Staff Profile

Dr Naqvi leads a team in Multimodal Signal and Information Processing 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 (https://www.ncl.ac.uk/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 (https://youtu.be/3GEdxL7JbiE?t=5), human action recognition and human behaviour analysis (https://youtu.be/GBPoMPI94EM?t=5, https://youtu.be/7_mcWCB76Ps?t=5), and human speech processing (https://youtu.be/nmnIZS0HNGU?t=5) including the processing power/resources e.g., GPU Server.

Google scholar: Click here. 

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 

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.

Signal and Information Processing for Machine Learning/AI  (https://youtu.be/0ItduSzg59M)

1. Multi-target Tracking for Security and Surveillance (https://youtu.be/3GEdxL7JbiE?t=5, https://youtu.be/RZKW0n3akbc?t=5) 
2. Multimodal Processing for Human Behaviour Analysis (https://youtu.be/VJD9tYPzHPQ?t=5, https://youtu.be/7_mcWCB76Ps?t=5, https://youtu.be/2IXhW7ZdzCU?t=5)
3. Multimodal Speech Source Separation (https://youtu.be/nmnIZS0HNGU?t=6)

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 (CNTW-NHS) Foundation Trust is one of the largest mental health and disability Trusts in England (https://www.cntw.nhs.uk/ ). 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 Newcastle University 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 (PI) (2022-
2. Intelligent Sensing and AI for Mental Health Detection, BEF/CNTW-NHS Foundation Trust (PI) (2021-
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 Ballistic Missile 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 Yang Xian, 2016-2021 (Lecturer, Zhengzhou University, China)
• Dr Federico Angelini, 2019-2020 (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 Salman Khan, 2011-14 (Assistant Professor, Qatar University, Qatar)  
• Dr Yanfeng Liang, 2010-13 (Serving Defence Organisation, China)

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: How to Apply.

