Rate My Professor Wenwu Wang

Wenwu Wang is a Professor of Signal Processing and Machine Learning in the Faculty of Engineering and Physical Sciences at the University of Surrey, UK. He serves as Co-Director of the Machine Audition Lab within the Centre for Vision, Speech and Signal Processing, Associate Head for External Engagement in the School of Computer Science and Electronic Engineering, and AI Fellow at the Surrey Institute for People-Centred Artificial Intelligence. Born in Anhui, China, he earned his B.Sc. degree in 1997, M.E. degree in 2000—with the Outstanding Postgraduate Award and scholarships—and Ph.D. degree in 2002, all with highest honors, from Harbin Engineering University. His early career included roles at King's College London (2002–2003), Cardiff University (2004–2005), Tao Group Ltd. (2005–2006), and Creative Labs (2006–2007). He joined the University of Surrey in May 2007 as an RCUK Academic Fellow, advancing to Lecturer (2009), Senior Lecturer (2013), Reader (2015), and Professor (2019). Additional appointments include Visiting Scholar at Ohio State University (2008) and Guest Professor at Qingdao University of Science and Technology (2018–2025) and Tianjin University (2020–2023).

Professor Wang's research focuses on signal processing, machine learning, artificial intelligence, perceptual modelling, machine audition, multimodal fusion and learning, and statistical anomaly detection, particularly in audio source separation, generation, captioning, and applications to IoT, UAV computing, and creative audio. He has authored or co-authored over 400 publications, including books *Machine Audition: Principles, Algorithms and Systems* (IGI Global, 2010) and *Blind Source Separation: Advances in Theory, Algorithms and Applications* (Springer, 2014), and key papers such as "PANNs: Large-Scale Pretrained Audio Neural Networks for Audio Pattern Recognition" (2020), "AudioLDM 2: Learning Holistic Audio Generation with Self-supervised Pretraining" (2024), and "AudioSR: Versatile Audio Super-Resolution at Scale" (2024). He has led or co-led more than 40 projects with over £40 million in funding from UKRI, EPSRC, EU, Dstl, and partners like BBC, Meta, and Huawei. Awards include IEEE Fellow (2026) for contributions to audio classification, generation, and source separation; Meta Distinguished Faculty Award (2026); Audio Engineering Society Best Technical Paper Award (2025); IEEE Signal Processing Society Young Author Best Paper Award (2022); and multiple DCASE awards. He holds editorial roles such as Senior Area Editor for IEEE Open Journal of Signal Processing (2025–2027) and chairs IEEE Signal Processing Society committees.