Wenwu Wang

Wenwu Wang is a Professor of Signal Processing and Machine Learning at the University of Surrey, UK, where he serves as Co-Director of the Machine Audition Lab within the Centre for Vision, Speech and Signal Processing. He is also the Associate Head (External Engagement) of the School of Computer Science and Electronic Engineering and an AI Fellow at the Surrey Institute for People-Centred Artificial Intelligence. His research interests span signal processing, machine learning, artificial intelligence, perceptual modelling, machine audition, multimodal fusion and learning, and statistical anomaly detection. He has authored or co-authored over 400 publications in these fields including two books: Machine Audition: Principles, Algorithms and Systems (IGI Global, 2010) and Blind Source Separation: Advances in Theory Algorithms and Applications (Springer, 2014). He has played a leading role (as PI or Co-I) in more than 40 research projects supported by UKRI, EPSRC, EU, Dstl, MoD, DoD, British Council, Research England, Home Office, Royal Academy of Engineering, Surrey County Council, and major industrial partners including BBC, Meta, NPL, Samsung, Tencent, Huawei, Saab, B&O, Atlas, Kaon, vHive, and Record Games, with a total grant portfolio exceeding £40 million.