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Syed Mohsen Naqvi (Senior Member, IEEE) received the Ph.D. degree in signal processing from Loughborough University, Loughborough, U.K., in 2009.
Prior to his postgraduate studies with Cardiff and Loughborough Universities U.K., he was with the National Engineering and Scientific Commission (NESCOM), Pakistan, from 2002 to 2005. He was a Postdoctoral Research Associate on the EPSRC U.K.-funded projects and Research Excellence Framework (REF) Lecturer from 2009 to 2015. He is currently an Associate Professor/Senior Lecturer of signal and information processing with the School of Engineering, Newcastle University, Newcastle upon Tyne, U.K. He is also leading Intelligent Sensing Lab, Newcastle University, with major research focused on multimodal processing for human behavior analysis, multitarget tracking, mental health detection, and speech processing; all for AI. He organized special sessions in FUSION, delivered seminars and was a speaker at UDRC Summer Schools 2015--2017. His Ph.D. thesis was on the EPSRC U.K. funded project. He has authored or coauthored 150 publications with the main focus of his research being on audio-visual signal and information processing, machine learning and perception, reliable artificial intelligence, and action recognition and anomaly detection.
Dr. Naqvi is an Associate Editor for Signal Processing (Elsevier), IEEE Transactions on Signal Processing, and IEEE/ACM Transactions on Audio, Speech, and Language Processing. He is the Fellow of the Higher Education Academy.
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论文共 138 篇作者统计合作学者相似作者
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ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)pp.7640-7644, (2024)
IEEE Access (2023): 86297-86317
2023 Sensor Signal Processing for Defence Conference (SSPD)pp.1-5, (2023)
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CoRR (2023)
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2023 31st European Signal Processing Conference (EUSIPCO)pp.521-525, (2023)
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2023 IEEE SENSORSpp.1-4, (2023)
2023 IEEE Symposium Series on Computational Intelligence (SSCI)pp.1-6, (2023)
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)pp.1-5, (2023)
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