• Nash C, Nair R, Naqvi SM. Machine Learning in ADHD and Depression Mental Health Diagnosis: A Survey. IEEE Transactions on Affective Computing 2023. Submitted.
• Li Y, Sun Y, Wang W, Naqvi SM. Phase-Aware Complex-Cycle-Consistent Self-Supervised Learning for Monaural Speech Enhancement. IEEE Transactions on Audio, Speech and Language Processing 2023. Submitted.
• Yang Y, Fu Z, Naqvi SM. Abnormal Event Detection Using An Enhanced Two-Stream Fusion Method. IEEE Transactions on Cognitive and Developmental Systems 2023. Submitted.
• Xie L, Sun Y, Chambers J, Naqvi SM. Human Fall Events Classification with Noisy Labels: Joint Cooperative Training with Trinity Networks. Journal of Biomedical and Health Informatics 2023. Submitted.
• Li Y, Sun Y, Wang W, Naqvi SM. U-Shaped Transformer with Frequency-Band Aware Attention for Speech Enhancement. IEEE Transactions on Audio, Speech and Language Processing 2022. Submitted.
• Yang Y, Angelini F, Naqvi SM. Pose-Driven Human Activity Anomaly Detection in a CCTV-like Environment. IET Image Processing 2022, epub ahead of print.
• Li Y, Sun Y, Horoshenkov K, Naqvi SM. Domain Adaptation and Autoencoder Based Unsupervised Speech Enhancement. IEEE Transactions on Artificial Intelligence 2021. In Press.
• Xian Y, Sun Y, Wang W, Naqvi SM. Convolutional Fusion Network for Monaural Speech Enhancement. Neural Networks 2021, epub ahead of print.
• Xian Y, Sun Y, Wang W, Naqvi SM. A Multi-Scale Feature Recalibration Network for End-to-End Single Channel Speech Enhancement. IEEE Journal of Selected Topics in Signal Processing 2021, 15(1), 143-155.
• Li Y, Sun Y, Naqvi SM. Single-Channel Dereverberation and Denoising Based on Lower Band Trained SA-LSTMs. IET Signal Processing 2021. In Press.
• Angelini F, Fu Z, Long Y, Shao L, Naqvi SM. 2D Pose-based Real-time Human Action Recognition with Occlusion-handling. IEEE Transactions on Multimedia 2019, 22(6), 1433-1446.
• Sun Y, Xian Y, Wang W, Naqvi MN. Monaural Source Separation in Complex Domain with Long Short-Term Memory Neural Network. IEEE Journal of Selected Topics in Signal Processing 2019, 13(2), 359-369.
• Sun Y, Wang W, Chambers J, Naqvi MN. Two-Stage Monaural Source Separation in Reverberant Room Environments using Deep Neural Networks. IEEE/ACM Transactions on Audio Speech and Language Processing 2019, 27(1), 125-139.
• Ona DI, Tian GY, Sutthaweekul R, Naqvi SM. Design and optimisation of mutual inductance based pulsed eddy current probe. Measurement 2019, 144, 402-409.
• Fu Z, Angelini F, Chambers JC, Naqvi SM. Multi-Level Cooperative Fusion of GM-PHD Filters for Online Multiple Human Tracking. IEEE Transactions on Multimedia 2019, 21(9), 2277-2291.
• Lai X, Zhou L, Fu Z, Naqvi SM, Chambers J. Enhanced Pooling Method for Convolutional Neural Networks based on Optimal Search Theory. IET Image Processing 2019, 13(12), 2152-2161.
• Ona DI, Tian GY, Naqvi SM. Investigation of Signal Conditioning for Tx-Rx PEC Probe at High Lift-off Using a Modified Maxwell's Bridge. IEEE Sensors Journal 2019, (ePub ahead of Print).
• 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, 67(8), 1762-1777.
• 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, 153, 255-265.
• 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.
• 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. Adaptive Retrodiction Particle PHD Filter for Multiple Human Tracking. IEEE Signal Processing Letters 2016, 23(11), 1592-1596.
• Rivet B, Wang W, Naqvi SM, Chambers JA. Audiovisual Speech Source Separation. IEEE Signal Processing Magazine 2014, 31(3), 125-134.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• Xie L, Sun Y, Chambers J, Naqvi SM. Privacy Preserving Multi-class Fall Classification Based on Cascaded Learning and Noisy Labels Handling. In: 2022 25th International Conference on Information Fusion (FUSION). 2022, Linköping, Sweden: IEEE.
• Nash C, Nair R, Naqvi SM. Machine Learning and ADHD Mental Health Detection - A Short Survey. In: 2022 25th International Conference on Information Fusion (FUSION). 2022, Linköping, Sweden: IEEE.
• Li Y, Sun Y, Naqvi SM. Self-Supervised Learning and Multi-Task Pre-Training Based Single-Channel Acoustic Denoising. In: IEEE International Conference on Multisensor Fusion and Integration. 2022, Cranfield University in the United Kingdom: IEEE.
• Yang Y, Fu Z, Naqvi SM. A Two-Stream Information Fusion Approach to Abnormal Event Detection in Video. In: International Conference on Acoustics, Speech and Signal Processing (ICASSP 2022). 2022, Singapore: IEEE.
