling With Learned Variational Bayesian Clusters and a Social Force Model. IEEE Transactions on Signal Processing 2016, 64(5), 1320-1335.
- Feng P, Wang W, Naqvi SM, Chambers JA. A robust PHD filter with deep learning updating for multiple human tracking. In: 2015 IEEE International Conference on Digital Signal Processing. 2015, Singapore, Asia: IEEE.
- Rivet B, Wang W, Naqvi SM, Chambers JA. Audiovisual Speech Source Separation. IEEE Signal Processing Magazine 2014, 31(3), 125-134.
- Zohny Z, Naqvi SM, Chambers JA. Enhancing MESSL algorithm with robust clustering based on Student's t-distribution. IET Electronics Letters 2014, 50(7), 552-554.
- Shah SM, Samar R, Naqvi SM, Chambers JA. Fractional order constant modulus blind algorithms with application to channel equalisation. Electronics Letters 2014, 250(23), 1702 – 1704.
- Liang L, Naqvi SM, Wang W, Chambers JA. Frequency Domain Blind Source Separation Based on Independent Vector Analysis with a Multivariate Generalized Gaussian Source Prior. In: Naik,GR; Wang,W, ed. Blind Source Separation: Advances in Theory, Algorithms and Applications. Germany: Springer Verlag, 2014, pp.131-150.
- Liang Y, Harris J, Naqvi SM, Chen G, Chambers JA. Independent vector analysis with a generalized multivariate Gaussian source prior for frequency domain blind source separation. Signal Processing 2014, 105, 175-184.
- Barnard M, Koniusz P, Wang W, Kittler J, Naqvi SM, Chambers JA. Robust Multi-Speaker Tracking via Dictionary Learning and Identity Modeling. IEEE Transactions on Multimedia 2014, 16(3), 864-880.
- Yu M, Yu Y, Naqvi SM, Wang L, Chambers JC. An online one class support vector machine based person specific fall detection system for monitoring an elderly individual in a room environment. IEEE Journal of Biomedical and Health Informatics 2013, 17(6), 1002-1014.
- Yu M, Rhuma A, Naqvi SM, Wang L, Chambers JA. An Online One Class Support Vector Machine-Based Person-Specific Fall Detection System for Monitoring an Elderly Individual in a Room Environment. IEEE Journal of Biomedical and Health Informatics 2013, 17(6), 1002-1014.
- 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.
- Khan MS, Naqvi SM, Rehman A, Wang W, Chambers JA. Video-aided model-based source separation in real reverberant rooms. IEEE Transactions on Audio, Speech and Language Processing 2013, 21(9), 1900-1912.
- 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).
- 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.
- 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.
- 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.
- Qaisrani MT, Naqvi SM. A comparison of iterative MIMO receivers under channel uncertainty. European Transactions on Telecommunications 2011, 22(7), 428-432.
- 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.
- 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.