Dr Mohsen Naqvi
- Email: email@example.com
- Telephone: +44 (0)191 208 5966
- Address: E2.18
School of Engineering
Newcastle upon Tyne NE17RU
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.
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:
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.
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
Past MSc Students:
- Mr Yang Liu, 2012-13
- Mr Abdullahi Daniyan, 2013-14
- Mr Chong Huang, 2014-15
- Mr Qi Qi, 2014-15
- Mr Yang Xian, 2015-16
- Mr Gancheng Guo, 2015-16
- Mr Tao Fan, 2015-16
- Mr Mustafa Mulla, 2015-16
Present PhD Students:
- Mr Yang Sun, Second Year
- Mr Zeyu Fu, Second Year
- Mr Denis Ona, Second Year
- Mrs Hayfaa Hussein, Second Year
- Mr Federico Angelini, First Year
- Mr Yang Xian, First Year
Present MSc Students:
- Mrs Radha Rajaput
- Mr Heheng Xu
- Mr Yunbin Zheng
- “Multimodal Information Processing for Security and Surveillance”, PEIPF NU, £10.5K (PI)
- “Multimodal Wide Area Surveillance”, iCASE EPSRC/Thales, 53K
- “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:
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)
Digital Signal Processing and Estimation (EEE3004-EEE8001)
Advanced Multimedia Systems (EEE8010)
- 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.
- Zohny Z, Naqvi SM, Wang W, Chambers JA. Robust Variational Bayesian Clustering for Speech Separation. IEEE Trans. Signal Processing 2017. Submitted.
- 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.
- 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 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, 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.
- 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.
- 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.
- Fu Z, Feng P, Naqvi SM, Chambers JA. Particle PHD filter based multi-target tracking using discriminative group-structured dictionary learning. In: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 2017, New Orleans, LA, USA: Institute of Electrical and Electronics Engineers Inc.
- 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: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 2017, New Orleans, LA, USA: Institute of Electrical and Electronics Engineers Inc.
- Rafique W, Naqvi SM, Chambers JA. Speech source separation using the IVA algorithm with multivariate mixed super Gaussian student's T source prior in real room environment. In: 2nd IET International Conference on Intelligent Signal Processing 2015 (ISP). 2015, London, UK: Institution of Engineering and Technology.