• Yang Y, Xian Y, Fu Z, Naqvi SM. Video Anomaly Detection for Surveillance Based on Effective Frame Area. 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.
• Yan J, Angelini F, Naqvi SM. Image Segmentation Based Privacy-Preserving Human Action Recognition for Anomaly Detection. In: ICASSP 2020. 2020, Barcelona, Spain: IEEE.
• Xian Y, Sun Y, Wang W, Naqvi SM. Multi-Scale Residual Convolutional Encoder Decoder with Bidirectional Long Short-Term Memory for Single Channel Speech Enhancement. In: European Signal Processing Conference (EUSIPCO). 2020, Dublin, Ireland (virtual): EURASIP.
• Yang Y, Fu Z, Naqvi SM. Enhanced Adversarial Learning Based Video Anomaly Detection with Object Confidence and Position. In: 13th International Conference on Signal Processing and Communication Systems (ICSPCS 2019). 2020, Gold Coast, QLD, Australia: IEEE.
• Angelini F, Naqvi SM. Joint RGB-Pose Based Human Action Recognition for Anomaly Detection Applications. In: 22nd International Conference on Information Fusion (FUSION). 2019, Ottawa, Canada.
• Fu Z, Xin L, Naqvi SM. Enhanced Detection Reliability for Human Tracking Based Video Analytics. In: 22nd International Conference on Information Fusion (FUSION). 2019, Ottawa, Canada.
• Angelini F, Yan J, Naqvi SM. Privacy-preserving Online Human Behviour Anomaly Detection Based on Body Movements and Objects Positions. In: 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 2019, Brighton, UK: IEEE.
• Abbas A, Neasham J, Naqvi SM. Ego-motion Estimation for Low-cost Freehand Ultrasound Scanner. In: 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 2019, Brighton, UK: IEEE.
• Yang Y, Fu Z, Naqvi SM. Enhanced Adversarial Learning Based Video Anomaly Detection with Object Confidence and Position. In: 13th International Conference on Signal Processing and Communication Systems (ICSPCS). 2019, Gold Coast, Australia: IEEE.
• Li Y, Sun Y, Naqvi SM. Monaural Source Separation Based on Sequentially Trained LSTMs in Real Room Environments. In: 27th European Signal Processing Conference (EUSIPCO). 2019, A Coruña, Spain.
• Xian Y, Sun Y, Wang W, Naqvi SM. Monaural Speech Enhancement Based on Two Stage Long Short-term Memory Networks. In: 13th International Conference on Signal Processing and Communication Systems (ICSPCS). 2019, Gold Coast, Australia: IEEE.
• Li Y, Sun Y, Naqvi SM. PSD and Signal Approximation-LSTM Based Speech Enhancement. In: 13th International Conference on Signal Processing and Communication Systems (ICSPCS). 2019, Gold Coast, Australia: IEEE.
• Li Y, Sun Y, Naqvi SM. Sequentially trained DNNs based monaural source separation in real room environments. In: Sensor Signal Processing for Defence Conference (SSPD). 2019, Brighton, UK: IEEE.
• Sun Y, Xian Y, Wang W, Naqvi SM. Single-channel Speech enhancement with sequentially trained DNN system. In: 13th International Conference on Signal Processing and Communication Systems (ICSPCS). 2019, Gold Coast, Australia: IEEE.
• Hussein A, Naqvi SM, Chambers J. Spontaneous facial expression recognition through fusion of geometric and appearance features and deep Network based classification. In: 10th International Multi-Conference on Complexity, Informatics and Cybernetics (IMCIC 2019). 2019, Orlando, Florida, USA: International Institute of Informatics and Systemics.
• Xian Y, Sun Y, Wang W, Naqvi SM. Two Stage Audio-Visual Speech Separation Using Multimodal Convolutional Neural Networks. In: Sensor Signal Processing for Defence Conference (SSPD). 2019, Brighton, UK: IEEE.
• Angelini F, FU Z, Chambers JA, Naqvi MN. 3D-HOG Embedding Frameworks for Single and Multi-Viewpoints Action Recognition Based on Human Silhouettes. In: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2018). 2018, Calgary, Alberta, Canada: IEEE.
• Fu Z, Naqvi SM, Chambers JA. Collaborative Detector Fusion of Data-Driven PHD Filter for Online Multiple Human Tracking. In: 2018 21st International Conference on Information Fusion, FUSION 2018. 2018, Cambridge, UK: IEEE.
• Hussein H, Angelini F, Naqvi M, Chambers JA. Deep-Learning Based Facial Expression Recognition System Evaluated on Three Spontaneous Databases. In: 2018 9th International Symposium on Signal, Image, Video and Communications (ISIVC). 2018, Rabat, Morocco: IEEE.
• Sun Y, Wang Y, Chambers JA, Naqvi SM. Enhanced time-frequency masking by using neural network for monaural source separation in reverberant room environments. In: 2018 26th European Signal Processing Conference (EUSIPCO). 2018, Rome, Italy: Elsevier BV.
• Xian Y, Sun Y, Chambers JA, Naqvi SM. Geometric information based monaural speech separation using deep neural network. In: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2018). 2018, Calgary, Alberta, Canada: IEEE.
