Wenwu Wang is a Professor in Signal Processing and Machine Learning, and a CoDirector of the Machine Audition Lab within the Centre for Vision Speech and Signal Processing. His current research interests include signal processing, machine learning and perception, with a focus on audio/speech and multimodal (e.g. audio-visual) data. He has (co)-authored over 250 papers in these areas. He is a (co-)recipient of over 15 awards including the Best Paper Award on ICAUS 2021, Judge's Award on DCASE 2020, the Reproducible System Award on DCASE 2019 and 2020, Best Student Paper Award on LVA/ICA 2018, the Best Oral Presentation on FSDM 2016, Best Student Paper Award finalists on ICASSP 2019 and LVA/ICA 2010, the TVB Europe Award for Best Achievement in Sound in 2016, the Best Solution Award on the Dstl Challenge in 2012, and the 1st place in 2020 DCASE challenge on "Urban Sound Tagging with Spatio-Temporal Context", and the 1st place in the 2017 DCASE Challenge on "Large-scale Weakly Supervised Sound Event Detection for Smart Cars". He is a Senior Area Editor (2019-) for IEEE Transactions on Signal Processing, an Associate Editor (2020-) for IEEE/ACM Transactions on Audio Speech and Language Processing, and an Associate Editor (2019-) for EURASIP Journal on Audio Speech and Music Processing. He is a Specialty Editor in Chief (2021-) of Frontier in Signal Processing, and was an Associate Editor (2014-2018) for IEEE Transactions on Signal Processing. He is elected to Vice Chair (2022-) of IEEE Machine Learning for Signal Processing Technical Committee, a Member (2021-) of the IEEE Signal Processing Theory and Methods Technical Committee, and a Member (2019-) of the International Steering Committee of Latent Variable Analysis and Signal Separation. He was a Publication Co-Chair for ICASSP 2019, Brighton, UK. He is a Satellite Workshop Co-Chair for INTERSPEECH 2022, Incheon, Korea.