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Resume (English only)
Academic Achievements
Published numerous academic papers such as 'Acoustic screening for obstructive sleep apnoea in home environments based on deep neural networks' (2022), 'Snorer diarisation based on deep neural network embeddings' (2020), etc.; co-edited the book 'Computational auditory scene analysis: Principles, Algorithms, and Applications'.
Research Experience
Serves as a Professor in the Department of Computer Science at the University of Sheffield; involved in various research projects including acoustic screening for obstructive sleep apnoea in home environments, snorer diarisation, and developing a self-administered conversation analysis based training programme for cochlear implant users.
Background
Main research interest is Computational Auditory Scene Analysis (CASA), aiming to build machine systems that mimic the ability of human listeners to segregate complex mixtures of sound. Also interested in reverberation-robust automatic speech recognition, hearing impairment, and music technology.