• FU Z, Chambers JA, Naqvi MN. GM-PHD Filter Based Online Multiple Human Tracking Using Deep Discriminative Correlation Matching. In: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2018). 2018, Calgary, Alberta, Canada: IEEE.
• Fu Z, Naqvi SM, Chambers JA. Enhanced GM-PHD Filter Using CNN-Based Weight Penalization for Multi-Target Tracking. In: Sensor Signal Processing for Defence Conference (SSPD 2017). 2017, London: IEEE.
• Sun Y, Xian Y, Feng P, Chambers JA, Naqvi SM. Estimation of the Number of Sources in Measured Speech Mixtures with Collapsed Gibbs Sampling. In: Sensor Signal Processing for Defence Conference (SSPD). 2017, London: IEEE.
• Sun Y, Zhu L, Chambers JA, Naqvi SM. Monaural source separation based on adaptive discriminative criterion in neural networks. In: 22nd International Conference on Digital Signal Processing, DSP. 2017, London, UK: Institute of Electrical and Electronics Engineers Inc.
• Fu Z, Feng P, Naqvi M, Chambers JA. Particle PhD Filter Based Multi-Target Tracking Using Discriminative Group-Structured Dictionary Learning. In: International Conference on Acoustics, Speech and Signal Processing (ICASSP 2017). 2017, New Orleans: IEEE.
• 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.
• Fu Z, Feng P, Mohsen Naqvi S, Chambers JA. Robust particle PHD filter with sparse representation for multi-Target tracking. In: International Conference on Digital Signal Processing (DSP). 2017, Beijing, China: IEEE.
• Hussein A, Naqvi SM, Chambers J. Study of image-based expression recognition techniques on three recent spontaneous databases. In: 22nd International Conference on Digital Signal Processing (DSP). 2017, London: IEEE.
• 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.
• Huang YL, Zhang YG, Li N, Naqvi SM, Chambers J. A robust and efficient system identification method for a state-space model with heavy-tailed process and measurement noises. 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. A robust Student's t based cubature filter. In: 19th International Conference on Information Fusion (FUSION). 2016, Heidelberg, Germany: Institute of Electrical and Electronics Engineers.
• Rafique W, Erateb S, Naqvi SM, Dlay SS, Chambers JA. Independent vector analysis for source separation using an energy driven mixed student's T and super Gaussian source prior. In: 24th European Signal Processing Conference (EUSIPCO). 2016, Budapest, Hungary: Institute of Electrical and Electronics Engineers.
• Rafique W, Naqvi SM, Chambers JA. Mixed source prior for the fast independent vector analysis algorithm. In: 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM). 2016, Rio, Brazil: IEEE Computer Society.
• FU Z, Chambers JA, Naqvi MN. Robust Particle PHD Filter with Sparse Representation for Multi-Target Tracking. 2016. In Preparation.
• Zohny Z, Naqvi SM, Wang W, Chambers JA. Robust Variational Bayesian Clustering for Speech Separation. Arcive 2016.
• Feng P, Wang W, Naqvi M, Chambers JA. Social Force Model Aided Robust Particle PhD Filter for Multiple Human Tracking. In: 41st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2016). 2016, Shanghai, China: IEEE.
• 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.
• Feng P, Yu M, Naqvi M, Wang W, Chambers JA. A robust Student's t distribution PHD filter with OVCSM updating for multiple human tracking. In: EUSIPCO 2015. 2015, Nice, France.
• 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.
• Feng P, Wang W, Naqvi M, Chambers JA. Variational Bayesian PhD filter with Deep Learning Network Updating for Multiple Human Tracking. In: SSPD 2015. 2015, Edinburgh, UK.
• Feng PM, Wang WW, Naqvi SM, Chambers JA. Variational Bayesian PHD filter with Deep Learning Network Updating for Multiple Human Tracking. In: 2015 Sensor Signal Processing for Defence (SSPD). 2015, Edinburgh, UK: IEEE.
• Li Y, Sun Y, Naqvi SM. Monaural source separation based on sequentially trained LSTMs in real room environments. In: 27th European Signal Processing Conference (EUSIPCO). 2019, A Coruna, Spain.
• Sun Y, Rafique W, Chambers JA, Naqvi SM. Underdetermined source separation using time-frequency masks and a combined Gaussian-Student’s t probabilistic model. In: 11th IMA International Conference on Mathematics in Signal Processing. 2016, Birmingham, UK: Institute of Mathematics and its Applications.
• Sher D, Murtagh MJ, Naqvi S, Crowley P, White M. Newcastle Black and Ethnic Minority Area of Special Action. In: International Union of Health Education and Health Promotion Conference. 2001, Paris, France.